U.S. patent application number 15/753604 was filed with the patent office on 2018-08-23 for living body recognition device, living body recognition method, and living body recognition program.
This patent application is currently assigned to NEC Corporation. The applicant listed for this patent is NEC Corporation. Invention is credited to Katsumi ABE, Takeshi AKAGAWA, Ersin ALTINTAS, Tetsuri ARIYAMA, Masahiro KUBO, Yuji OHNO.
Application Number | 20180239979 15/753604 |
Document ID | / |
Family ID | 58186989 |
Filed Date | 2018-08-23 |
United States Patent
Application |
20180239979 |
Kind Code |
A1 |
OHNO; Yuji ; et al. |
August 23, 2018 |
LIVING BODY RECOGNITION DEVICE, LIVING BODY RECOGNITION METHOD, AND
LIVING BODY RECOGNITION PROGRAM
Abstract
A living body determination device includes: a light irradiation
device that irradiates a measuring object with a first light
including a plurality of spectrums; a spectroscopic device that
disperses a light at intensity depending on a wavelength and
outputs the light; an image acquisition device that receives the
light output by the spectroscopic device and outputs image
information representing brightness depending on the intensity of
the light; and a control unit. The control unit, for each spectrum
of the first light, acquires image information with respect to the
measuring object from the image acquisition device, based on the
image information, selects one or more areas, for each of the
areas, acquires spectroscopic information, and based on whether the
spectroscopic information satisfies a predetermined condition,
determines whether the measuring object is a living body.
Inventors: |
OHNO; Yuji; (Tokyo, JP)
; KUBO; Masahiro; (Tokyo, JP) ; ABE; Katsumi;
(Tokyo, JP) ; ALTINTAS; Ersin; (Tokyo, JP)
; AKAGAWA; Takeshi; (Tokyo, JP) ; ARIYAMA;
Tetsuri; (Tokyo, JP) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
NEC Corporation |
Minato-ku, Tokyo |
|
JP |
|
|
Assignee: |
NEC Corporation
Minato-ku, Tokyo
JP
|
Family ID: |
58186989 |
Appl. No.: |
15/753604 |
Filed: |
June 8, 2016 |
PCT Filed: |
June 8, 2016 |
PCT NO: |
PCT/JP2016/067124 |
371 Date: |
February 20, 2018 |
Current U.S.
Class: |
1/1 |
Current CPC
Class: |
G06K 9/2018 20130101;
A61B 5/1176 20130101; A61B 5/0075 20130101; G06K 9/00906 20130101;
G06K 9/00107 20130101; G06K 9/2027 20130101; G06K 9/00255 20130101;
G06K 9/00275 20130101; A61B 5/1171 20160201; G06K 9/4661 20130101;
G06K 9/741 20130101; G01J 3/2823 20130101; G06F 21/32 20130101 |
International
Class: |
G06K 9/00 20060101
G06K009/00; G06K 9/20 20060101 G06K009/20; G01J 3/28 20060101
G01J003/28; G06F 21/32 20060101 G06F021/32 |
Foreign Application Data
Date |
Code |
Application Number |
Sep 3, 2015 |
JP |
2015-173737 |
Claims
1. A living body determination device comprising: a light
irradiation device that irradiates a measuring object with a first
light including a plurality of spectrums; a spectroscopic device
that disperses a light at intensity depending on a wavelength and
outputs the light; an image acquisition device that receives the
light output by the spectroscopic device and outputs image
information representing brightness depending on the intensity of
the light; and a control unit that, for each spectrum of the first
light, acquires image information with respect to the measuring
object from the image acquisition means, device, based on the image
information, selects one or more areas, for each of the areas,
acquires spectroscopic information, and based on whether the
spectroscopic information satisfies a predetermined condition,
determines whether the measuring object is a living body.
2. The living body determination device according to claim 1,
wherein the light irradiation device includes an irradiation
position control unit that controls an irradiation position of the
first light based on the area.
3. The living body determination device according to claim 1,
wherein the control unit, in a state where the light irradiation
device is turned off, acquires first spectroscopic image
information including spectroscopic information for each of the
areas, in a state where the light irradiation device is lighted,
acquires second spectroscopic image information including
spectroscopic information for each of the areas, and based on the
first and second spectroscopic image information, determines
whether the measuring object is a living body.
4. The living body determination device according to claim 1,
further comprising: a target installation unit that places a
position of the measuring object within a predetermined range,
wherein the target installation unit includes a reference unit that
reflects an incident light without changing a spectrum, and wherein
the control unit, for each spectrum of the first light, acquires
image information with respect to the reference unit from the image
acquisition device, based on the image information, acquires
spectroscopic information of the reference unit, and based on
spectroscopic information for each of the areas and spectroscopic
information of the reference unit, determines whether the measuring
object is a living body.
5. The living body determination device according to claim 1,
further comprising: a target installation unit that places a
position of the measuring object within a predetermined range,
wherein the control unit, in a state where the measuring object is
not present in the target installation unit, acquires first
spectroscopic image information including spectroscopic information
for each of the areas, in a state where the measuring object is
present in the target installation unit, acquires second
spectroscopic image information including spectroscopic information
for each of the areas, and based on the first and second
spectroscopic image information, determines whether the measuring
object is a living body.
6. A living body determination method for a living body
determination device that comprises a light irradiation device that
irradiates a measuring object with a first light including a
plurality of spectrums, a spectroscopic device that disperses a
light at intensity depending on a wavelength and outputs the light,
and an image acquisition device that receives the light output by
the spectroscopic device and outputs image information representing
brightness depending on the intensity of the light, the living body
determination method comprising: for each spectrum of the first
light, acquiring image information with respect to the measuring
object from the image acquisition device; based on the image
information, selecting one or more areas and for each of the areas,
acquiring spectroscopic information; and based on whether the
spectroscopic information satisfies a predetermined condition,
determining whether the measuring object is a living body.
7. A non-transitory computer readable medium storing a living body
determination program for causing a computer of a living body
determination device comprising a light irradiation device that
irradiates a measuring object with a first light including a
plurality of spectrums, a spectroscopic device that disperses a
light at intensity depending on a wavelength and outputs the light,
and an image acquisition device that receives the light output by
the spectroscopic device and outputs image information representing
brightness depending on the intensity of the light, to execute the
processes of: for each spectrum of the first light, acquiring image
information with respect to the measuring object from the image
acquisition device; based on the image information, selecting one
or more areas and for each of the areas, acquiring spectroscopic
information; and based on whether the spectroscopic information
satisfies a predetermined condition, determining whether the
measuring object is a living body.
8. (canceled)
9. (canceled)
10. (canceled)
Description
TECHNICAL FIELD
[0001] The disclosed subject matter relates to a living body
determination device, a living body determination method and a
living body determination program for determining whether a
measuring object is a living body. Further, the disclosed subject
matter relates to a biometric authentication device, a biometric
authentication method and a biometric authentication program to
which such living body determination is applied.
BACKGROUND ART
[0002] Provided are various devices and systems having a biometric
authentication function for conducting a biometric authentication
using a biological information representing physical features such
as a fingerprint and a face. However, since there has been a case
where a counterfeit physical feature (for example, printed material
or tablet terminal, counterfeit (face mask)) is erroneously
determined as a real thing, a reliability of the biometric
authentication has not been sufficiently high.
[0003] Thus, as a countermeasure against an unauthorized
authentication using a false finger or the like, a living body
determination for determining whether the measuring object is the
living body is conducted. For example, PTLs 1 and 2 disclose a
device and a system that conduct the living body determination and
the biometric authentication.
[0004] A biological detection device disclosed in PTL 1 detects
whether an object is a living body based on whether a pulse wave is
detected.
[0005] A multi-factor authentication system disclosed in PTL 2
includes non-spectrometric biometric information acquisition means
for capturing an image of a finger and acquiring a fingerprint
image and spectroscopic biometric information acquisition means for
acquiring a diffuse reflectance spectrum from a finger. Based on
the diffuse reflectance spectrum from the finger, whether an object
to be authenticated is a living body having predetermined
spectroscopic characteristics is determined.
CITATION LIST
Patent Literature
PTL 1: Japanese Unexamined Patent Publication No. 2014-184002
PTL 2: Japanese Patent Publication No. 4844939
SUMMARY OF INVENTION
Technical Problem
[0006] However, the devices and the systems disclosed in PTLs 1 and
2 have the following problems.
[0007] In the biological detection device disclosed in PTL 1, when
a thin counterfeit is mounted and when the tablet terminal displays
a face image, a pulse is detected and it is possible that an object
is erroneously determined as a living body.
[0008] In the multi-factor authentication system disclosed in PTL
2, in a living body determination based on the diffuse reflectance
spectrum from the living body (finger), for example, when the
counterfeit is pasted to a part of the living body, there is a case
where a fragment of a film-like counterfeit is overlooked. Further,
when the system is applied to a face authentication, due to effects
of a hair, eyes, a wrinkle, a mole, a lip and the like other than a
skin, it is possible that a determination is erroneously made that
an object is not a living body.
[0009] A purpose of the disclosed subject matter is to solve each
of the above described problems, and to provide a living body
determination device, a living body determination method and a
living body determination program that can detect the thin
counterfeit, the tablet terminal, and the fragment of the
counterfeit and can determine the living body without receiving
influences of materials other than the skin.
[0010] Another purpose of the disclosed subject matter is to
provide a biometric authentication device, a biometric
authentication method and a biometric authentication program that
can improve the reliability of the biometric authentication and
enable ensuring of high degree of security.
Solution to Problem
[0011] In order to achieve the above purpose, according to one
aspect of the disclosed subject matter, a living body determination
device includes: light irradiation means for irradiating a
measuring object with a first light including a plurality of
spectrums; spectroscopic means for dispersing a light at intensity
depending on a wavelength and outputting the light; image
acquisition means for receiving the light output by the
spectroscopic means and outputting image information representing
brightness depending on the intensity of the light; and a control
unit that. For each spectrum of the first light, the control unit
acquires image information with respect to the measuring object
from the image acquisition means, based on the image information,
selects one or more areas, for each of the areas, acquires
spectroscopic information, and based on whether the spectroscopic
information satisfies a predetermined condition, determines whether
the measuring object is a living body.
[0012] According to another aspect of the disclosed subject matter,
a living body determination method is conducted at a device
including light irradiation means for irradiating a measuring
object with a first light including a plurality of spectrums,
spectroscopic means for dispersing a light at intensity depending
on a wavelength and outputting the light, and image acquisition
means for receiving the light output by the spectroscopic means and
outputting image information representing brightness depending on
the intensity of the light. The living body determination method
includes: for each spectrum of the first light, acquiring image
information with respect to the measuring object from the image
acquisition means; based on the image information, selecting one or
more areas and for each of the areas, acquiring spectroscopic
information; and based on whether the spectroscopic information
satisfies a predetermined condition, determining whether the
measuring object is a living body.
[0013] According to further another aspect of the disclosed subject
matter, a living body determination program for causing a computer
of a device that includes light irradiation means for irradiating a
measuring object with a first light including a plurality of
spectrums, spectroscopic means for dispersing a light at intensity
depending on a wavelength and outputting the light, and image
acquisition means for receiving the light output by the
spectroscopic means and outputting image information representing
brightness depending on the intensity of the light, to execute the
processes of: for each spectrum of the first light, acquiring image
information with respect to the measuring object from the image
acquisition means; based on the image information, selecting one or
more areas and for each of the areas, acquiring spectroscopic
information; and based on whether the spectroscopic information
satisfies a predetermined condition, determining whether the
measuring object is a living body.
[0014] In order to achieve the above purpose, a biometric
authentication device including: light irradiation means for
irradiating a measuring object with a first light including a
plurality of spectrums; spectroscopic means for dispersing a light
at intensity depending on a wavelength and outputting the light;
image acquisition means for receiving the light output by the
spectroscopic means and outputting image information representing
brightness depending on the intensity of the light; and a control
unit that, for each spectrum of the first light, acquires image
information with respect to the measuring object from the image
acquisition means, based on the image information, selects one or
more areas, acquires spectroscopic information for each of the
areas, and based on whether the spectroscopic information satisfies
a predetermined condition, determines whether the measuring object
is a living body. The control unit, when the measuring object is
determined to be a living body, acquires, from the image
information, biological information representing a physical
feature, determines whether the biological information matches with
authentication biometric information registered in advance, when
the biological information matches with the authentication
biometric information registered in advance, determines that an
authentication is successful, and when the biological information
does not match with the authentication biometric information
registered in advance, determines that an authentication is not
successful.
[0015] According to another aspect to a biometric authentication
method is conducted at a device including light irradiation means
for irradiating a measuring object with a first light including a
plurality of spectrums, spectroscopic means for dispersing a light
at intensity depending on a wavelength and outputting the light,
and an image acquisition means for receiving the light output by
the spectroscopic means and outputting image information
representing brightness depending on the intensity of the
light.
[0016] The biometric authentication method includes: for each
spectrum of the first light, acquiring image information with
respect to the measuring object from the image acquisition means;
based on the image information, selecting one or more areas and for
each of the areas, acquiring spectroscopic information; based on
whether the spectroscopic information satisfies a predetermined
condition, determining whether the measuring object is a living
body; and when the measuring object is determined to be a living
body, acquiring, from the image information, biological information
representing a physical feature, determining whether the biological
information matches with authentication biometric information
registered in advance, when the biological information matches with
the authentication biometric information registered in advance,
determining that an authentication is successful, and when the
biological information does not match with the authentication
biometric information registered in advance, determining that an
authentication is not successful.
[0017] According to further aspect to the disclosed subject matter,
a biometric authentication program for causing a computer of a
device that includes light irradiation means for irradiating a
measuring object with a first light including a plurality of
spectrums, spectroscopic means for dispersing a light at intensity
depending on a wavelength and outputting the light, and an image
acquisition means for receiving the light output by the
spectroscopic means and outputting image information representing
brightness depending on the intensity of the light, to execute the
processes of: for each spectrum of the first light, acquiring image
information with respect to the measuring object from the image
acquisition means; based on the image information, selecting one or
more areas and for each of the areas, acquiring spectroscopic
information; based on whether the spectroscopic information
satisfies a predetermined condition, determining whether the
measuring object is a living body; and when the measuring object is
determined to be a living body, acquiring, from the image
information, biological information representing a physical
feature, determining whether the biological information matches
with authentication biometric information registered in advance,
when the biological information matches with the authentication
biometric information registered in advance, determining that an
authentication is successful, and when the biological information
does not match with the authentication biometric information
registered in advance, determining that an authentication is not
successful.
BRIEF DESCRIPTION OF DRAWINGS
[0018] FIG. 1 is a block diagram illustrating a configuration of a
living body determination device according to a first example
embodiment of the disclosed subject matter.
[0019] FIG. 2 is a schematic diagram illustrating a configuration
of Fourier transform spectrometer used for the living body
determination device illustrated in FIG. 1.
[0020] FIG. 3 is a block diagram illustrating a configuration of a
computing device of the living body determination device
illustrated in FIG. 1.
[0021] FIG. 4A is a schematic diagram illustrating one example of a
predetermined area in a single piece of total image information
obtained by integrating a plurality of pieces of image
information.
[0022] FIG. 4B is a characteristic diagram illustrating a
wavelength dependence of intensity at the predetermined areas of
the total image information illustrated in FIG. 4A.
[0023] FIG. 5 is a characteristic diagram illustrating one example
of a spectrum of a component part with respect to the living
body.
[0024] FIG. 6 is a flowchart illustrating one procedure of a
biometric determination operation of the living body determination
device illustrated in FIG. 1.
[0025] FIG. 7 is a characteristic diagram illustrating one example
of a spectrum that is a calculation result of spectroscopic image
information.
[0026] FIG. 8 is a characteristic diagram illustrating a
relationship between a reflectance spectrum and a biological
determination spectrum when the object is the living body.
[0027] FIG. 9 is a drawing for illustrating a residual error
between a reflectance spectrum of each of a living body, film
A+living body, and film B+living body and the biological
determination spectrum.
[0028] FIG. 10 is a block diagram illustrating a configuration of a
computing device of a biometric authentication device that is a
first application example in which the living body determination
device according to the first example embodiment of the disclosed
subject matter is applied.
[0029] FIG. 11 is a flowchart illustrating one procedure of a
biometric authentication operation of a biometric authentication
device of the first application example.
[0030] FIG. 12 is a block diagram illustrating a configuration of a
living body determination device according to a second example
embodiment of the disclosed subject matter.
[0031] FIG. 13 is a flowchart illustrating one procedure of a
biometric determination operation of the living body determination
device illustrated in FIG. 12.
[0032] FIG. 14 is a flowchart illustrating one procedure of a
biometric authentication operation of a biometric authentication
device that is a second application example in which the living
body determination device according to the second example
embodiment of the disclosed subject matter is applied.
[0033] FIG. 15 is a block diagram illustrating a configuration of a
living body determination device according to a third example
embodiment of the disclosed subject matter.
[0034] FIG. 16 is a flowchart illustrating one procedure of a
biometric determination operation of a living body determination
device illustrated in FIG. 15.
[0035] FIG. 17 is a block diagram illustrating a configuration of a
first variation of a living body determination device according to
a third example embodiment of the disclosed subject matter.
[0036] FIG. 18 is a block diagram illustrating a configuration of a
second variation of a living body determination device according to
the third example embodiment of the disclosed subject matter.
[0037] FIG. 19 is a flowchart illustrating one procedure of a
biometric authentication operation of a biometric authentication
device that is a third application example in which the living body
determination device according to the third example embodiment of
the disclosed subject matter is applied.
[0038] FIG. 20 is a block diagram illustrating a configuration of a
living body determination device according to a fourth example
embodiment of the disclosed subject matter.
[0039] FIG. 21 is a drawing for explaining operations of a light
irradiation device of the living body determination device
illustrated in FIG. 20.
[0040] FIG. 22 is a flowchart illustrating one procedure of a
biometric determination operation of the living body determination
device illustrated in FIG. 20.
[0041] FIG. 23 is a drawing illustrating one example of a spectrum
of spectroscopic image information calculated by the living body
determination device illustrated in FIG. 20.
[0042] FIG. 24 is a flowchart illustrating one procedure of a
biometric authentication operation of a biometric authentication
device that is a fourth application example in which the living
body determination device according to the fourth example
embodiment of the disclosed subject matter is applied.
[0043] FIG. 25 is a block diagram illustrating a configuration of a
living body determination device according to a fifth example
embodiment of the disclosed subject matter.
[0044] FIG. 26 is a flowchart illustrating one procedure of a
biometric determination operation of the living body determination
device illustrated in FIG. 25.
[0045] FIG. 27 is a drawing illustrating one example of a spectrum
of spectroscopic image information calculated by the living body
determination device illustrated in FIG. 25.
[0046] FIG. 28 is a flowchart illustrating one procedure of a
biometric authentication operation of a biometric authentication
device that is a fifth application example in which the living body
determination device according to the fifth example embodiment of
the disclosed subject matter is applied.
[0047] FIG. 29 is a block diagram illustrating a configuration of a
living body determination device according to a sixth example
embodiment of the disclosed subject matter.
[0048] FIG. 30 is a flowchart illustrating one procedure of a
biometric determination operation of the living body determination
device illustrated in FIG. 28.
[0049] FIG. 31 is a drawing illustrating time changes of the
intensity at a certain pixel and a certain wavelength of the
spectroscopic image information acquired by the living body
determination device illustrated in FIG. 28.
[0050] FIG. 32 is a flowchart illustrating one procedure of a
biometric authentication operation of a biometric authentication
device that is a sixth application example in which the living body
determination device according to the sixth example embodiment of
the disclosed subject matter is applied.
DESCRIPTION OF EMBODIMENTS
[0051] Next, example embodiments of the disclosed subject matter
are described with reference to drawings.
First Example Embodiment
[0052] FIG. 1 is a block diagram illustrating a configuration of a
living body determination device according to a first example
embodiment of the disclosed subject matter.
[0053] With reference to FIG. 1, a living body determination device
10 includes a light irradiation device 101, a target installation
device 102, a spectroscopic device 103, an image acquisition device
104, and a computing device 105.
[0054] The target installation device 102 is a target installation
unit that places a position of a measuring object 1a within a
predetermined range. For example, the target installation device
102 includes an image capture box, a seat to sit an object person
to be measured, and a display unit used for instructing a position
to stand to the object person to be measured.
[0055] Herein, the measuring object 1a is a part of a body (for
example, an upper body, a cephalic region, a face and the like).
FIG. 1 schematically illustrates the cephalic region as one example
of the measuring object 1a.
[0056] The light irradiation device 101 irradiates the target
installation device 102 with light 101a. The light irradiation
device 101 is positioned so as to irradiate the measuring object 1a
from the front. When the target installation device 102 is viewed
from a vertical direction, an optical axis of the light irradiation
device 101 and an optical axis of the spectroscopic device 103
cross at an angle .theta.. Although the angle .theta. can be
appropriately set, the angle is preferably less than 90
degrees.
[0057] The light irradiation device 101 includes a light source
having a plurality of spectrums within a wavelength range that is
from a visible light region to a near infrared light region and an
optical system for directing light emitted from the light source
toward a direction of the target installation device 102. The
visible light region is generally a wavelength region from 380 nm
to 780 nm and the near infrared light region is generally a
wavelength region from 700 nm to 2500 nm. As the light source of
the light irradiation device 101, for example, a white LED obtained
by combining a monochromatic LED (Light Emitting Diode) with
fluorescent materials, a light source that includes a plurality of
light-emitting elements (for example, LED) having different
emission wavelengths, a halogen lamp, a xenon lamp and the like can
be used. Further, as the light source of the light irradiation
device 101, a light source including an optical filter that allows
transmission of only a specific wavelength can be used.
[0058] The light 101a from the light irradiation device 101 is
reflected or scattered at the measuring object 1a, and as a result,
from adjacent of the target installation device 102, lights are
emitted to various directions. A part of radiated lights (reflected
light and scattered light) from the adjacent of the target
installation device 102 is directed to a direction of the
spectroscopic device 103.
[0059] The spectroscopic device 103 receives, from a side of the
target installation device 102, the light, disperses the received
light to the intensity depending on the wavelength, and outputs the
dispersed light. The light output by the spectroscopic device 103
is supplied to the image acquisition device 104. As the
spectroscopic device 103, for example, a dispersive spectroscopic
device, the Fourier transform spectrometer, a liquid crystal
band-pass filter, a device for controlling an irradiation order
when the light irradiation device 101 is a light source that
includes a plurality of light-emitting elements having different
emission wavelengths (hereinafter referred to as "light irradiation
order control device") and the like may be used.
[0060] The Fourier transform spectrometer gives, to the incident
light, the spatial phase difference and emits the interference wave
(interferogram). Specifically, the Fourier transform spectrometer
has, on the optical Fourier transform plane, the phase variable
filter (for example, movable mirror) and by operating the phase
variable filter, gives, to the incident light, the spatial phase
difference. By giving, to the incident light, the spatial phase
difference, an imaging state in an image acquisition device 105
changes. An imaging intensity distribution changes depending on the
given spatial phase difference. Here, by changing the spatial phase
difference in a phased manner or continuously, the interferogram
can be acquired.
[0061] FIG. 2 illustrates one example of the Fourier transform
spectrometer. The Fourier transform spectrometer includes a half
mirror 2a, a fixed mirror 2b and a movable mirror 2c. The radiated
light (incident light) from the adjacent of the seating enters the
half mirror 2a. The light reflected at the half mirror 2a (first
light) is reflected at the fixed mirror 2b, and again enters the
half mirror 2a. The light that transmits the half mirror 2a (second
light) is reflected at the movable mirror 2c, and again enters the
half mirror 2a. Among reflected lights (first light) from the fixed
mirror 2b, the light that transmits the half mirror 2a and among
reflected lights (second light) from the movable mirror 2c, the
light reflected at the half mirror 2a are superimposed with each
other and output on the same optical path. By moving the movable
mirror 2c back and forth, a phase difference is given between the
first light and the second light.
[0062] As another example of the Fourier transform spectrometer,
the wave surfaces of the incident light are divided, to one of
divided lights, any phase difference is given, and then the
superimposed again.
[0063] The dispersive spectroscopic device diverges the incident
lights depending on the wavelength and emits in sequence the
separated lights for each wavelength. The dispersive spectroscopic
device includes a prism spectroscope or a grating spectroscope. As
one example, a configuration of the grating spectroscope is
described.
[0064] The grating spectroscope includes an entrance slit, an exit
slit, first and second spherical mirrors and a diffraction grating.
The entrance slit is positioned at a focal point of the first
spherical mirror and the exit slit is positioned at a focal point
of the second spherical mirror. With the light entering through the
entrance slit, via the first spherical mirror, the diffraction
grating is irradiated. The first spherical mirror converts the
incident light from the entrance slit to the parallel light. The
parallel light that is diffracted by the diffraction grating at an
angle depending on the wavelength, via the second spherical mirror,
is imaged on the exit slit. By rotating the diffraction grating,
the wavelength of the light emitted from the exit slit changes.
[0065] The liquid crystal band-pass filter includes a liquid
crystal, polarizer, and the analyzer. By applying voltage to the
liquid crystal, a transmission wavelength is controlled. By
configuring the filter with a plurality of liquid crystals, the
polarizer, and the analyzer, a half band width of the transmission
wavelength can be controlled. By adding a phase difference plate to
a configuration, a chromatic dispersion may be controlled.
[0066] The image acquisition device 104 is a device that can
acquire two-dimensional image information. As the image acquisition
device 104, for example, a CCD (charge-coupled device) image
sensor, a CMOS (complementary metal oxide semiconductor) image
sensor, an InGaAs (Indium Gallium Arsenide) image sensor, a CIGS
(copper indium gallium selenide) image sensor and the like can be
used. The light output from the spectroscopic device 103 is imaged
on a light receiving surface of the image acquisition device 104.
The image acquisition device 104 outputs the two-dimensional image
information in which the light output from the spectroscopic device
103 is converted to lightness information representing a tone of a
color depending on the intensity thereof. The two-dimensional image
information output from the image acquisition device 104 is
supplied to the computing device 105.
[0067] The computing device 105 controls a lighting operation of
the light irradiation device 101 and a spectroscopic operation of
the spectroscopic device 103, acquires, from the image acquisition
device 104, the image information, and conducts image processing
and biometric authenticity determination processes. The computing
device 105 can be configured, for example, using a computer device
or the like which operates in accordance with a program.
[0068] When the spectroscopic device 103 is the dispersive
spectroscopic device, the computing device 105 causes the
spectroscopic device 103 to diverge the incident lights depending
on the wavelength and to conduct spectroscopic operations of
emitting the separated lights in sequence for each wavelength. For
example, when the spectroscopic device 103 is the grating
spectroscope, by controlling rotational operations of the
diffraction grating, the computing device 105 causes the grating
spectroscope to emit the separated lights in sequence for each
wavelength.
[0069] When the spectroscopic device 103 is the Fourier transform
spectrometer, the computing device 105 causes the spectroscopic
device 103 to give, to the entered light, the spatial phase
difference and to conduct the spectroscopic operations of emitting
the interference wave (interferogram). For example, when the
spectroscopic device 103 is the Fourier transform spectrometer
illustrated in FIG. 2, the computing device 105, by moving the
movable mirror 2c in a phased manner or continuously, causes the
Fourier transform spectrometer to emit the interference wave
(interferogram).
[0070] When the spectroscopic device 103 is the liquid crystal
band-pass filter, the computing device 105 causes the spectroscopic
device 103 to change the voltage and to conduct the spectroscopic
operation of emitting the separated lights in sequence for each
wavelength.
[0071] Note that positions of the spectroscopic device 103 and an
image device 104 are not limited to illustrated positions. The
spectroscopic device 103 and the image device 104 does not
necessarily need to be positioned at the vertical direction of the
target installation device 102, but may be positioned at a
direction tilting from the target installation device 102.
[0072] FIG. 3 illustrates a configuration of the computing device
105. Referring to FIG. 3, the computing device 105 includes a
control unit 3, a memory 4, an input unit 5 and an output unit
6.
[0073] The memory 4 is a storage device such as a HDD (hard disk
drive) and a semiconductor memory and stores the living body
determination program and data that are necessary for conducting
the image processing and the biometric authenticity determination
process. The living body determination program is a program for
causing a computer (CPU (Central Processing Unit) or the like) to
conduct the image processing and the biometric authenticity
determination process. The living body determination program may be
supplied via a communication network (for example, internet) or may
be supplied from a computer-readable recording medium. The
computer-readable recording medium includes, for example, optical
disks such as a CD (Compact Disc) and a DVD (Digital Versatile
Disc), a USB (Universal Serial Bus) memory, a memory card and the
like.
[0074] The output unit 6 is a display device such as a liquid
crystal display and a sound output device such as a speaker. The
input unit 5 includes a keyboard, a sound input device and the
like. When the output unit 6 is a display device, as the input unit
5, a touch panel provided on a display screen may be used.
[0075] The control unit 3 includes the CPU that operates in
accordance with the program, receives an operator guidance from the
input unit 5, controls the lighting operation of the light
irradiation device 101 and the spectroscopic operation of the
spectroscopic device 103, and conducts the image processing and the
biometric authenticity determination process. The control unit 3
includes an image processing unit 3a and a biometric authenticity
determination unit 3b.
[0076] The image processing unit 3a, during a period in which the
light irradiation device 101 is lighted, controls the spectroscopic
operation of the spectroscopic device 103, and acquires, from the
image acquisition device 104, a plurality of pieces of image
information I1 with respect to the measuring object 1a. Here, the
plurality of pieces of image information I1 are pieces of image
information for each wavelength of light reflected or scattered at
the measuring object 1a among the lights 101a emitted from the
light irradiation device 101. In other words, the plurality of
pieces of image information I1 are pieces of image information that
are acquired for each spectrum with respect to each spectrum of the
light 101a.
[0077] The number of pieces of the image information I1 is
determined depending on the wavelength resolution of a
spectroscopic device 104. For example, when the wavelength rang
from the light irradiation device 101 to the light 101a is 500 nm
to 800 nm, the acquisition wavelength range of the spectroscopic
device 104 is 500 nm to 800 nm, and the wavelength resolution is 5
nm, as the pieces of image information I1, from 500 nm to 800 nm,
in 5 nm increments, 61 pieces of two-dimensional image information
are acquired.
[0078] The image processing unit 3a, from the plurality of pieces
of image information I1, acquires spectroscopic information at
predetermined areas of the image, and calculates spectroscopic
image information A. Here, the spectroscopic information represents
the wavelength dependence of the intensity at predetermined areas
of the image. The predetermined area is any site (range of specific
pixel) of the measuring object 1a in the image and can be set in
advance.
[0079] As one example, FIG. 4 illustrates the predetermined areas
of the image. FIG. 4A illustrates a single piece of total image
information obtained by integrating the plurality of pieces of
image information I1. Here, although the image of the face is
schematically illustrated, the image is created for explanations,
and the image is different from an actual image. FIG. 4A
illustrates, as examples of the predetermined areas, r1 (forehead),
r2 (cheek), r3 (ear), r4 (nose), r5 (lip), r6 (jaw), r7 (neck), and
r8 (in vitro).
[0080] FIG. 4B is a graph representing the wavelength dependence of
the intensities at r2, r6 and r8 respectively among the
predetermined areas of the total image information of the face
illustrated in FIG. 4A. As the light irradiation device 101, the
white LED is used, as the spectroscopic device 103, the grating
spectroscope is used, and as the image acquisition device 104, the
CMOS image sensor is used.
[0081] The image processing unit 3a, based on the total image
information, selects one or more areas and for each area, acquires
the spectroscopic information. In other words, the image processing
unit 3a acquires the spectroscopic information of the predetermined
areas of the total image information with one or more areas. For
example, among the predetermined areas, i.e., the areas r1 to r8
illustrated in FIG. 4A, when the areas related to sites
representing the physical features are r1 to r7, the image
processing unit 3a, among the areas r2, r6, and r8 illustrated in
FIG. 4B, acquires pieces of spectroscopic information of the areas
r2 and r6 respectively. Then, the image processing unit 3a
calculates the spectroscopic image information A which is obtained
by adding, to the spectroscopic information, each piece of image
information I1.
[0082] Note that acquisition operations of the image information I1
are different between when the spectroscopic device 103 is the
dispersive spectroscopic device, the liquid crystal band-pass
filter, or the light irradiation order control device and when the
spectroscopic device 103 is the Fourier transform spectrometer.
[0083] When the spectroscopic device 103 is the dispersive
spectroscopic device, the liquid crystal band-pass filter, or the
light irradiation order control device, the spectroscopic device
103 sequentially supplies the separated lights for each wavelength
to the image acquisition device 104, and thus, the image
acquisition device 104, for each wavelength, outputs the image
information. In this case, the image processing unit 3a, for each
piece of image information I1, acquires, from the image acquisition
device 104, the image information of each wavelength.
[0084] On the other hand, when the spectroscopic device 103 is the
Fourier transform spectrometer, the spectroscopic device 103
supplies the interference wave (interferogram) to the image
acquisition device 104, and thus, the image acquisition device 104
outputs the image information representing the interferogram. In
this case, the image processing unit 3a, for each piece of image
information I1, conducts the Fourier transformation to the image
information of the interferogram output from the image acquisition
device 104, and thus, acquires the image information of each
wavelength.
[0085] The spectroscopic image information A calculated by the
image processing unit 3a is supplied to the biometric authenticity
determination unit 3b. The biometric authenticity determination
unit 3b, based on whether the spectroscopic information in the
spectroscopic image information A satisfies the predetermined
condition, makes the biometric authenticity determination as to
whether the measuring object 1a is the living body.
[0086] The biometric authenticity determination unit 3b determines
whether the absorbancy of the spectroscopic image information A is
higher than a predetermined value. Whether the absorbency is higher
than the predetermined value can be determined depending on whether
the reflectivity is lower than a predetermined value. When the
absorbency is the predetermined value or more, the biometric
authenticity determination unit 3b determines that the
predetermined condition is satisfied. Alternatively, when the
absorbency is smaller than the predetermined value, the biometric
authenticity determination unit 3b determines that the
predetermined condition is not satisfied.
[0087] Further, the biometric authenticity determination unit 3b
compares the spectrum (spectroscopic information) of the
spectroscopic image information A with the biological determination
spectrum stored in the memory 4. The biological determination
spectrum is obtained by combining spectrums with respect to the
living body. The spectrum with respect to the living body is a
spectrum of a component with respect to the living body such as,
for example, Oxyhemoglobin, HbO2, Deoxyhemoglobin, Hb, Bilirubin,
Eumelanin, Pheomelanin, water, carotene, fat, protein.
[0088] FIG. 5 illustrates, as one example of the spectrum of the
component with respect to the living body, the absorption spectrum
of Oxyhemoglobin, HbO2, Deoxyhemoglobin, Hb, Bilirubin, Eumelanin,
and Pheomelanin. Here, the example of the spectrum approximately
36.quadrature. is specially illustrated. Note that the spectrum
with respect to the living body is not limited to the example
illustrated in FIG. 5.
[0089] The combination of the spectrums with respect to the living
body is, for example, a combination of absorption spectrums
(wavelength dependence of extinction coefficient) of biometric
components illustrated in FIG. 5. The combination of the spectrums
with respect to the living body (combination of biometric
components) can be calculated, for example, based on the equation 1
below.
[ Mathematical 1 ] A ( .lamda. ) = log 10 i ( a i x i ( .lamda. ) p
i ) Equation 1 ##EQU00001##
Here, .lamda. represents the wavelength, a.sub.i and p.sub.i
represent coefficients (fitting parameters), and x.sub.i(.lamda.)
represents the wavelength dependence of the extinction coefficient
of each biometric component. The A(.lamda.) that is calculated
through the equation 1 represents the wavelength dependence of the
absorbency.
[0090] The biometric authenticity determination unit 3b calculates
the degree of correlation between the spectrum (spectroscopic
information) of the spectroscopic image information A and the
biological determination spectrum and determines whether the degree
of correlation is the predetermined value or above. When the degree
of correlation is the predetermined value or above, the biometric
authenticity determination unit 3b determines that the
predetermined condition is satisfied. Alternatively, when degree of
correlation is smaller than the predetermined value, the biometric
authenticity determination unit 3b determines that the
predetermined condition is not satisfied.
[0091] The biometric authenticity determination unit 3b, among the
biological determination spectrums, based on a ratio of a plurality
of biometric components, conducts the biometric authenticity
determination as to whether the object is the living body. The
ratio of a plurality of biometric components is, for example, a
ratio between Oxyhemoglobin, HbO2 and Deoxyhemoglobin, Hb. When the
ratio of the plurality of biometric components is the predetermined
value or above, the biometric authenticity determination unit 3b
determines that the predetermined condition is satisfied.
Alternatively, when the ratio of the plurality of biometric
components is smaller than the predetermined value, the biometric
authenticity determination unit 3b determines that the
predetermined condition is not satisfied.
[0092] When the biometric authenticity determination unit 3b
determines that the predetermined condition is satisfied, the
biometric authenticity determination unit 3b outputs a fact that
the biometric authenticity determination is "true" to the output
unit 6. Alternatively, when the biometric authenticity
determination unit 3b determines that the predetermined condition
is not satisfied, the biometric authenticity determination unit 3b
outputs a fact that the biometric authenticity determination is
"false" to the output unit 6.
[0093] Note that the control unit 3, depending on the area (area
selected from area illustrated in FIG. 4B) for acquiring the
spectroscopic information, can control a predetermined range that
specifies a position of the measuring object 1a of the target
installation device 102. For example, the control unit 3, using the
display unit for instructing a position to stand to the measuring
object, can change the predetermined range. When the seat for
sitting the object person to be measured is provided on a stage
that can move in an up-and-down direction, a crosswise direction
and a front.quadrature.back direction, the control unit 3 controls
the operations of the stage and can adjust the predetermined
range.
[0094] Next, the biometric determination operation of the living
body determination device 10 is specifically described.
[0095] FIG. 6 illustrates one procedure of the biometric
determination operation. With reference to FIG. 1, FIG. 3 and FIG.
6, the biometric determination operation is described below. Note
that, here, as the light irradiation device 101, the white LED is
used, as the spectroscopic device 103, the Fourier transform
spectrometer is used, and as the image acquisition device 104, the
CMOS image sensor is used.
[0096] First, at step S100, the image processing unit 3a, in an
irradiation state in which the light irradiation device 101 is
lighted, controls the spectroscopic operation of the spectroscopic
device 103 and acquires, from the image acquisition device 104, the
plurality of pieces of image information I1 with respect to the
measuring object 1a. Then, the image processing unit 3a, based on
the total image information of the plurality of pieces of image
information I1, acquires the spectroscopic information and
calculates the spectroscopic image information A.
[0097] FIG. 7 illustrates one example of the spectrum that is the
calculation result of the spectroscopic image information A. In
FIG. 7, a horizontal axis represents the wavelength and a vertical
axis represents the absorbency. Measurement examples of the
spectroscopic information when the measuring object 1a is each of
the "living body" (here cheek r2), "film A+living body," and "film
B+living body" are illustrated. Here, the spectroscopic information
represents the absorbance spectrum. The "living body" is
illustrated with solid lines. The "film A+living body" is when the
film A is pasted to the cheek and is illustrated with the broken
line with short spaces therebetween. The "film B+living body" is
when the film B is pasted to the cheek, and is illustrated with the
broken lines with long spaces therebetween. The spectroscopic
information of the measuring object 1a includes information of
light reflected or scattered at the measuring object 1a, but is
mainly derived from the light absorption adjacent to the surface of
the measuring object 1a.
[0098] Next, at step S101, the biometric authenticity determination
unit 3b determines whether the spectrum of the spectroscopic image
information A satisfies the predetermined condition. Specifically,
the biometric authenticity determination unit 3b determines whether
the absorbency of the spectroscopic image information A is higher
than the predetermined value, whether the degree of correlation
calculated from the spectrum of the spectroscopic image information
A and the biological determination spectrum is the predetermined
value or above, and whether the ratio of a plurality of components
with respect to the living body of the biological determination
spectrum is higher than the predetermined value.
[0099] FIG. 8 illustrates a relationship between the absorbance
spectrum of the spectroscopic image information A of the "living
body" and the biological determination spectrum (combination of
biometric components). In FIG. 8, a horizontal axis represents the
wavelength and a vertical axis represents the absorbency. The
"finger alone" is illustrated with argyle marks. The biological
determination spectrum is illustrated with the solid lines. Here,
the biological determination spectrum is a combination of
absorption spectrums (wavelength dependence of extinction
coefficient) of the biometric components illustrated in FIG. 5 and
can be calculated based on the above described equation 1.
[0100] FIG. 9 illustrates the residual error between the absorbance
spectrum of each of the "living body," "film A+living body," and
"film B+living body" of the spectroscopic image information A and
the biological determination spectrum. Here, the residual error is
the root-mean-square of the difference between the absorbance
spectrum and the biological determination spectrum.
[0101] The residual error between the reflectance spectrum of the
"finger alone" and the biological determination spectrum is a
threshold value (for example, 0.08) or below. In this case, the
biometric authenticity determination unit 3b determines that degree
of correlation between the spectroscopic image information A and
the biological determination spectrum is the predetermined value or
above. Here, the threshold value is appropriately set depending on
a measurement environment and a group of measuring objects.
[0102] On the other hand, the residual error between the absorbance
spectrum of the "film A+living body" and the biological
determination spectrum exceeds the threshold value. In this case,
the biometric authenticity determination unit 3b determines that
the degree of correlation between the spectroscopic image
information A and the biological determination spectrum is smaller
than the predetermined value. Similarly, the residual error between
the absorbance spectrum of the "film
[0103] B+living body" and the biological determination spectrum
exceeds the threshold value, and thus, the biometric authenticity
determination unit 3b determines that the degree of correlation
between the spectroscopic image information A and the biological
determination spectrum is smaller than the predetermined value.
[0104] With respect to the "living body" whose degree of
correlation is determined to be equal to or higher than the
predetermined value, a determination is also made as to whether a
ratio of a plurality of components with respect to the living body
of the biological determination spectrum is higher than the
predetermined value. In this case, with respect to the coefficient
a.sub.i, a ratio a.sub.HbO2/a.sub.Hb between Oxyhemoglobin,
HbO2a.sub.HbO2 and Deoxyhemoglobin, Hb a.sub.Hb is two and is equal
or above the threshold value (for example, one). In this case, the
biometric authenticity determination unit 3b determines that a
ratio of a plurality of components with respect to the living body
of the biological determination spectrum is higher than the
predetermined value. Here, the threshold value depends on a ratio
between a blood volume of a blue pipe and a blood volume of an
artery in the group of measuring objects and the measurement site
and is appropriately set in accordance with the group of measuring
objects and the site.
[0105] Note that with respect to whether the absorbency of the
spectroscopic image information A is higher than the predetermined
value, it is determined that all of "living body," "film A+living
body," and "film B+living body" are higher than the threshold value
(for example, 0.5 at wavelength 550 nm). The threshold value may be
set not only with a specific wavelength, but also with a plurality
of wavelengths, and, for example, the absorbency about 550 nm of
the biological determination spectrum may be 0.5 or above, and the
absorbency about 600 nm may be 0.2 or above.
[0106] From above, the biometric authenticity determination unit 3b
determines that only the "living body" of the spectroscopic image
information A satisfies the predetermined condition.
[0107] Similarly, with respect to other areas (for example, jaw
r6), the biometric authenticity determination unit 3b determines
whether the spectrum of the spectroscopic image information A
satisfies the predetermined condition. Specifically, the biometric
authenticity determination unit 3b determines whether the
absorbency of the spectroscopic image information A is higher than
the predetermined value, whether the degree of correlation
calculated from the spectrum of the spectroscopic image information
A and the biological determination spectrum is the predetermined
value or above, and whether a ratio of a plurality of components
with respect to the living body of the biological determination
spectrum is higher than the predetermined value.
[0108] Here, an influence of a substance (cosmetic item or the
like) adhered to a face is described. When the cosmetic item (for
example, foundation) is applied, by receiving the influence of the
cosmetic item, it is possible that the biometric component
(Oxyhemoglobin, HbO2 or Deoxyhemoglobin, Hb) may not be detected.
The spectroscopic information of the cosmetic ingredient is
registered in the memory 4 and when, in the spectroscopic image
information A, the biometric component may not be detected and the
cosmetic ingredient is detected, different areas (for example, ear
r3 or neck r7) are selected and whether the spectroscopic image
information A satisfies the predetermined condition is determined.
When, in all areas, the biometric component may not be detected and
the cosmetic ingredient is detected, a determination is made that
the measuring object 1a is not the living body and a fact that the
biometric authenticity determination is "false" is output to the
output unit 6.
[0109] Next, an influence of a skin hair (hair, beard or the like)
is described. For example, the beard is growing, and at the cheek
r2 and the jaw r7, by receiving the influence of the skin hair, it
is possible that the biometric component (Oxyhemoglobin, HbO2 or
Deoxyhemoglobin, Hb) may not be detected. When at the cheek r2 and
the jaw r7, the biometric component may not be detected and the
skin hair is detected, different sites (for example, forehead r1
and neck r7) are selected and whether the spectroscopic image
information A satisfies the predetermined condition is determined.
The presence or absence of the skin hair can be determined based on
the spectrum, and specially can be determined based on the
magnitude of the absorbency.
[0110] When at step S101, it is determined that the predetermined
condition is satisfied, at step S102, the biometric authenticity
determination unit 3b determines that the measuring object 1a is
the living body and outputs a fact that the biometric authenticity
determination is "true" to the output unit 6.
[0111] When at step S101, it is determined that the predetermined
condition is not satisfied, at step S103, the biometric
authenticity determination unit 3b determines that the measuring
object 1a is not the living body and outputs a fact that the
biometric authenticity determination is "false" to the output unit
6.
[0112] The living body determination device 10 according to the
present example embodiment uses the spectroscopic image information
A, and thus, based on spectrums of one or more areas of the
measuring object 1a, can determine whether the object is the living
body. Accordingly, compared with the multi-factor authentication
system disclosed in PTL 2 which conducts the living body
determination based on the diffuse reflectance spectrum from the
finger, the fragment of the counterfeit can be detected and by
taking into consideration of factors such as cosmetic item and the
skin hair other than the skin, the living body can be determined
accurately.
[0113] Further, it is possible to acquire the spectroscopic image
information A reflecting the light absorption adjacent to the
surface with respect to any site of the measuring object 1a. As a
result, compared with the biological detection device disclosed in
PTL 1, a thin counterfeit and tablet terminal can be certainly
discriminated.
[0114] In the above described living body determination device
according to the first example embodiment, the light irradiation
device 101 can be referred to as light irradiation means, the
spectroscopic device 103 can be referred to as spectroscopic means,
and the image acquisition device 104 can be referred to as image
acquisition means. The light irradiation means may include a
plurality of light irradiation devices respectively.
[0115] First application example: biometric authentication device
Next, a biometric authentication device to which the above
described living body determination device according to the first
example embodiment is applied is described.
[0116] The biometric authentication device of this example is
obtained by replacing the computing device 105 of the living body
determination device 10 illustrated in FIG. 1 with the computing
device 105a having the biometric authentication function. Except
for the configuration of the computing device 105a, a configuration
is basically the same as that of the living body determination
device 10.
[0117] FIG. 10 is a block diagram illustrating a configuration of
the computing device 105a.
[0118] Referring to FIG. 10, the computing device 105a includes a
control unit 13, a memory 14, an input unit 15 and an output unit
16. The input unit 15 and the output unit 16 are similar to the
input unit 5 and the output unit 6 illustrated in FIG. 3.
[0119] The memory 14 is similar to the memory 4 illustrated in FIG.
3 and stores the program and data necessary for conducting the
biometric authentication (including biometric authentication
database). The biometric authentication program can also be
provided via the communication network (for example, internet) and
the computer-readable recording medium (optical disks such as CD
and DVD, USB memory, memory card and the like).
[0120] The control unit 13 includes a CPU that operates in
accordance with a program, receives an operator guidance from the
input unit 15, controls the lighting operation of the light
irradiation device 101 and the spectroscopic operation of the
spectroscopic device 103, and conducts image processing, a
biometric authenticity determination process, and a biometric
authentication process. The control unit 13 includes an image
processing unit 13a, a biometric authenticity determination unit
13b and a biometric authentication unit 13c.
[0121] The biometric authenticity determination unit 13b is the
same as the biometric authenticity determination unit 3b
illustrated in FIG. 3. The image processing unit 13a has, in
addition to the functions of the image processing unit 3a
illustrated in FIG. 3, a function of acquiring feature information
representing the physical feature. The measuring object 1a is a
site representing the physical feature (for example, upper body,
cephalic region, face and the like).
[0122] The image processing unit 13a controls the lighting
operation of the light irradiation device 101. The image processing
unit 13a, in an irradiation state in which the light irradiation
device 101 is lighted, acquires, from the image acquisition device
105, the plurality of pieces of image information I1 with respect
to the measuring object 1a. Then, the image processing unit 13a,
using the plurality of pieces of image information I1, calculates
the spectroscopic image information A. A calculation operation of
the spectroscopic image information A is basically the same as a
calculation operation of the spectroscopic image information A of
the image processing unit 3a illustrated in FIG. 3. However,
although the predetermined areas of the image can be set in
advance, the predetermined areas are limited to sites representing
the physical features, for example, areas r1 to r7 illustrated in
FIG. 4A.
[0123] The image processing unit 13a, based on the image
information obtained by totaling up (averaging) the plurality of
pieces of image information I1, calculates the feature information
with respect to the feature point of the measuring object 1a. For
example, when the measuring object 1a is the cephalic region, the
image processing unit 13a, from the image information, calculates
the feature information representing a relative position of parts
of a face, a relative size, and features such as shapes of eyes,
nose, and jaw. Note that the number of pieces of the image
information I1 used for the calculation of the feature information
is not specially limited.
[0124] When the biometric authenticity determination unit 13b
determines that the measuring object 1a is the living body, the
biometric authentication unit 13c acquires, from the memory 14,
information necessary for the biometric authentication (biometric
authentication information) and compares the biometric
authentication information with the feature information. For
example, when the biometric authentication is conducted using the
face, the feature information of the face registered in advance as
the biometric authentication information is stored in the memory 14
in advance. The biometric authentication unit 13c acquires, from
the memory 14, the feature information and compares the
authentication information with the feature information.
[0125] When the feature information matches with the authentication
information, the biometric authentication unit 13c determines that
a person is an authorized person and outputs information
representing that the authentication is successful to the output
unit 16.
[0126] Alternatively, when the feature information does not match
with the authentication information, the biometric authentication
unit 13c determines that a person is an unauthorized person and
outputs information representing an authentication error to the
output unit 16. Further, also when the biometric authenticity
determination unit 13b determines that the measuring object 1a is
not the living body, the biometric authentication unit 13c outputs
information representing the authentication error to the output
unit 16.
[0127] Next, the biometric authentication operation of the
biometric authentication device of this example is specifically
described.
[0128] FIG. 11 illustrates one procedure of the biometric
authentication operation. With reference to FIG. 10 and FIG. 11,
the biometric authentication operation is described below. Note
that here, as the light irradiation device 101, the white LED is
used, as the spectroscopic device 103, the Fourier transform
spectrometer is used, and as the image acquisition device 104, the
CMOS image sensor is used.
[0129] First, at step S150, the image processing unit 13a, in an
irradiation state in which the light irradiation device 101 is
lighted, controls the spectroscopic operation of the spectroscopic
device 103 and acquires, from the image acquisition device 104, the
plurality of pieces of image information I1 with respect to the
measuring object 1a. Then, the image processing unit 13a, from the
total image information of the plurality of pieces of image
information I1, acquires the spectroscopic information, calculates
the spectroscopic image information A, and from the plurality of
pieces of image information I1, calculates the feature
information.
[0130] At step S151, the biometric authenticity determination unit
13b determines whether the spectrum of the spectroscopic image
information A satisfies the predetermined condition. Specifically,
the biometric authenticity determination unit 13b determines
whether the absorbency of the spectroscopic image information A is
higher than the predetermined value, whether the degree of
correlation calculated from the spectrum of the spectroscopic image
information A and the biological determination spectrum is the
predetermined value or above, and whether a ratio of a plurality of
components with respect to the living body of the biological
determination spectrum is higher than the predetermined value.
[0131] When the answer to the determination at step S151 is "Yes,"
at step S152, the biometric authentication unit 13c acquires, from
the memory 14, the biometric authentication information and
determines whether the feature information matches with the
biometric authentication information. When the feature information
matches with the biometric authentication information, at step
S153, the biometric authentication unit 13c determines that a
person is an authorized person and outputs information representing
that the authentication is successful to the output unit 16.
[0132] Alternatively, when an answer to the determination at step
S151 or step S152 is "No," at step S154, the biometric
authentication unit 13c determines that a person is not an
authorized person, and outputs information representing the
authentication error to the output unit 16.
[0133] According to the biometric authentication device of this
example, based on the extremely accurate living body determination
in which the counterfeit is difficult, the biometric authentication
is conducted to the site that is determined to be the living body,
and thus, the reliability of the biometric authentication can be
improved and the advanced security can be ensured.
[0134] Further, since the living body determination device 10 and
the biometric authentication device of this example share the light
irradiation device 101, the spectroscopic device 104 and the image
acquisition device 105, the upsizing of devices can be
suppressed.
[0135] Note that pieces of biometric authentication information may
be accumulated in an external storage device (database) or a
database server. In this case, the biometric authentication unit
13c is, via an unillustrated network, coupled to the external
storage device (database) or a database server.
[0136] Although the biometric authentication information is
registered in the database, it is not limited to this. The
biometric authentication information may be stored in storage means
such as an IC (Integrated Circuit) tag. For example, if the IC tag
storing the biometric authentication information is mounted to a
passport or the like, when the passport is presented, from the IC
tag, the biometric authentication information is red, and the
biometric authentication information is collated with the feature
information.
[0137] Further, the image processing unit 13a, from among the
plurality of pieces of image information I1, may select image
information of a wavelength band in which the feature information
is easily acquired. For example, the image processing unit 13a,
among the plurality of pieces of image information I1, may remove
image information of a side of a long wavelength and may select
image information of a side of a short wavelength.
Second Example Embodiment
[0138] FIG. 12 is a block diagram illustrating a configuration of
the living body determination device according to the second
example embodiment of the disclosed subject matter.
[0139] Although the living body determination device according to
the second example embodiment of the disclosed subject matter has a
configuration similar to that of the device of the first example
embodiment, the living body determination device according to the
second example embodiment of the disclosed subject matter further
includes an irradiation position control device for the light
irradiation device. Here, a configuration different from that of
the first example embodiment is mainly described, and descriptions
of the same configurations are omitted.
[0140] An irradiation position control device 106 is a device for
limiting an irradiate range of light 101b only to an area for
comparing the spectrum with the biological determination spectrum.
As the irradiation position control device 106, for example, a
liquid crystal shutter, a DMD (digital mirror device and the like
can be used.
[0141] The liquid crystal shutter is a device that, by applying
voltage to liquid crystals sandwiched between polarizing plates,
controls the transmission or blocking of light. A plurality of
areas in which electrodes are arranged are provided, and for each
area, by controlling the voltage, the area in which the light
transmits can be controlled arbitrarily. The DMD is obtained by
arranging movable micromirrors in a grid pattern. By changing the
tilt of the mirror with the voltage, ON and OFF can be switched,
and a mirror area assumed to be ON can be controlled
arbitrarily.
[0142] Next, a biometric determination operation of the living body
determination device according to the present example embodiment is
specifically described.
[0143] FIG. 13 illustrates one procedure of the biometric
determination operation. With reference to FIG. 3, FIG. 12 and FIG.
13, the biometric determination operation is described below.
[0144] First, at step S200, the image processing unit 3a acquires,
from the image acquisition device 104, image information 12 with
respect to the measuring object 1a and, from the image information
12, calculates the feature information. Here, if the feature
information can be calculated, the light irradiation device 101
does not need to be lighted. When the feature information may not
be calculated, the control unit 3 causes the light irradiation
device 101 to be lighted, and the image processing unit 3a acquires
the image information 12 and, from the image information 12,
calculates the feature information.
[0145] Next, at step S201, the control unit 3 causes the light
irradiation device 101 to be lighted, controls the irradiation
position control device 106 such that based on the feature
information, only specific areas (r1 to r7) are irradiated with
light and controls the spectroscopic operation of the spectroscopic
device 103. Then, the image processing unit 3a acquires, from the
image acquisition device 104, the plurality of pieces of image
information I1 with respect to the measuring object 1a, based on
the total image information of the plurality of pieces of image
information I1, acquires the spectroscopic information and
calculates the spectroscopic image information A.
[0146] Next, at step S202, the biometric authenticity determination
unit 3b determines whether the spectrum of the spectroscopic image
information A satisfies the predetermined condition. Specifically,
the biometric authenticity determination unit 3b determines whether
the absorbency of the spectroscopic image information A is higher
than the predetermined value, whether the degree of correlation
calculated from the spectrum of the spectroscopic image information
A and the biological determination spectrum is the predetermined
value or above, and whether a ratio of a plurality of components
with respect to the living body of the biological determination
spectrum is higher than the predetermined value.
[0147] At step S202, when it is determined that the predetermined
condition is satisfied, at step S203, the biometric authenticity
determination unit 3b determines that the measuring object 1a is
the living body and outputs a fact that the biometric authenticity
determination is "true" to the output unit 6.
[0148] Alternatively, when at step S202, it is determined that the
predetermined condition is not satisfied, at step S204, the
biometric authenticity determination unit 3b determines that the
measuring object 1a is not the living body and outputs a fact that
the biometric authenticity determination is "false" to the output
unit 6.
[0149] Here, the brightness of the light irradiation device 101 is
controlled such that the glare is suppressed for the object person
to be measured. The glare is evaluated depending on, for example, a
glare index. A glare contrast g of individual light sources is
represented by the equation 2, and the entire glare index GI is
represented with the equation 3.
[ Mathematical 2 ] g = 0.478 L s 1.6 .omega. 0.8 F .times. p 1.6
Equation 2 [ Mathematical 3 ] GI = 10 log 10 0.5 g Equation 3
##EQU00002##
[0150] Here, the L.sub.s represents the luminance of the light
source, .omega. represents the solid angle of the light source as
viewed from an observer, p represents a position index, and F
represents the average luminance of the field of view. The control
unit 3 controls the brightness of the light irradiation device 101
such that the GI is 21 or less, and preferably the GI is 18 or
less.
[0151] According to the living body determination device of the
present example embodiment, in addition to effects described in the
first example embodiment, it is possible to reduce the glare,
reduce a load of a person to be authenticated, and improve the
operability of the living body determination device.
[0152] The variation described in the first example embodiment can
also be applied to the living body determination device according
to the present example embodiment.
[0153] Second application example: biometric authentication
device
[0154] Next, a biometric authentication device to which the above
described living body determination device according to the second
example embodiment is applied is described.
[0155] Although the biometric authentication device of this example
has the same configuration as that of the above described biometric
authentication device that is the first application example, the
biometric authentication device of this example uses an irradiation
position control device for a light irradiation device and includes
a computing device 105b having an irradiation position control unit
instead of the computing device 105.
[0156] FIG. 14 illustrates one procedure of the biometric
authentication operation.
[0157] First, at step S250, the image processing unit 13a acquires,
from the image acquisition device 104, the image information 12
with respect to the measuring object 1a, and from the image
information 12, calculates the feature information. Here, if the
feature information can be calculated, the light irradiation device
101 does not need to be lighted. When the feature information may
not be calculated, the control unit 13 causes the light irradiation
device 101 to be lighted and the image processing unit 13a acquires
the image information 12 and, from the image information 12,
calculates the feature information.
[0158] Next, at step S251, the control unit 13 causes the light
irradiation device 101 to be lighted, controls the irradiation
position control device 106 such that based on the feature
information, only the specific areas (r1 to r7) are irradiated with
the light, and controls the spectroscopic operation of the
spectroscopic device 103. Then, the image processing unit 13a, from
the image acquisition device 104, acquires the plurality of pieces
of image information I1 with respect to the measuring object 1a,
based on the total image information of the plurality of pieces of
image information I1, acquires the spectroscopic information, and
calculates the spectroscopic image information A.
[0159] Next, at step S252, the biometric authenticity determination
unit 13b determines whether the spectrum of the spectroscopic image
information A satisfies the predetermined condition. Specifically,
the biometric authenticity determination unit 13b determines
whether the absorbency of the spectroscopic image information A is
higher than the predetermined value, whether the degree of
correlation calculated from the spectrum of the spectroscopic image
information A and the biological determination spectrum is the
predetermined value or above, and whether a ratio of a plurality of
components with respect to the living body of the biological
determination spectrum is higher than the predetermined value.
[0160] When the answer to the determination at step S252 is "Yes,"
at step S253, the biometric authentication unit 13c acquires, from
the memory 14, the biometric authentication information and
determines whether the feature information matches with the
biometric authentication information. When the feature information
matches with the biometric authentication information, at step
S254, the biometric authentication unit 13c determines that a
person is the authorized person and outputs information
representing that the authentication is successful to the output
unit 16.
[0161] When the answer to the determination at step S252 or step
S253 is "No," at step S255, the biometric authentication unit 13c
determines that a person is not an authorized person and outputs
information representing the authentication error to the output
unit 16.
[0162] Note that, in the above described biometric authentication
operation, the order of step S252 and step S253 may be changed.
[0163] According to the biometric authentication device of this
example, in addition to the effects described in the first
application example, it is possible to reduce the glare, reduce the
load of a person to be authenticated, and improve the operability
of the living body determination device.
[0164] Also to the biometric authentication device of this example,
a configuration and a variation described in the first application
example can be applied.
Third Example Embodiment
[0165] FIG. 15 is a block diagram illustrating a configuration of
the living body determination device according to the third example
embodiment of the disclosed subject matter.
[0166] Referring to FIG. 15, a living body determination device 30
includes a light irradiation device 101, a target installation
device 102, a spectroscopic device 103, an image acquisition device
104, a computing device 105, and a target position control device
107. The target installation device 102, the spectroscopic device
103, the image acquisition device 104, and the computing device 105
are the same as the devices described in the first example
embodiment. A configuration different from that of the first
example embodiment is mainly described below, and descriptions of
the same configuration are omitted.
[0167] The target position control device 107, based on the feature
information that is acquired and calculated by the image processing
unit 3a, induces the position of the measuring object 1a in the
specific range. Induction methods include a method of making the
instruction using the display, a method of making the instruction
using the speaker, and a method of moving the target installation
device 102.
[0168] Next, the biometric determination operation of the living
body determination device according to the present example
embodiment is specifically described.
[0169] FIG. 16 illustrates one procedure of the biometric
determination operation. With reference to FIG. 3, FIG. 15 and FIG.
16, the biometric determination operation is described below.
[0170] First, at step S300, the image processing unit 3a acquires,
from the image acquisition device 104, the image information 12
with respect to the measuring object 1a, and calculates, from the
image information 12, the feature information. Here, if the feature
information can be calculated, the light irradiation device 101
does not need to be lighted. If the feature information may not be
calculated, the control unit 3 causes the light irradiation device
101 to be lighted and the image processing unit 3a acquires the
image information 12 and, from the image information 12, calculates
the feature information.
[0171] Next, at step S301, the control unit 3, based on the feature
information, causes the target position control device 107 to be
operated and moves the measuring object 1a in the predetermined
areas. Specially, the control unit 3 controls the target position
control device 107 such that only the specific areas (r1 to r7) are
irradiated with light.
[0172] At step S302, the image processing unit 3a causes the light
irradiation device 101 to be lighted and controls the spectroscopic
operation of the spectroscopic device 103. Then, the image
processing unit 3a acquires, form the image acquisition device 104,
the plurality of pieces of image information I1 with respect to the
measuring object 1a, based on the total image information of the
plurality of pieces of image information I1, acquires the
spectroscopic information and calculates the spectroscopic image
information A.
[0173] Next, at step S303, the biometric authenticity determination
unit 3b determines whether the spectrum of the spectroscopic image
information A satisfies the predetermined condition. Specifically,
the biometric authenticity determination unit 3b determines whether
the absorbency of the spectroscopic image information A is the
predetermined value or above, whether the degree of correlation
calculated from the spectrum of the spectroscopic image information
A and the biological determination spectrum is the predetermined
value or above, and whether a ratio of a plurality of components
with respect to the living body of the biological determination
spectrum is the predetermined value or above.
[0174] At step S303, when it is determined that the predetermined
condition is satisfied, at step S304, the biometric authenticity
determination unit 3b determines that the measuring object 1a is
the living body and outputs a fact that the biometric authenticity
determination is "true" to the output unit 6.
[0175] Alternatively, when at step S303, it is determined that the
predetermined condition is not satisfied, at step S305, the
biometric authenticity determination unit 3b determines that the
measuring object 1a is not the living body and outputs a fact that
the biometric authenticity determination is "false" to the output
unit 6.
[0176] According to the living body determination device of the
present example embodiment, in addition to the effects described in
the first example embodiment, it is possible to reduce the glare,
reduce a load of a person to be authenticated, and improve the
operability of the living body determination device.
[0177] Also to the living body determination device according to
the present example embodiment, the variation described in the
first example embodiment can be applied. The variation of living
body determination device according to the present example
embodiment is described with reference to FIG. 17 and FIG. 18. FIG.
17 is a block diagram illustrating a configuration of the first
variation of the living body determination device according to the
third example embodiment of the disclosed subject matter. FIG. 18
is a block diagram illustrating a configuration of the second
variation of the living body determination device according to the
third example embodiment of the disclosed subject matter.
[0178] The living body determination device 30a illustrated in FIG.
17 has the same configuration as that of the living body
determination device 30 according to the third example embodiment
of the disclosed subject matter and further includes a light
irradiation device 111. Although the light irradiation device 111
has the same function as that of the light irradiation device 101,
the light irradiation device 111 irradiates an area with light 111a
which area is different from the irradiation position of the light
irradiation device 101 relative to the measuring object 1a.
[0179] According to the living body determination device 30a, in
addition to the effects described in the first example embodiment,
it is possible to reduce the glare, recue the load of a person to
be authenticated, simultaneously conduct the living body
determination of a plurality of positions to shorten the
measurement time, and improve the operability of the living body
determination device.
[0180] The living body determination device 30b illustrated in FIG.
18 has the same configuration as that of the living body
determination device 30 according to the third example embodiment
of the disclosed subject matter and further includes the
irradiation position control device 106. The irradiation position
control device 106 is the same as the device described in the
second example embodiment.
[0181] According to the living body determination device 30b, in
addition to the effects described in the first example embodiment,
it is possible to reduce the glare, reduce the load of a person to
be authenticated, simultaneously conduct the living body
determination of a plurality of positions to shorten the
measurement time, and improve the operability of the living body
determination device.
[0182] Third application example: biometric authentication device
Next, a biometric authentication device to which the above
described living body determination device according to the third
example embodiment is applied is described.
[0183] The computing device 105 of the biometric authentication
device of this example also has a configuration illustrated in FIG.
10. FIG. 19 illustrates one procedure of the biometric
authentication operation.
[0184] First, at step S350, the image processing unit 13a acquires,
from the image acquisition device 104, the image information 12
with respect to the measuring object 1a and, from the image
information 12, calculates the feature information. Here, if the
feature information can be calculated, the light irradiation device
101 does not need to be lighted. Alternatively, when the feature
information may not be calculated, the control unit 13 causes the
light irradiation device 101 to be lighted and the image processing
unit 13a acquires the image information 12 and, from the image
information 12, calculates the feature information.
[0185] Next, at step S351, the control unit 13, based on the
feature information, operates the target position control device
107 and moves the measuring object 1a in the predetermined areas.
Specially, the control unit 13 controls the target position control
device 107 such that only the specific areas (r1 to r7) are
irradiated with light.
[0186] At step S352, the control unit 13 causes the light
irradiation device 101 to be lighted and controls the spectroscopic
operation of the spectroscopic device 103. Then, the image
processing unit 13a, from the image acquisition device 104,
acquires the plurality of pieces of image information I1 with
respect to the measuring object 1a, based on the total image
information of the plurality of pieces of image information I1,
acquires the spectroscopic information, and calculates the
spectroscopic image information A.
[0187] Next, at step S353, the biometric authenticity determination
unit 13b determines whether the spectrum of the spectroscopic image
information A satisfies the predetermined condition. Specifically,
the biometric authenticity determination unit 13b determines
whether the absorbency of the spectroscopic image information A is
higher than the predetermined value, whether the degree of
correlation calculated from the spectrum of the spectroscopic image
information A and the biological determination spectrum is the
predetermined value or above, and whether a ratio of a plurality of
components with respect to the living body of the biological
determination spectrum is higher than the predetermined value.
[0188] When the answer to the determination at step S353 is "Yes,"
at step S354, the biometric authentication unit 13c acquires, from
the memory 14, the biometric authentication information and
determines whether the feature information matches with the
biometric authentication information. When the feature information
matches with the biometric authentication information, at step
S355, the biometric authentication unit 13c determines that a
person is an authorized person and outputs information representing
that the authentication is successful to the output unit 16.
[0189] When the answer to the determinations at step S353 or step
S354 is "No," at step S356, the biometric authentication unit 13c
determines that a person is not an authorized person and outputs
information representing the authentication error to the output
unit 16.
[0190] Note that, in the above described biometric authentication
operation, the order of step S353 and step S354 may be changed.
[0191] According to the biometric authentication device of this
example, in addition to the effects described in the first
application example, it is possible to reduce the glare, reduce the
load of a person to be authenticated, and improve the operability
of the living body determination device. To the biometric
authentication device of this example also, a configuration and a
variation described in the first application example can be
applied.
Fourth Example Embodiment
[0192] FIG. 20 is a block diagram illustrating a configuration of
the living body determination device according to the fourth
example embodiment of the disclosed subject matter.
[0193] Referring to FIG. 20, a living body determination device 40
includes a light irradiation device 111, a target installation
device 102, a spectroscopic device 103, an image acquisition device
104, and a computing device 105. The target installation device
102, the spectroscopic device 103, the image acquisition device
104, and the computing device 105 are the same as the devices
described in the first example embodiment. A configuration
different from that of the first example embodiment is mainly
described below, and descriptions of the same configuration are
omitted.
[0194] The light irradiation device 111 irradiates the target
installation device 102 with the light 111a. FIG. 21 illustrates an
operation example of the light irradiation device 111. At an
interval p, the light irradiation device 111 is turned off. At this
time, the measuring object 1a is irradiated with external light
115b from an external light source 115. At an interval q, the light
irradiation device 111 is lighted. At this time, the measuring
object 1a is irradiated with the light 111a and the external light
115b. The light irradiation device 111 is positioned to irradiate
the measuring object 1a from the front. When the target
installation device 102 is viewed from the vertical direction, the
optical axis of the light irradiation device 111 and the optical
axis of the spectroscopic device 103 cross at an angle .theta.. The
angle .theta. can be appropriately set, but is preferably less than
90 degrees.
[0195] Next, the biometric determination operation of the living
body determination device according to the present example
embodiment is specifically described.
[0196] FIG. 22 illustrates one procedure of the biometric
determination operation. With reference to FIG. 3, FIG. 20, FIG. 21
and FIG. 22, the biometric determination operation is described
below.
[0197] First, at step S400, the control unit 3, at the interval q,
causes the light irradiation device 111 to be turned off and the
image processing unit 3a acquires, from the image acquisition
device 104, a plurality of pieces of image information 13 with
respect to the measuring object 1a. Then, the image processing unit
3a, based on the total image information of the plurality of pieces
of image information 13, acquires the spectroscopic information and
calculates spectroscopic image information B.
[0198] Next, at step S401, the control unit 3, at the interval p,
causes the light irradiation device 111 to be lighted and the image
processing unit 3a acquires, from the image acquisition device 104,
a plurality of pieces of image information 14 with respect to the
measuring object 1a. Then, the image processing unit 3a, based on
the total image information of the plurality of pieces of image
information 14, acquires the spectroscopic information and
calculates spectroscopic image information C.
[0199] FIG. 23 illustrates one example of the spectrums that are
calculation results of the spectroscopic image information B and
the spectroscopic image information C. In FIG. 23, a horizontal
axis represents the wavelength and a vertical axis represents an
intensity of a reflected light.
[0200] A measurement example of the spectroscopic information when
the measuring object 1a is the "living body" (here cheek r2) is
illustrated. Here, the spectroscopic information represents the
spectrum of the reflected light intensity. The spectroscopic image
information B at the interval q is represented with the solid line.
Note that the value represented with the solid line is obtained by
dividing an actual value by 5. The spectroscopic image information
C at the interval p is represented with the broken line. Note that
the value represented by the broken line is obtained by multiplying
the actual value by 2.
[0201] At step S402, the image processing unit 3a, from the
spectroscopic image information B and the spectroscopic image
information C, calculates the spectroscopic image information A.
Specifically, by subtracting, from the spectroscopic image
information C, the spectroscopic image information B, the
spectroscopic image information A is calculated.
[0202] Next, at step S403, the biometric authenticity determination
unit 3b determines whether the spectrum of the spectroscopic image
information A satisfies the predetermined condition. Specifically,
the biometric authenticity determination unit 3b determines whether
the absorbency of the spectroscopic image information A is the
predetermined value or above, whether the degree of correlation
calculated from the spectrum of the spectroscopic image information
A and the biological determination spectrum is the predetermined
value or above, and whether a ratio of a plurality of components
with respect to the living body of the biological determination
spectrum is the predetermined value or above.
[0203] When at step S403, it is determined that the predetermined
condition is satisfied, at step S404, the biometric authenticity
determination unit 3b determines that the measuring object 1a is
the living body and outputs a fact that the biometric authenticity
determination is "true" to the output unit 6.
[0204] Alternatively, at step S403, when it is determined that the
predetermined condition is not satisfied, at step S405, the
biometric authenticity determination unit 3b determines that the
measuring object 1a is not the living body and outputs a fact that
the biometric authenticity determination is "false" to the output
unit 6.
[0205] According to the living body determination device of the
present example embodiment, in addition to the effects described in
the first example embodiment, it is possible to remove influences
of the external light and improve the accuracy.
[0206] To the living body determination device according to the
present example embodiment also, the variation described in the
first example embodiment can be applied. For example, it is
possible to replace operations of the interval p and the interval q
illustrated in FIG. 21 and replace step S400 and step S401 for the
operation.
[0207] Fourth application example: biometric authentication
device
[0208] Next, a biometric authentication device to which the above
described living body determination device according to the fourth
example embodiment is applied is described.
[0209] The computing device 105 of the biometric authentication
device of this example also has the configuration illustrated in
FIG. 10.
[0210] FIG. 24 illustrates one procedure of the biometric
authentication operation.
[0211] First, at step S450, the control unit 13, at the interval q,
causes the light irradiation device 111 to be turned off, and the
image processing unit 13a acquires, from the image acquisition
device 104, the plurality of pieces of image information 13 with
respect to the measuring object 1a. The image processing unit 13a,
based on the total image information of the plurality of pieces of
image information 13, acquires the spectroscopic information and
calculates the spectroscopic image information B.
[0212] Next, at step S451, the control unit 13, at the interval p,
causes the light irradiation device 111 to be lighted and the image
processing unit 13a, from the image acquisition device 104,
acquires the plurality of pieces of image information 14 with
respect to the measuring object 1a. Then, the image processing unit
13a, based on the total image information of the plurality of
pieces of image information 14, acquires the spectroscopic
information and calculates the spectroscopic image information
C.
[0213] At step S452, the image processing unit 13a, from the
spectroscopic image information B and the spectroscopic image
information C, calculates the spectroscopic image information A.
Specifically, the image processing unit 13a, by subtracting, from
the spectroscopic image information C, the spectroscopic image
information B, calculates the spectroscopic image information
A.
[0214] Next, at step S453, the biometric authenticity determination
unit 13b determines whether the spectrum of the spectroscopic image
information A satisfies the predetermined condition. Specifically,
the biometric authenticity determination unit 13b determines
whether the absorbency of the spectroscopic image information A is
higher than the predetermined value, whether the degree of
correlation calculated from the spectrum of the spectroscopic image
information A and the biological determination spectrum is the
predetermined value or above, and whether a ratio of a plurality of
components with respect to the living body of the biological
determination spectrum is higher than the predetermined value.
[0215] When the answer to the determination at step S453 is "Yes,"
at step S454, the biometric authentication unit 13c acquires, from
the memory 14, the biometric authentication information and
determines whether the feature information matches with the
biometric authentication information. When the feature information
matches with the biometric authentication information, at step
S455, the biometric authentication unit 13c determines that a
person is an authorized person and outputs information representing
that the authentication is successful to the output unit 16.
[0216] When the answer to the determination at step S453 or step
S454 is "No," at step S456, the biometric authentication unit 13c
determines that a person is not an authorized person and outputs
information representing the authentication error to the output
unit 16.
[0217] Note that, in the above described biometric authentication
operation, the order of step S450 and step S451 may be changed.
[0218] According to the living body determination device of the
present example embodiment, in addition to effects described in the
first example embodiment, it is possible to remove influences of
the external light and improve the accuracy.
[0219] Also to the biometric authentication device of this example,
a configuration and a variation described in the first application
example can be applied.
Fifth Example Embodiment
[0220] FIG. 25 is a block diagram illustrating a configuration of
the living body determination device according to the fifth example
embodiment of the disclosed subject matter.
[0221] Referring to FIG. 25, a living body determination device 50
includes a light irradiation device 101, a target installation
device 112, a spectroscopic device 103, an image acquisition device
104, and a computing device 105. The light irradiation device 101,
the spectroscopic device 103, the image acquisition device 104, and
the computing device 105 are the same as the devices described in
the first example embodiment. A configuration different from that
of the first example embodiment is mainly described below, and
descriptions of the same configuration are omitted.
[0222] The target installation device 112 is a target installation
unit that places the position of the measuring object 1a within the
predetermined range. For example, the seat for sitting the
measuring object 1a and the display unit for instructing a position
to stand to the measuring object 1a are included. Here, the
measuring object 1a is a part of the body (for example, upper body,
cephalic region, face and the like). In FIG. 25, as one example of
the measuring object 1a, the cephalic region is schematically
illustrated.
[0223] The target installation device 112 further includes a
reference unit 112a. The reference unit 112a reflects light without
changing the spectrum of the light 101a of the light irradiation
device 101. For example, as the reference unit 112a, a standard
white plate can be used.
[0224] The reference unit 112a is provided to a part of the target
installation device 112 and also provided to a position in which
the image acquisition device 104 can acquire image information with
respect to the reference unit 112a when the measuring object is
present at the target installation device 112.
[0225] Next, the biometric determination operation of the living
body determination device according to the present example
embodiment is specifically described.
[0226] FIG. 26 illustrates one procedure of the biometric
determination operation. With reference to FIG. 3, FIG. 25 and FIG.
26, the biometric determination operation is described below.
[0227] First, at step S500, the control unit 3 causes the light
irradiation device 101 to be lighted and the image processing unit
3a acquires, from the image acquisition device 104, the plurality
of pieces of image information I1 with respect to the measuring
object 1a. The image processing unit 3a, based on the total image
information of the plurality of pieces of image information I1,
acquires the spectroscopic information and calculates spectroscopic
image information D at the predetermined areas and spectroscopic
image information E at the reference unit 112a. The predetermined
areas are, for example, r1 (forehead), r2 (cheek), r3 (ear), r4
(nose), r5 (lip), r6 (jaw), and r7 (neck) illustrated in FIG.
4A.
[0228] FIG. 27 illustrates one example of the spectrum that is the
calculation result of the spectroscopic image information D and the
spectroscopic image information E. In FIG. 27, the horizontal axis
represents the wavelength and the vertical axis represents the
reflected light intensity. The measurement example of the
spectroscopic information when the measuring object 1a is the
"living body" (here cheek r2) is illustrated. Here, the
spectroscopic information represents the spectrum of the reflected
light intensity. The spectroscopic image information D at the
predetermined areas is represented with the solid line. Note that a
value represented by the solid line is obtained by multiplying an
actual value by 2. The spectroscopic image information E at the
reference unit 112a is represented with the dot-line. Note that a
value represented by the dot-line is obtained by dividing an actual
value by 20.
[0229] Next, at step 501, the image processing unit 3a, from the
spectroscopic image information D and the spectroscopic image
information E, calculates the spectroscopic image information A.
Specifically, by dividing the spectroscopic image information E by
the spectroscopic image information D, the spectroscopic image
information A is calculated.
[0230] At step S502, the biometric authenticity determination unit
3b determines whether the spectrum of the spectroscopic image
information A satisfies the predetermined condition. Specifically,
the biometric authenticity determination unit 3b determines whether
the absorbency of the spectroscopic image information A is the
predetermined value or above, whether the degree of correlation
calculated from the spectrum of the spectroscopic image information
A and the biological determination spectrum is the predetermined
value or above, and whether a ratio of a plurality of components
with respect to the living body of the biological determination
spectrum is the predetermined value or above.
[0231] When at step S502, it is determined that the predetermined
condition is satisfied, at step S503, the biometric authenticity
determination unit 3b determines that the measuring object 1a is
the living body and outputs a fact that the biometric authenticity
determination is "true" to the output unit 6.
[0232] When at step S502, it is determined that the predetermined
condition is not satisfied, at step S504, the biometric
authenticity determination unit 3b determines that the measuring
object 1a is not the living body and outputs a fact that the
biometric authenticity determination is "false" to the output unit
6.
[0233] According to the living body determination device of the
present example embodiment, in addition to effects described in the
first example embodiment, it is possible to remove influences of
the external light and improve the accuracy.
[0234] To the living body determination device according to the
present example embodiment also, the variation described in the
first example embodiment can be applied.
[0235] Fifth application example: biometric authentication
device
[0236] Next, a biometric authentication device to which the above
described living body determination device according to the fifth
example embodiment is applied is described.
[0237] The computing device 105 of the biometric authentication
device of this example also has the configuration illustrated in
FIG. 10.
[0238] FIG. 28 illustrates one procedure of the biometric
authentication operation.
[0239] First, at step S550, the control unit 13 causes the light
irradiation device 101 to be lighted and the image processing unit
13a acquires, from the image acquisition device 104, the plurality
of pieces of image information I1 with respect to the measuring
object 1a. Then, the image processing unit 13a, based on the total
image information of the plurality of pieces of image information
I1, acquires the spectroscopic information and calculates the
spectroscopic image information D at the predetermined areas and
the spectroscopic image information E at the reference unit.
[0240] Next, at step S551, the image processing unit 13a, from the
spectroscopic image information D and the spectroscopic image
information E, calculates the spectroscopic image information A.
Specifically, the image processing unit 13a, by dividing the
spectroscopic image information E by the spectroscopic image
information D, calculates the spectroscopic image information
A.
[0241] Next, at step S552, the biometric authenticity determination
unit 13b determines whether the spectrum of the spectroscopic image
information A satisfies the predetermined condition. Specifically,
the biometric authenticity determination unit 13b determines
whether the absorbency of the spectroscopic image information A is
higher than the predetermined value, whether the degree of
correlation calculated from the spectrum of the spectroscopic image
information A and the biological determination spectrum is the
predetermined value or above, and whether a ratio of a plurality of
components with respect to the living body of the biological
determination spectrum is higher than the predetermined value.
[0242] When the answer to the determination at step S552 is "Yes,"
at step S553, the biometric authentication unit 13c acquires, from
the memory 14, the biometric authentication information and
determines whether the feature information matches with the
biometric authentication information. When the feature information
matches with the biometric authentication information, at step
S554, the biometric authentication unit 13c determines that a
person is an authorized person and outputs information representing
that the authentication is successful to the output unit 16.
[0243] When the answer to the determination at step S552 or step
S553 is "No," at step S555, the biometric authentication unit 13c
determines that a person is not an authorized person and outputs
information representing the authentication error to the output
unit 16.
[0244] According to the living body determination device of the
present example embodiment, in addition to the effects described in
the first example embodiment, it is possible to remove the
influences of the external light and improve the accuracy.
[0245] To the biometric authentication device of this example also,
a configuration and a variation described in the first application
example can be applied.
Sixth Example Embodiment
[0246] FIG. 29 is a block diagram illustrating a configuration of
the living body determination device according to the sixth example
embodiment of the disclosed subject matter.
[0247] Referring to FIG. 29, a living body determination device 60
includes a light irradiation device 101, a target installation
device 112, a spectroscopic device 103, an image acquisition device
104, and a computing device 105. The light irradiation device 101,
the spectroscopic device 103, the image acquisition device 104 and
the computing device 105 are the same as the devices described in
the first example embodiment. A configuration different from that
of the first example embodiment is mainly described below, and
descriptions of the same configuration are omitted.
[0248] The target installation device 112 is a target installation
unit for placing a position of the measuring object 1a within the
predetermined range. For example, the seat for sitting the
measuring object and the display for instructing a position to
stand to the measuring object are included. Here, the measuring
object 1a is a part of the body (for example, upper body, cephalic
region, face and the like). FIG. 29 schematically illustrates the
cephalic region as one example of the measuring object 1a.
[0249] The target installation device 112 further includes a
reference unit 112b. The reference unit 112b reflects the light
without changing the spectrum of the light 101a of the light
irradiation device 101. For example, as the reference unit 112b, a
standard white plate can be used. The reference unit 112b is
arranged on a substantially entire surface of the target
installation device 112.
[0250] Next, the biometric determination operation of the living
body determination device according to the present example
embodiment is specifically described.
[0251] FIG. 30 illustrates one procedure of the biometric
determination operation. With reference to FIG. 3, FIG. 29 and FIG.
30, the biometric determination operation is described below.
[0252] First, at step S600, the image processing unit 3a, during a
period in which the measuring object 1a is absent, acquires
spectroscopic image information F. Specifically, first, the control
unit 3 causes the light irradiation device 101 to be lighted, and
the image processing unit 3a, based on the image information from
the image acquisition device 104, detects the absence of the
measuring object 1a. Here, the absence of the measuring object 1a
can be detected by, for example, periodically acquiring image
information and confirming whether a plurality of pixels of image
information extracted at a certain time have the substantially same
spectrum. Other absence detection methods include a method of
detecting, with an infrared radiation sensor or the like, that the
measuring object 1a passes the specific area of the target
installation device 112 and a method of detecting the absence by
the operation of the measuring object 1a.
[0253] When the absence of the measuring object 1a is detected, the
image processing unit 3a acquires, from the image acquisition
device 104, a plurality of pieces of image information 15. Then,
the image processing unit 3a, based on the total image information
of the plurality of pieces of image information 15, acquires the
spectroscopic information and calculates the spectroscopic image
information F at the predetermined areas.
[0254] Next, at step S601, the image processing unit 3a, during a
period in which the measuring object 1a is present, acquires
spectroscopic image information G. Specifically, first the control
unit 3 causes the light irradiation device 101 to be lighted and
the image processing unit 3a, based on the image information from
the image acquisition device 104, detects the presence of the
measuring object 1a. To this detection also, a method similar to
that for the absence detection described in step S600 can be
applied.
[0255] When the presence of the measuring object 1a is detected,
the control unit 3 causes the light irradiation device 101 to be
lighted and the image processing unit 3a acquires, from the image
acquisition device 104, a plurality of pieces of image information
16. Then, the image processing unit 3a, based on the total image
information of the plurality of pieces of image information 16,
acquires the spectroscopic information and calculates the
spectroscopic image information G at the predetermined areas.
[0256] Note that immediately after a state in which the measuring
object 1a is absent changes to a state in which the measuring
object 1a is present, the light intensity of the pixel largely
fluctuates, and thereafter with a lapse of time, the fluctuation
quantity of the light intensity gradually becomes small. FIG. 31
illustrates changes of the light intensity of the certain
wavelength of the certain pixel of the spectroscopic image
information when the absent state is changed to the present state.
The interval r represents a period in which the measuring object 1a
is absent and the interval s represents a period in which the
measuring object 1a is present. The interval t represents a period
in which the light intensity of the pixel in the interval s is
stable. In the presence detection of step S600, the image
processing unit 3a detects the interval s (desirably interval
t).
[0257] Next, at step S602, the image processing unit 3a, based on
the spectroscopic image information F and the spectroscopic image
information G, calculates the spectroscopic image information A.
Specifically, the image processing unit 3a, by dividing the
spectroscopic image information F by the spectroscopic image
information G, calculates the spectroscopic image information
A.
[0258] Next, at step S603, the biometric authenticity determination
unit 3b determines whether the spectrum of the spectroscopic image
information A satisfies the predetermined condition. Specifically,
the biometric authenticity determination unit 3b determines whether
the absorbency of the spectroscopic image information A is the
predetermined value or above, whether the degree of correlation
calculated from the spectrum of the spectroscopic image information
A and the biological determination spectrum is the predetermined
value or above, and whether a ratio of a plurality of components
with respect to the living body of the biological determination
spectrum is the predetermined value or above.
[0259] When at step S603, it is determined that the predetermined
condition is satisfied, at step S604, the biometric authenticity
determination unit 3b determines that the measuring object 1a is
the living body and outputs a fact that the biometric authenticity
determination is "true" to the output unit 6.
[0260] Alternatively, when at step S603, it is determined that the
predetermined condition is not satisfied, at step S605, the
biometric authenticity determination unit 3b determines that the
measuring object 1a is not the living body and outputs a fact that
the biometric authenticity determination is "false" to the output
unit 6.
[0261] According to the living body determination device of the
present example embodiment, in addition to the effects described in
the first example embodiment, it is possible to remove the
influences of the external light and improve the accuracy.
[0262] To the living body determination device according to the
present example embodiment also, the variation described in the
first example embodiment can be applied.
Sixth Application Example: Biometric Authentication Device
[0263] Next, a biometric authentication device to which the above
described living body determination device according to the sixth
example embodiment is applied is described.
[0264] The computing device 105 of the biometric authentication
device of this example also has the configuration illustrated in
FIG. 10.
[0265] FIG. 32 illustrates one procedure of the biometric
authentication operation.
[0266] First, at step S650, the image processing unit 13a, during a
period in which the measuring object 1a is absent, acquires the
spectroscopic image information F. Specifically, first the image
processing unit 13a, based on the image information from the image
acquisition device 104, detects the absence of the measuring object
1a, i.e., the interval r illustrated in FIG. 31. For this detection
method also, the method described in the fifth application example
is used.
[0267] When the absence of the measuring object 1a is detected, the
control unit 13 causes the light irradiation device 101 to be
lighted and the image processing unit 13a acquires, from the image
acquisition device 104, the plurality of pieces of image
information IS. Then, the image processing unit 13a, based on the
total image information of the plurality of pieces of image
information IS, acquires the spectroscopic information and
calculates the spectroscopic image information F at the
predetermined areas.
[0268] Next, at step S651, the image processing unit 13a, during a
period in which the measuring object 1a is present, acquires the
spectroscopic image information G. Specifically, first the control
unit 13 causes the light irradiation device 101 to be lighted and
the image processing unit 13a, based on the image information from
the image acquisition device 104, detects the presence of the
measuring object 1a, i.e., the interval s illustrated in FIG. 31
(desirably interval t). To this detection also, a method similar to
that for the presence detection described in step S601 can be
applied.
[0269] When the presence of the measuring object 1a is detected,
the control unit 13 causes the light irradiation device 101 to be
lighted and the image processing unit 13a acquires, from the image
acquisition device 104, the plurality of pieces of image
information 16. Then, the image processing unit 13a, based on the
total image information of the plurality of pieces of image
information 16, acquires the spectroscopic information and
calculates the spectroscopic image information G at the
predetermined areas.
[0270] Next, at step S652, the image processing unit 13a, based on
the spectroscopic image information F and the spectroscopic image
information G, calculates the spectroscopic image information A.
Specifically, the image processing unit 13a, by dividing the
spectroscopic image information F by the spectroscopic image
information G, calculates the spectroscopic image information
A.
[0271] Next, at step S653, the biometric authenticity determination
unit 13b determines whether the spectrum of the spectroscopic image
information A satisfies the predetermined condition. Specifically,
the biometric authenticity determination unit 13b determines
whether the absorbency of the spectroscopic image information A is
higher than the predetermined value, whether the degree of
correlation calculated from the spectrum of the spectroscopic image
information A and the biological determination spectrum is the
predetermined value or above, and whether a ratio of a plurality of
components with respect to the living body of the biological
determination spectrum is higher than the predetermined value.
[0272] When the answer to the determination at step S653 is "Yes,"
at step S654, the biometric authentication unit 13c acquires, from
the memory 14, the biometric authentication information and
determines whether the feature information matches with the
biometric authentication information. When the feature information
matches with the biometric authentication information, at step
S655, the biometric authentication unit 13c determines that a
person is an authorized person and outputs information representing
that the authentication is successful to the output unit 16.
[0273] When the answer to the determination at step S653 or step
S654 is "No," at step S656, the biometric authentication unit 13c
determines that a person is not an authorized person and outputs
information representing the authentication error to the output
unit 16.
[0274] According to the living body determination device of the
present example embodiment, in addition to the effects described in
the first example embodiment, it is possible to remove the
influences of the external light and improve the accuracy.
[0275] To the biometric authentication device of this example also,
a configuration and a variation described in the first application
example can be applied.
[0276] The example embodiments and the application examples of the
disclosed subject matter have been described above as exemplary
examples. However, the disclosed subject matter is not limited to
the above described example embodiments and application examples,
and to the configurations and the operations, various aspects that
can be understood by a person skilled in the art can be
applied.
[0277] Further, although the disclosed subject matter takes forms
such as supplementary notes 1 to 26 below, the disclosed subject
matter is not limited to these forms.
[Supplementary Note 1]
[0278] A living body determination device includes:
[0279] light irradiation means for irradiating a measuring object
with a first light including a plurality of spectrums;
[0280] spectroscopic means for dispersing a light at intensity
depending on a wavelength and outputting the light;
[0281] image acquisition means for receiving the light output by
the spectroscopic means and outputting image information
representing brightness depending on the intensity of the light;
and
[0282] a control unit that, for each spectrum of the first light,
acquires image information with respect to the measuring object
from the image acquisition means, based on the image information,
selects one or more areas, for each of the areas, acquires
spectroscopic information, and based on whether the spectroscopic
information satisfies a predetermined condition, determines whether
the measuring object is a living body.
[Supplementary Note 2]
[0283] The living body determination device according to
supplementary note 1, wherein the control unit, based on a
comparison result between the spectroscopic information and a
predetermined spectral characteristic, determines whether the
measuring object is a living body.
[Supplementary Note 3]
[0284] The living body determination device according to
supplementary note 2, wherein the predetermined spectral
characteristic is a combination of a spectrum of a plurality of
components with respect to a living body.
[Supplementary Note 4]
[0285] The living body determination device according to
supplementary note 3, wherein the control unit, based on a ratio of
a plurality of components with respect to the living body,
determines whether the measuring object is a living body.
[Supplementary Note 5]
[0286] The living body determination device according to any one of
supplementary notes 1 to 4, wherein the control unit, based on an
absolute value of the spectroscopic information, determines whether
the measuring object is a living body.
[Supplementary Note 6]
[0287] The living body determination device according to any one of
supplementary notes 1 to 5, wherein the light irradiation means
includes an irradiation position control unit that, based on the
areas, controls an irradiation position of the first light.
[Supplementary Note 7]
[0288] The living body determination device according to any one of
supplementary notes 1 to 6, further includes:
[0289] a target installation unit that places a position of the
measuring object within a predetermined range.
[Supplementary Note 8]
[0290] The living body determination device according to
supplementary note 7, wherein the control unit, based on the areas,
controls the predetermined range.
[Supplementary Note 9]
[0291] The living body determination device according to any one of
supplementary notes 1 to 8, wherein the control unit, in a state
where the light irradiation means is turned off, acquires first
spectroscopic image information including spectroscopic information
for each of the areas, in a state where the light irradiation
device is lighted, acquires second spectroscopic image information
including spectroscopic information for each of the areas, and
based on the first and second spectroscopic image information,
determines whether the measuring object is a living body.
[Supplementary Note 10]
[0292] The living body determination device according to
supplementary note 7 or 8, wherein
[0293] the target installation unit includes a reference unit that
reflects an incident light without changing a spectrum; and
[0294] the control unit, for each spectrum of the first light,
acquires image information on the reference unit from the image
acquisition means, based on the image information, acquires
spectroscopic information of the reference unit, and based on
spectroscopic information for each of the areas and spectroscopic
information of the reference unit, determines whether the measuring
object is a living body.
[Supplementary Note 11]
[0295] The living body determination device according to any one of
supplementary notes 7, 8 and 10 wherein the control unit, in a
state where the measuring object is not present in the target
installation unit, acquires first spectroscopic image information
including spectroscopic information for each of the areas, in a
state where the measuring object is present in the target
installation unit, acquires second spectroscopic image information
including spectroscopic information for each of the areas, and
based on the first and second spectroscopic image information,
determines whether the measuring object is a living body.
[Supplementary Note 12]
[0296] A living body determination method conducted in a device
includes light irradiation means for irradiating a measuring object
with a first light including a plurality of spectrums,
spectroscopic means for dispersing a light at intensity depending
on a wavelength and outputting the light, and image acquisition
means for receiving the light output by the spectroscopic means and
outputting image information representing brightness depending on
the intensity of the light, the living body determination method
includes:
[0297] for each spectrum of the first light, acquiring image
information on the measuring object from the image acquisition
means;
[0298] based on the image information, selecting one or more areas
and for each of the areas, acquiring spectroscopic information;
and
[0299] based on whether the spectroscopic information satisfies a
predetermined condition, determining whether the measuring object
is a living body.
[Supplementary Note 13]
[0300] A living body determination program for causing a computer
of a device includes light irradiation means for irradiating a
measuring object with a first light including a plurality of
spectrums, spectroscopic means for dispersing a light at intensity
depending on a wavelength and outputting the light, and image
acquisition means for receiving the light output by the
spectroscopic means and outputting image information representing
brightness depending on the intensity of the light, to execute the
processes of:
[0301] for each spectrum of the first light, acquiring image
information on the measuring object from the image acquisition
means;
[0302] based on the image information, selecting one or more areas
and for each of the areas, acquiring spectroscopic information;
and
[0303] based on whether the spectroscopic information satisfies a
predetermined condition, determining whether the measuring object
is a living body.
[Supplementary Note 14]
[0304] A biometric authentication device includes:
[0305] light irradiation means for irradiating a measuring object
with a first light including a plurality of spectrums;
[0306] spectroscopic means for dispersing a light at intensity
depending on a wavelength and outputting the light;
[0307] image acquisition means for receiving the light output by
the spectroscopic means and outputting image information
representing brightness depending on the intensity of the light;
and
[0308] a control unit that, for each spectrum of the first light,
acquires image information on the measuring object from the image
acquisition means, based on the image information, selects one or
more areas, for each of the areas, acquires spectroscopic
information, and based on whether the spectroscopic information
satisfies a predetermined condition, determines whether the
measuring object is a living body, wherein the control unit, when
the measuring object is determined to be a living body, acquires,
from the image information, biological information representing a
physical feature, determines whether the biological information
matches with authentication biometric information registered in
advance, when the biological information matches with the
authentication biometric information registered in advance,
determines that an authentication is successful, and when the
biological information does not match with the authentication
biometric information registered in advance, determines that the
authentication is not successful.
[Supplementary Note 15]
[0309] The biometric authentication device according to
supplementary note 14, wherein the control unit, based on a
comparison result between the spectroscopic information and a
predetermined spectral characteristic, determines whether the
measuring object is a living body.
[Supplementary Note 16]
[0310] The biometric authentication device according to
supplementary note 15, wherein the predetermined spectral
characteristic is a combination of a spectrum of a plurality of
components with respect to a living body.
[Supplementary Note 17]
[0311] The living body determination device according to
supplementary note 16, wherein the control unit, based on a ratio
of a plurality of components with respect to the living body,
determines whether the measuring object is the living body.
[Supplementary Note 18]
[0312] The biometric authentication device according to any one of
supplementary notes 14 to 17, wherein the control unit, based on an
absolute value of the spectroscopic information, determines whether
the measuring object is a living body.
[Supplementary Note 19]
[0313] The biometric authentication device according to any one of
supplementary notes 14 to 18, wherein the light irradiation means
includes an irradiation position control unit that, based on the
areas, controls an irradiation position of the first light.
[Supplementary Note 20]
[0314] The biometric authentication device according to any one of
supplementary notes 14 to 19, further includes:
[0315] a target installation unit that places a position of the
measuring object within a predetermined range.
[Supplementary Note 21]
[0316] The biometric authentication device according to
supplementary note 20, wherein the control unit, based on the
areas, controls the predetermined range.
[Supplementary Note 22]
[0317] The biometric authentication device according to any one of
supplementary notes 14 to 21, wherein the control unit, in a state
where the light irradiation means is turned off, acquires first
spectroscopic image information including spectroscopic information
for each of the areas, in a state where the light irradiation
device is lighted, acquires second spectroscopic image information
including spectroscopic information for each of the areas, and
based on the first and second spectroscopic image information,
determines whether the measuring object is a living body.
[Supplementary Note 23]
[0318] The biometric authentication device according to
supplementary note 20 or 21, wherein
[0319] the target installation unit includes a reference unit that
reflects an incident light without changing a spectrum; and
[0320] the control unit, for each spectrum of the first light,
acquires image information with respect to the reference unit from
the image acquisition means, based on the image information,
acquires spectroscopic information of the reference unit, and based
on spectroscopic information for each of the areas and
spectroscopic information of the reference unit, determines whether
the measuring object is a living body.
[Supplementary Note 24]
[0321] The biometric authentication device according to any one of
supplementary notes 20, 21 and 23 wherein the control unit, in a
state where the measuring object is not present in the target
installation unit, acquires first spectroscopic image information
including spectroscopic information for each of the areas, in a
state where the measuring object is present in the target
installation unit, acquires second spectroscopic image information
including spectroscopic information for each of the areas, and
based on the first and second spectroscopic image information,
determines whether the measuring object is a living body.
[Supplementary Note 25]
[0322] A biometric authentication method conducted at a device
includes light irradiation means for irradiating a measuring object
with a first light including a plurality of spectrums,
spectroscopic means for dispersing a light at intensity depending
on a wavelength and outputting the light, and image acquisition
means for receiving the light output by the spectroscopic means and
outputting image information representing brightness depending on
the intensity of the light, the biometric authentication method
includes:
[0323] for each spectrum of the first light, acquiring image
information with respect to the measuring object from the image
acquisition means;
[0324] based on the image information, selecting one or more areas
and for each of the areas, acquiring spectroscopic information;
[0325] based on whether the spectroscopic information satisfies a
predetermined condition, determining whether the measuring object
is a living body; and
[0326] when the measuring object is determined to be a living body,
acquiring, from the image information, biological information
representing a physical feature, determining whether the biological
information matches with authentication biometric information
registered in advance, when the biological information matches with
the authentication biometric information registered in advance,
determining that an authentication is successful, and when the
biological information does not match with the authentication
biometric information registered in advance, determining that an
authentication is not successful.
[Supplementary Note 26]
[0327] A biometric authentication program for causing a computer of
a device includes light irradiation means for irradiating a
measuring object with a first light including a plurality of
spectrums, spectroscopic means for dispersing a light at intensity
depending on a wavelength and outputting the light, and image
acquisition means for receiving the light output by the
spectroscopic means and outputting image information representing
brightness depending on the intensity of the light to execute the
processes of:
[0328] for each spectrum of the first light, acquiring image
information with respect to the measuring object from the image
acquisition means;
[0329] based on the image information, selecting one or more areas
and for each of the areas, acquiring spectroscopic information;
[0330] based on whether the spectroscopic information satisfies a
predetermined condition, determining whether the measuring object
is a living body; and
[0331] when the measuring object is determined to be a living body,
acquiring, from the image information, biological information
representing a physical feature, determining whether the biological
information matches with authentication biometric information
registered in advance, when the biological information matches with
the authentication biometric information registered in advance,
determining that an authentication is successful, and when the
biological information does not match with the authentication
biometric information registered in advance, determining that an
authentication is not successful.
[0332] According to the disclosed subject matter described above,
it is possible to detect the thin counterfeit, tablet terminal, and
also fragments of the counterfeit and it is possible to accurately
make a determination of the living body without receiving the
influence of materials other than the skin.
[0333] Further, according to the disclosed subject matter, it is
possible to improve the reliability of the biometric authentication
and ensure the high degree of security.
[0334] This application claims priority based on Japanese Patent
Application No. 2015-173737 filed on Sep. 3, 2015, the disclosure
of which is incorporated herein in its entirety.
REFERENCE SIGNS LIST
[0335] 3,13 Control unit [0336] 3a,13a Image processing unit [0337]
3b,13b Biometric authenticity determination unit [0338] 4 Memory
[0339] 5 Input unit [0340] 6 Output unit [0341] 10 Living body
determination device [0342] 13c Biometric authentication unit
[0343] 101 Light irradiation device [0344] 102 Target installation
device [0345] 103 Spectroscopic device [0346] 104 Image acquisition
device [0347] 105 Computing device
* * * * *