WO2013061446A1

WO2013061446A1 - Information processing device, information processing method, and information processing program

Info

Publication number: WO2013061446A1
Application number: PCT/JP2011/074827
Authority: WO
Inventors: 英夫鎌田; 彰孝皆川; 東浦　康之; 健太郎鎹; 克美井出
Original assignee: 富士通フロンテック株式会社
Priority date: 2011-10-27
Filing date: 2011-10-27
Publication date: 2013-05-02
Also published as: JP5655155B2; JPWO2013061446A1

Abstract

The present invention generates biometric information used for verification by considering individual differences. An information processing device (1) generates verification information that is pre-registered when authenticating a user by using biometric information. A retention unit (1a) retains a biological body (2) when acquiring biometric information from the biological body (2). An information acquisition unit (1c) acquires biometric information from the retained biological body (2). A position modification unit (1b) modifies the position of the retained biological body (2). As a consequence, the information processing device (1) is able to acquire the biometric information of the biological body (2) in various positions. An evaluation unit (1d) evaluates the feature amount of the sets of biometric information acquired by the information acquisition unit (1c) for each of the various positions. A generation unit (1e) selects, from among the multiple sets of acquired biometric information, the set of biometric information to be used for verification on the basis of the evaluation performed by means of the evaluation unit (1d). The generation unit (1e) generates verification information used for verifying the biological body from a set of position information with which it is possible to identify the position corresponding to the selected biometric information.

Description

Information processing apparatus, information processing method, and information processing program

The present invention relates to an information processing apparatus, an information processing method, and an information processing program.

The human body includes biological information that can identify an individual, and some of them are used as information for identifying and authenticating the individual. For example, it is known that biometric information that can be used for authentication includes fingerprints, eye retinas and irises, faces, blood vessels, and DNA (Deoxyribo Nucleic Acid).

With the recent progress of biometric authentication technology, various devices for recognizing the characteristics of a living body that is a part of the human body and performing personal authentication have been provided. In biometric authentication, authentication is performed by comparing biometric information (registration template) collected during registration with biometric information acquired during authentication.

In order to improve the accuracy of authentication using this biometric information, it is desirable to acquire biometric information with a certain accuracy each time authentication is performed. However, the user to be authenticated does not necessarily take an appropriate posture at the time of authentication. Therefore, there is a proposal of a positioning device that guides the hand to an appropriate position by contacting the tip or base of the finger with a positioning guide when authentication is performed using a palm or a finger vein.

Also, there is a proposal of a biometric information reading system that acquires finger vein patterns of a plurality of finger postures by moving a finger placement unit in the vertical direction and the horizontal direction by a driving device when acquiring finger vein patterns for verification. .

JP 11-47119 A JP 2008-250601 A

However, since the shape of the living body is different for each individual, the posture in which the characteristics of the living body can be acquired better may be different for each individual, and it is difficult to uniformly guide the optimal posture. In addition, an increase in the number of patterns for recording biometric information causes problems such as an increase in recording capacity for recording biometric information, a decrease in authentication speed during authentication, and an increase in the acceptance rate of others.

The present invention has been made in view of these points, and an object thereof is to provide an information processing apparatus, an information processing method, and an information processing program that can acquire biometric information used for collation in consideration of individual differences. To do.

In order to solve the above problem, the information processing apparatus includes an information acquisition unit, a holding unit, a posture changing unit, an evaluation unit, and a generation unit. The information acquisition unit acquires biological information from the living body. The holding unit holds the living body corresponding to the information acquisition unit. The posture changing unit changes the posture of the living body held by the holding unit. An evaluation part evaluates the feature-value of the biometric information acquired for every some different attitude | position by the information acquisition part. The generating unit generates collation information used for biometric collation from the biometric information selected based on the evaluation among the plurality of obtained biometric information and the posture information that can specify the posture corresponding to the selected biometric information.

Moreover, in order to solve the said subject, the information processing method which a computer performs changes the attitude | position of the biological body hold | maintained by the holding | maintenance part, acquires biological information from a biological body for every several different attitude | position, and acquired biological information The verification information used for the verification of the living body from the biological information selected based on the evaluation among the plurality of acquired biological information and the posture information capable of specifying the posture corresponding to the selected biological information is evaluated. Generate.

In order to solve the above problem, the information processing program changes the posture of the living body held by the holding unit, acquires the biological information from the living body for each of a plurality of different postures, and obtains the feature amount of the acquired biological information. Processing for generating verification information used for biometric verification from the biometric information selected based on the evaluation among the plurality of biometric information that has been evaluated and acquired, and the posture information that can specify the posture corresponding to the selected biometric information Is executed on the computer.

According to the information processing apparatus, the information processing method, and the information processing program, it is possible to acquire biometric information used for matching in consideration of individual differences.
These and other objects, features and advantages of the present invention will become apparent from the following description taken in conjunction with the accompanying drawings which illustrate preferred embodiments by way of example of the present invention.

It is a figure which shows the structure of the information processing apparatus of 1st Embodiment. It is a figure which shows the structure of the authentication system of 2nd Embodiment. It is a figure which shows the external appearance of the sensor unit of 2nd Embodiment. It is a figure which shows an example of the finger | toe space | interval change of the three-finger support part of 2nd Embodiment. It is a figure which shows an example of the 1st finger / 5th finger dripping amount change of the 1st finger / 5th finger support part of 2nd Embodiment. It is a figure which shows an example of the wrist support part position change of the wrist support part of 2nd Embodiment. It is a figure which shows the structure of the sensor unit of 2nd Embodiment. It is a figure which shows the hardware structural example of the registration apparatus of 2nd Embodiment. It is a flowchart of the template registration process of 2nd Embodiment. It is a flowchart of the wrist support part position adjustment process of 2nd Embodiment. It is a flowchart of the attitude | position adjustment range determination process of 2nd Embodiment. It is a flowchart of the finger | toe space | interval change process of 2nd Embodiment. It is a flowchart of the 1st finger / 5th drooping amount change process of 2nd Embodiment. It is a flowchart of the biometric information extraction process for collation of 2nd Embodiment. It is a figure which shows an example of the finger space | interval biometric information table of 2nd Embodiment. It is a figure which shows an example of the 1st finger / 5th finger dripping amount biometric information table of 2nd Embodiment. It is a figure which shows an example of the rank table of 2nd Embodiment. It is a figure which shows an example of the combination biometric information table of 2nd Embodiment. It is a flowchart of the authentication process of 2nd Embodiment.

Hereinafter, embodiments will be described with reference to the drawings.
[First Embodiment]
First, the information processing apparatus according to the first embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating the configuration of the information processing apparatus according to the first embodiment.

The information processing apparatus 1 generates verification information registered in advance when authenticating a user using biometric information. The biological information is information that can uniquely identify a user specific to the user's biological body. The biological information includes, for example, a palm vein pattern.

The information processing apparatus 1 includes a holding unit 1a, an attitude change unit 1b, an information acquisition unit 1c, an evaluation unit 1d, and a generation unit 1e. The holding unit 1 a holds the living body 2 when acquiring biological information from the living body 2. The information acquisition unit 1c acquires biological information from the living body 2 held by the holding unit 1a. The posture changing unit 1b changes the posture of the living body 2 held by the holding unit 1a. Thereby, the information processing apparatus 1 can acquire biological information of various postures from the living body 2.

The evaluation unit 1d evaluates the feature amount of the biological information acquired for each of a plurality of different postures by the information acquisition unit 1c. The generation unit 1e selects biometric information for verification based on the evaluation performed by the evaluation unit 1d from among the plurality of acquired biological information. The generation unit 1e generates collation information used for biometric collation from posture information that can specify the posture corresponding to the selected biological information. The posture information is information that can identify the posture changed by the posture changing unit 1b.

Thereby, the information processing apparatus 1 acquires biometric information used for verification from the biometric information of various postures acquired from the biometric 2, and selects biometric information suitable for verification. That is, the information processing apparatus 1 can select biometric information suitable for collation even when the appropriate posture is different for each individual. Then, the information processing apparatus 1 generates verification information from the biometric information and the posture information corresponding to the biometric information, thereby enabling authentication with the same posture as that during registration.

[Second Embodiment]
Next, an authentication system according to the second embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration of the authentication system according to the second embodiment. As the second embodiment, an information processing system in which the authentication system 3 performs authentication using a palm vein is exemplified. However, the present invention is not limited to this, and other feature detection parts of a living body whose feature amount also changes due to a change in posture. It can also be applied to a system that performs authentication. More preferably, the authentication system 3 is applicable not only to posture changes such as yawing, pitching, and rolling, but also to a system that performs authentication at a feature detection site having a posture change accompanying a shape change such as a palm.

The authentication system 3 is one of information processing systems that recognizes the characteristics of a living body and identifies and authenticates an individual. For example, the customer system is authenticated by a bank system or the like. The authentication system 3 includes an information processing device such as a registration device 10, a plurality of automatic depositing devices 6 and an authentication server 4, and a network 8.

The authentication server 4 associates and stores identification information for identifying an individual and verification information (template) registered in advance before biometric authentication. The identification information for identifying an individual is a unique ID (IDentification) assigned to a user directly (for example, a user number) or indirectly (for example, an account number).

The collation information registered in advance includes biometric information for collation and posture information for collation. The biometric information for verification is feature information obtained by extracting a feature portion from image information using a predetermined feature extraction algorithm, encoded information obtained by encoding image information or feature information, and the like. The verification posture information is information for designating a posture at the time of verification.

One or more automatic teller machines 6 are installed in ATMs (Automated Teller Machines) corners 5 and ATM booths 7 located inside financial institutions. The automatic depositing apparatus 6 is one of authentication apparatuses that perform biometric authentication when authenticating a user prior to a financial transaction. The automated teller machine 6 includes an IC (Integrated Circuit) card reader / writer 17 and a sensor unit 20.

The sensor unit 20 includes an imaging device and takes a vein image of the palm of the user. The automatic teller machine 6 includes verification information (verification biometric information) specified from identification information read from a user's IC card (for example, an IC chip built-in cash card) by the IC card reader / writer 17 and the sensor unit 20. The user is authenticated from the biometric information of the acquired user.

The sensor unit 20 holds the posture of the palm of the user based on the verification posture information in the same posture as at the time of template registration. The sensor unit 20 acquires biometric information in the same posture as when the template is registered. That is, the sensor unit 20 is a biological information acquisition device that acquires biological information, and the automatic depositing device 6 is an authentication device that includes the biological information acquisition device.

The registration device 10 is a device that is provided at a bank window or the like, and performs user template registration according to instructions or operations of an attendant. The registration device 10 includes a processing device 11, a display 12, and a sensor unit 20, and includes a keyboard 13, a mouse 14, an IC card reader / writer 15 and the like as necessary. The sensor unit 20 has a built-in imaging device, images the palm of the user, and outputs a captured image to the processing device 11. The IC card reader / writer 15 reads and writes information on the IC card 16 of the user. The keyboard 13 and the mouse 14 accept input operations.

Here, template registration (registration information registration) in the registration apparatus 10 will be described. A user who requests template registration inputs identification information (for example, a user ID) for identifying the user using the keyboard 13, mouse 14, or IC card reader / writer 15. The registration apparatus 10 guides the template registration to the user by display using the display 12, and requests input of biometric information for template registration. The user inputs biometric information by holding his hand over the sensor unit 20. The sensor unit 20 acquires a plurality of pieces of biological information while changing the posture of the hand, and selects biological information to be registered from the acquired pieces of biological information.

The registration device 10 creates verification information from the selected biological information and the posture information corresponding to the selected biological information, and stores the storage unit of the processing device 11, the storage unit of the authentication server 4, or the user's IC card. Record in at least one of the 16 storage units. When performing the biometric authentication, the automated teller machine 6 refers to the template in the storage unit of the authentication server 4 or the storage unit of the IC card 16 and collates the input biometric information.

Next, the sensor unit of the second embodiment will be described with reference to FIGS. FIG. 3 is a diagram illustrating an appearance of the sensor unit according to the second embodiment. FIG. 4 is a diagram illustrating an example of changing the finger interval of the three-finger support unit according to the second embodiment. FIG. 5 is a diagram illustrating an example of a first finger / fifth finger droop amount change of the first finger / fifth finger support unit according to the second embodiment. FIG. 6 is a diagram illustrating an example of changing the wrist support portion position of the wrist support portion according to the second embodiment.

The sensor unit 20 includes a guide unit 40 that supports the palm and a sensor 26 that captures the palm. The guide part 40 has a box shape with an open upper surface, and has a concave chamber 24 that expands from the bottom toward the opening. The concave chamber 24 sets the distance between the sensor 26 and the palm to an appropriate position. The concave chamber 24 prevents intrusion of ambient light in the imaging range of the sensor 26 and prevents unnecessary background reflection.

The sensor 26 is located on the bottom surface of the concave chamber 24 and faces the opening. The sensor 26 is an image sensor that captures the palm (for example, a CMOS (Complementary Metal Oxide Semiconductor) sensor, a CCD (Charge Coupled Device) sensor, etc.), a condenser lens, and a distance to the subject by irradiating the subject. And a plurality of light emitting elements (LED: Light Emitting Diode).

The guide unit 40 includes a three-finger support unit 21, a first / fifth finger support unit 25, and a wrist support unit 27. The three-finger support portion 21 has two finger separation ribs 22 and determines and supports the positions of three fingers (indicating finger, middle finger, ring finger) by the two finger separation ribs 22. The positions of the two finger separation ribs 22 can be changed, and the finger interval between the fingers placed on the three-finger support portion 21 can be adjusted. For example, the guide unit 40 can reduce the finger interval W2 between the fingers placed on the three-finger support unit 21 to the finger interval W1. Moreover, the guide part 40 can widen the finger | toe space | interval W2 of the finger mounted in the three-finger support part 21, and can make it the finger | toe space | interval W3.

The first finger / fifth finger support portion 25 is a support member disposed on the left and right sides of the concave chamber 24, and the first finger and the fifth finger, or the first finger and the fifth finger, and the thumb finger or little finger hill. Can be supported. The height of the first finger / fifth finger support portion 25 can be changed, and the amount of sag (height) of the first finger and the fifth finger placed on the first finger / fifth finger support portion 25 Can be adjusted.

Adjustment of the amount of sagging of the first and fifth fingers is based on the fact that the pinnacle that is the base of the first finger or the little finger hill that is the base of the fifth finger is raised above the center of the palm. Since there are individual differences in the amount of bulge, the posture of each individual is made appropriate. For example, the guide unit 40 reduces the first finger / fifth finger sag amount H2 of the first finger and the fifth finger placed on the first finger / fifth finger support unit 25 to reduce the first finger / fifth finger. The amount of finger sag H1. Further, the guide unit 40 increases the first finger / fifth finger sag amount H2 of the first finger and the fifth finger placed on the first finger / fifth finger support unit 25 to increase the first finger / fifth finger. The amount of finger sag H3.

The wrist support unit 27 supports the wrist. The wrist support portion 27 can adjust the position of the palm in the front-rear direction (direction along the front-rear axis). For example, the guide part 40 can advance the wrist support part 27, and can adjust from the wrist support position L2 to the wrist support position L1. Moreover, the guide part 40 can retract | save the wrist support part 27, and can adjust from the wrist support position L2 to the wrist support position L3.

Thus, the guide part 40 can open the finger naturally when the palm is placed on the guide part 40 by the two finger separation ribs 22, and can guide the entire palm to be horizontal. it can. In addition, since the boundary between the palm and the finger is clearly indicated by the two finger separation ribs 22, the guide unit 40 contributes to the improvement of the palm contour extraction accuracy. Further, the entire palm of the guide unit 40 is leveled by the first finger / fifth finger support unit 25, and the deformation of the vein pattern is reduced to contribute to the stability of the authentication accuracy.

Next, the configuration of the sensor unit 20 will be described with reference to FIG. FIG. 7 is a diagram illustrating a configuration of a sensor unit according to the second embodiment.
The sensor unit (biological information acquisition device) 20 includes a sensing unit 30 and a guide unit (guide device) 40. The sensing unit 30 captures a vein image of the palm and transmits the captured data to the processing device 11. The sensing unit 30 includes a storage unit 31, an imaging unit 32, a control unit 33, and a communication unit 34.

The control unit 33 comprehensively controls each processing unit. The imaging unit (sensor 26) 32 acquires image information from a living body that is a subject. The storage unit 31 temporarily stores the image information acquired by the imaging unit 32. The communication unit 34 communicates with the processing device 11 and the guide unit 40.

The photographing unit 32 photographs near infrared reflected light from a living body (palm) as a subject. Since hemoglobin in red blood cells flowing in the veins has lost oxygen, this hemoglobin (reduced hemoglobin) has a property of absorbing near infrared rays in the vicinity of 700 nm (nanometers) to 1000 nm. Therefore, when near infrared rays are applied to the palm, only a portion where the vein is present is less reflected, and the position of the vein can be recognized by the intensity of reflected light of the near infrared ray. The photographed image by the photographing unit 32 becomes an achromatic image although it is easy to extract characteristic information by using a specific light source.

The guide unit 40 changes the posture of the palm and transmits control data that can identify the changed posture to the processing device 11. The guide unit 40 can transmit control data to the processing device 11 via the sensing unit 30.

The guide unit 40 includes a communication unit 41, a control unit 42, motors (for example, stepping motors) 44, 45, 46,

position sensors

47, 49, 51, and

load sensors

48, 50, 52. The control unit 42 comprehensively controls each processing unit. The communication unit 41 communicates with the sensing unit 30.

The motor 44 drives the finger separation rib 22. The motor 45 drives the first finger / fifth finger support unit 25. The motor 46 drives the wrist support portion 27. The position sensor 47 detects the position of the finger separation rib 22. The position sensor 47 may detect the position of the finger separation rib 22 based on the driving amount of the motor 44. The position sensor 49 detects the position of the first finger / fifth finger support unit 25. The position sensor 49 may detect the position detection of the first finger / fifth finger support portion 25 by the driving amount of the motor 45. The position sensor 51 detects the position of the wrist support portion 27. The position sensor 51 may detect the position of the wrist support portion 27 based on the driving amount of the motor 46. The load sensor 48 detects the load of the motor 44. The load sensor 50 detects the load of the motor 45. The load sensor 52 detects the load of the motor 46.

A known drive mechanism using a cam or the like can be used as the drive mechanism in which the

motors

44, 45, and 46 drive the drive unit.
The controller 42 drives the motor 44 according to the position of the finger separation rib 22 detected by the position sensor 47. Moreover, the control part 42 stops the drive of the motor 44 according to the load detection of the load sensor 48 for a user's safety. The control unit 42 drives the motor 45 in accordance with the position of the first finger / fifth finger support unit 25 detected by the position sensor 49. Moreover, the control part 42 stops the drive of the motor 45 according to the load detection of the load sensor 50 for a user's safety. The control unit 42 drives the motor 46 according to the position of the wrist support unit 27 detected by the position sensor 51. Moreover, the control part 42 stops the drive of the motor 46 according to the load detection of the load sensor 52 for a user's safety.

Next, a hardware configuration example of the registration apparatus 10 will be described with reference to FIG. FIG. 8 is a diagram illustrating a hardware configuration example of the registration apparatus according to the second embodiment.
The registration device 10 includes a processing device 11, a display 12, a keyboard 13, a mouse 14, a sensor unit 20, and an IC card reader / writer 15.

The entire processing apparatus 11 is controlled by a CPU (Central Processing Unit) 101. A RAM (Random Access Memory) 102, an HDD (Hard Disk Drive) 103, a communication interface 104, a graphic processing device 105, and an input / output interface 106 are connected to the CPU 101 via a bus 107.

The RAM 102 temporarily stores at least part of an OS (Operating System) program and application programs to be executed by the CPU 101. The RAM 102 stores various data necessary for processing by the CPU 101. The HDD 103 stores an OS and application programs.

A display 12 is connected to the graphic processing device 105. The graphic processing device 105 displays an image on the screen of the display 12 in accordance with a command from the CPU 101.

The input / output interface 106 is connected to the keyboard 13, the mouse 14, the sensor unit 20, and the IC card reader / writer 15. The input / output interface 106 can be connected to a portable recording medium interface that can write information to the portable recording medium 110 and read information from the portable recording medium 110. The input / output interface 106 transmits signals sent from the keyboard 13, mouse 14, sensor unit 20, IC card reader / writer 15, and portable recording medium interface to the CPU 101 via the bus 107.

The communication interface 104 is connected to the network 8. The communication interface 104 transmits / receives data to / from other computers (for example, the authentication server 4).

With the hardware configuration as described above, the processing functions of the present embodiment can be realized. Note that the authentication server 4 and the automatic depositing apparatus 6 can also be realized with the same hardware configuration.
The processing device 11 can also be configured to include modules each composed of an FPGA (Field Programmable Gate Array), a DSP (Digital Signal Processor), or the like, or can be configured without the CPU 101. In this case, each of the processing devices 11 includes a nonvolatile memory (for example, an EEPROM (Electrically Erasable and Programmable Read Only Memory), a flash memory, a flash memory type memory card, etc.), and stores module firmware. The nonvolatile memory can write firmware via the portable recording medium 110 or the communication interface 104. In this way, the processing device 11 can also update the firmware by rewriting the firmware stored in the nonvolatile memory.

Next, template registration processing executed by the registration apparatus 10 will be described with reference to FIG. FIG. 9 is a flowchart of template registration processing according to the second embodiment. The template registration process is executed based on, for example, a template registration execution operation by a staff member.

[Step S11] The processing device 11 notifies the start of template registration. The notification of the start of template registration can be performed using display on the display 12 or sound from a speaker (not shown). For example, the processing apparatus 11 displays “Template registration starts” on the display 12.

[Step S12] The processing device 11 executes a wrist support portion position adjustment process for adjusting the wrist support portion position so that the boundary between the palm and the finger is within the imaging range of the sensor 26. Details of the wrist support portion position adjustment processing will be described later with reference to FIG.

[Step S13] The processing device 11 executes a posture adjustment range determination process for determining an adjustment range of the finger interval and the first finger / fifth finger droop amount. Details of the posture adjustment range determination processing will be described later with reference to FIG.

[Step S14] The processing device 11 executes a finger interval changing process for changing the finger interval. Details of the finger interval changing process will be described later with reference to FIGS. 12 and 15.
[Step S15] The processing device 11 executes a first finger / fifth finger droop amount changing process for changing the first finger / fifth finger droop amount. Details of the first finger / fifth finger droop amount changing process will be described later with reference to FIGS. 13 and 16.

[Step S16] The processing device 11 executes a biometric information extraction process for collation for extracting biometric information for collation. Details of the biometric information extraction process for verification will be described later with reference to FIGS. 14, 17, and 18.

[Step S <b> 17] The processing device 11 generates verification information including the extracted verification biometric information and verification posture information corresponding to the extracted verification biometric information.
[Step S18] The processing apparatus 11 performs template registration of the generated verification information. The template registration of the verification information is performed by recording in at least one of the storage unit of the processing device 11, the storage unit of the authentication server 4, or the storage unit of the user's IC card 16, and the template registration process is performed. finish.

Next, wrist support portion position adjustment processing executed by the registration device 10 will be described with reference to FIG. FIG. 10 is a flowchart of wrist support position adjustment processing according to the second embodiment. The wrist support part position adjustment process is executed in the template registration process.

[Step S21] The processing device 11 acquires the initial value of the wrist support portion position. The initial value of the wrist support portion position is set to a value that covers the target user at a predetermined rate. For example, the initial value of the wrist support portion position is set to 110 mm (millimeters), which is the distance between the finger-palm boundary and the wrist. The initial value of the wrist support part position of 110 mm is supposed to cover 95% of Japanese adults.

Note that different initial values may be acquired for each condition such as gender and age based on information such as gender and age input in advance. Further, it is also possible to determine the size of the hand based on an image taken by detecting a state where the hand is put on the sensor 26 and obtain an initial value.

[Step S22] The processing device 11 notifies that the posture of the palm is to be adjusted. The notification that the posture adjustment of the palm is to be performed can be performed using display on the display 12 or sound from a speaker (not shown). For example, the processing device 11 displays “Please put your palm” on the display 12.

[Step S23] The processing device 11 instructs the sensor unit 20 to set the position of the wrist support portion 27 to the initial value of the wrist support portion position of 110 mm. The sensor unit 20 sets the position of the wrist support portion 27 to an initial value of 110 mm of the wrist support portion position based on an instruction from the processing device 11.

[Step S24] The processing device 11 instructs the sensor unit 20 to acquire biometric information (a palm image). The sensor unit 20 responds to the processing device 11 with the acquired biological information and posture information at the time of acquiring the biological information.

[Step S25] The processing device 11 determines whether or not the wrist support portion position is the normal position from the photographed image of the palm. The processing device 11 determines that the wrist is positioned rearward and is not in the normal position when the wrist is missing in the captured image of the palm. Further, the processing device 11 determines that the wrist is positioned forward and not in the normal position when an arm is included in the palm image. Further, the processing device 11 determines that the wrist support portion position is in the normal position if the photographed image of the palm does not lack the wrist and does not include the arm.

When the processing device 11 determines that the wrist is positioned rearward and is not in the normal position, the processing unit 11 proceeds to step S23, and the sensor unit 20 so that the position of the wrist support portion 27 advances by a predetermined amount (for example, 5 mm). To instruct. When the processing device 11 determines that the wrist is positioned forward and is not in the normal position, the processing unit 11 proceeds to step S23, and the sensor unit 20 so that the position of the wrist support portion 27 is retracted by a predetermined amount (for example, 5 mm). To instruct. When it is determined that the wrist support portion position is in the normal position, the processing device 11 ends the wrist support portion position adjustment process.

Next, the posture adjustment range determination process executed by the registration device 10 will be described with reference to FIG. FIG. 11 is a flowchart of posture adjustment range determination processing according to the second embodiment. The posture adjustment range determination process is executed in the template registration process.

[Step S31] The processing device 11 determines the form of the living body. For example, the form of the living body is determined by classification based on predetermined criteria such as the length and width of the palm, such as the size of the palm being large, small, standard, or wide, narrow. The determination of the form of the living body can be performed using the biological information acquired in step S24 of the wrist support portion position adjustment process.

[Step S32] The processing device 11 determines the adjustment range of the finger interval, that is, the adjustment range of the distance between the two finger separation ribs 22, based on the determined form of the living body. Further, the processing device 11 determines the adjustment range of the first finger / fifth finger sag amount, that is, the height adjustment range of the first finger / fifth finger support unit 25 based on the determined form of the living body.

For example, the processing device 11 determines the adjustment range of the finger interval from 15 mm to 35 mm when the palm size is standard, and determines the adjustment range of the finger interval from 15 mm to 25 mm when the palm size is small. When the size is large, the adjustment range of the finger interval is determined from 25 mm to 35 mm. Further, the processing device 11 determines the adjustment range of the first finger / fifth finger droop amount from 0 mm to 10 mm when the palm size is standard, and the first finger / fifth finger droop when the palm size is small. The adjustment range of the amount is determined from 0 mm to 5 mm, and when the palm size is large, the adjustment range of the first finger / fifth finger sag amount is determined from 5 mm to 10 mm.

[Step S33] The processing device 11 determines an initial adjustment value of the finger interval, that is, an initial adjustment value of the distance between the two finger separation ribs 22, based on the determined form of the living body. Further, the processing device 11 determines an initial adjustment value of the first finger / fifth finger sag amount, that is, an initial adjustment value of the height of the first finger / fifth finger support unit 25, based on the determined form of the living body. To do.

For example, the processing device 11 determines the finger spacing adjustment initial value as 25 mm when the palm size is standard, and determines the finger spacing adjustment initial value as 20 mm when the palm size is small. If larger, the initial adjustment value of the finger interval is determined to be 30 mm. Further, the processing apparatus 11 determines the adjustment initial value of the first finger / fifth finger dripping amount to 5 mm when the palm size is standard, and the first finger / fifth finger dripping amount when the palm size is small. Is adjusted to 3 mm, and when the palm size is large, the adjustment initial value of the first finger / fifth finger drooping amount is determined to be 7 mm.

The processing device 11 individually determines the initial adjustment value of the finger interval and the initial adjustment value of the first finger / fifth finger sag amount based on the actual measurement value of the biological information acquired in step S24. Also good.

[Step S34] The processing device 11 determines the adjustment unit of the finger interval, that is, the adjustment unit of the distance between the two finger separation ribs 22, based on the determined form of the living body. Moreover, the processing apparatus 11 determines the adjustment unit of the height of the 1st finger / 5th finger support part 25, ie, the adjustment unit of the height of the 1st finger / 5th finger support part 25, based on the determined form of the living body.

For example, the processing apparatus 11 determines the finger spacing adjustment unit as 1 mm when the palm size is standard, and determines the finger spacing adjustment unit as 0.5 mm when the palm size is small. If larger, the unit for adjusting the finger interval is determined to be 1.5 mm. Further, the processing device 11 determines the adjustment unit of the first finger / fifth finger sag amount as 1 mm when the palm size is standard and when the palm size is large, and the first finger when the palm size is small. / The adjustment unit of the fifth drooping amount is determined to be 0.5 mm.

The adjustment unit may be a motor drive amount (for example, the number of steps, a rotation amount, etc.) or a gear rotation amount.
After determining the adjustment unit, the processing device 11 ends the posture adjustment range determination process.

Thus, since the registration apparatus 10 determines an adjustment range, an adjustment initial value, and an adjustment unit based on the form of a living body, it is possible to efficiently acquire biological information.
Next, the finger interval changing process executed by the registration apparatus 10 will be described with reference to FIG. FIG. 12 is a flowchart of finger interval change processing according to the second embodiment. The finger interval change process is executed in the template registration process.

[Step S41] The processing device 11 sets the adjustment initial value determined in step S33 of the posture adjustment range determination process, and sets the finger interval and the first finger / fifth finger droop amount to the adjustment initial values. 20 The sensor unit 20 sets the finger interval as an initial adjustment value based on an instruction from the processing device 11.

[Step S42] The processing apparatus 11 instructs the sensor unit 20 to acquire biometric information (palm vein image). The sensor unit 20 responds to the processing device 11 with the acquired biological information and posture information at the time of acquiring the biological information.

[Step S43] The processing device 11 adds the adjustment unit determined in step S34 of the posture adjustment range determination process and updates the adjustment value. That is, the processing device 11 increases the finger interval by one adjustment unit.

[Step S44] The processing device 11 determines whether or not there is an adjustment value within the adjustment range determined in step S32 of the posture adjustment range determination process. When the adjustment value is within the adjustment range, the processing device 11 instructs the sensor unit 20 to update the finger interval, and proceeds to step S42. The processing device 11 proceeds to step S45 when the adjustment value exceeds the adjustment range.

[Step S45] The processing device 11 sets the initial adjustment value determined in step S33 of the posture adjustment range determination process, and instructs the sensor unit 20 to set the finger interval to the initial adjustment value. The sensor unit 20 sets the finger interval as an initial adjustment value based on an instruction from the processing device 11.

[Step S46] The processing device 11 instructs the sensor unit 20 to acquire biometric information (palm vein image). The sensor unit 20 responds to the processing device 11 with the acquired biological information and posture information at the time of acquiring the biological information.

[Step S47] The processing device 11 updates the adjustment value by subtracting the adjustment unit determined in step S34 of the posture adjustment range determination process. That is, the processing device 11 reduces the finger interval by one adjustment unit.

[Step S48] The processing device 11 determines whether or not there is an adjustment value within the adjustment range determined in step S32 of the posture adjustment range determination process. When the adjustment value is within the adjustment range, the processing device 11 instructs the sensor unit 20 to update the finger interval, and proceeds to step S46. The processing device 11 ends the finger interval changing process when the adjustment value exceeds the adjustment range.

Note that the processing device 11 expands from the adjustment initial value to the maximum adjustment range for each adjustment unit, then returns to the adjustment initial value and then reduces to the minimum adjustment range for each adjustment unit. You may make it return to an initial value, whenever it expands and contracts.

Next, the first finger / fifth finger droop amount changing process executed by the registration apparatus 10 will be described with reference to FIG. FIG. 13 is a flowchart of the first finger / fifth finger droop amount changing process of the second embodiment. The first finger / fifth finger droop amount changing process is executed in the template registration process.

[Step S51] The processing device 11 sets the adjustment initial value determined in step S33 of the posture adjustment range determination process, and sets the finger interval and the first finger / fifth finger droop amount to the adjustment initial values. 20 The sensor unit 20 sets the first finger / fifth finger sag amount as an initial adjustment value based on an instruction from the processing device 11.

[Step S52] The processing apparatus 11 instructs the sensor unit 20 to acquire biometric information (palm vein image). The sensor unit 20 responds to the processing device 11 with the acquired biological information and posture information at the time of acquiring the biological information.

[Step S53] The processing device 11 updates the adjustment value by adding the adjustment unit determined in step S34 of the posture adjustment range determination processing. That is, the processing device 11 enlarges the first finger / fifth finger sag amount by one adjustment unit.

[Step S54] The processing device 11 determines whether or not there is an adjustment value within the adjustment range determined in step S32 of the posture adjustment range determination process. When the adjustment value is within the adjustment range, the processing device 11 instructs the sensor unit 20 to update the first finger / fifth finger drooping amount, and proceeds to step S52. The processing device 11 proceeds to step S55 when the adjustment value exceeds the adjustment range.

[Step S55] The processing apparatus 11 sets the initial adjustment value determined in step S33 of the posture adjustment range determination process, and instructs the sensor unit 20 to set the first finger / fifth finger droop amount to the adjustment initial value. To do. The sensor unit 20 sets the first finger / fifth finger sag amount as an initial adjustment value based on an instruction from the processing device 11.

[Step S56] The processing device 11 instructs the sensor unit 20 to acquire biometric information (palm vein image). The sensor unit 20 responds to the processing device 11 with the acquired biological information and posture information at the time of acquiring the biological information.

[Step S57] The processing device 11 updates the adjustment value by subtracting the adjustment unit determined in step S34 of the posture adjustment range determination process. That is, the processing device 11 reduces the first finger / fifth finger sag amount by one adjustment unit.

[Step S58] The processing device 11 determines whether or not there is an adjustment value within the adjustment range determined in step S32 of the posture adjustment range determination process. When the adjustment value is within the adjustment range, the processing device 11 instructs the sensor unit 20 to update the first finger / fifth finger sag amount, and proceeds to step S56. The processing device 11 ends the first finger / fifth finger droop amount changing process when the adjustment value exceeds the adjustment range.

Note that the processing device 11 expands from the initial adjustment value to the maximum adjustment range for each adjustment unit, then returns to the initial adjustment value and then reduces to the minimum adjustment range for each adjustment unit. You may make it return to an initial value, whenever it expands and contracts.

Next, the biometric information extraction process for verification executed by the registration apparatus 10 will be described with reference to FIGS. FIG. 14 is a flowchart of the biometric information extraction process for collation according to the second embodiment. FIG. 15 is a diagram illustrating an example of a finger interval biometric information table according to the second embodiment. FIG. 16 is a diagram illustrating an example of a first finger / fifth sagging amount biological information table according to the second embodiment. FIG. 17 is a diagram illustrating an example of an order table according to the second embodiment. FIG. 18 is a diagram illustrating an example of the combined biometric information table according to the second embodiment. The biometric information extraction process for verification is executed in the template registration process.

[Step S61] The processing device 11 calculates the feature amount of the biological information acquired in step S42 and step S46 of the finger interval change process. Thereby, the processing apparatus 11 obtains the finger interval biometric information table 200 together with the posture information (initial value, adjustment value) acquired in step S42 and step S46 of the finger interval change process. The finger interval biometric information table 200 records initial values, adjustment values, and feature quantities at the time of finger interval adjustment in association with each other for a plurality of pieces of biometric information (d000, d001,...) Acquired with different finger intervals.

Further, the processing device 11 calculates the feature amount of the biological information acquired in step S52 and step S56 of the first finger / fifth drooping amount changing process. Thereby, the processing apparatus 11 combines the posture information (initial value, adjustment value) acquired in step S52 and step S56 of the first finger / fifth finger droop amount change process, and the first finger / fifth finger droop amount. A biological information table 210 is obtained. The first finger / fifth finger sag amount biological information table 210 is a first finger / fifth finger sag for a plurality of pieces of biometric information (d100, d101,...) Acquired with different first finger / fifth finger sag amounts. The initial value, adjustment value, and feature amount at the time of adjusting the amount are recorded in association with each other.

Note that the features of the palm vein image (vein pattern) are evaluated comprehensively, for example, by evaluating each item of the vein branch point and the amount of veins per unit area. The The evaluation of the feature amount included in the biological information is not limited to the above example, and any evaluation method can be adopted.

[Step S62] The processing device 11 refers to the feature quantity in the finger interval biometric information table 200 and extracts the top three posture information (initial value and adjustment value) having the largest feature quantity. The extracted posture information (initial value, adjustment value) is recorded in the order table 220.

For example, when v003, v004, and v002 are the feature amounts recorded in the finger interval biometric information table 200 in the descending order of the feature amounts, the processing device 11 has posture information (initial value, adjustment value) corresponding to each feature amount. Are recorded in the order table 220.

[Step S63] The processing device 11 refers to the feature amount in the first finger / fifth finger droop amount biological information table 210, and extracts the top three posture information (initial value and adjustment value) having the largest feature amount. The extracted posture information (initial value, adjustment value) is recorded in the order table 220.

For example, when v103, v102, and v101 are the feature amounts recorded in the first finger / fifth sagging amount biometric information table 210 in the descending order of feature amounts, the processing device 11 determines the posture information corresponding to each feature amount. (Initial value, adjustment value) is recorded in the order table 220. In this way, the order table 220 includes the top three posture information (initial value, adjustment value) having the most feature amount among the plurality of pieces of biological information acquired with different finger intervals, and the first finger / fifth finger droop amount. And the top three posture information (initial value, adjustment value) having a large amount of features among a plurality of pieces of biometric information acquired with different values.

[Step S64] The processing device 11 generates a combination pattern of the extracted posture information. For example, when three pieces of posture information are extracted from the finger interval biological information table 200 and three pieces of posture information are extracted from the first finger / fifth sagging amount biological information table 210, the processing device 11 has nine (= 3). A combination pattern of (3) posture information is generated.

The posture information combination pattern generated in this way is recorded in the combination biometric information table 230.
[Step S65] The processing apparatus 11 acquires one of the combination patterns of posture information recorded in the combination biometric information table 230. The processing device 11 instructs the sensor unit 20 to update the finger interval and the first finger / fifth finger sag amount with the combination pattern of the acquired posture information. The sensor unit 20 updates the finger interval and the first finger / fifth finger droop amount based on an instruction from the processing device 11.

In addition, when the sensor unit 20 updates the finger interval and the first finger / fifth finger droop amount, the sensor unit 20 may be updated after returning to the initial value once. Thereby, even if the adjustment value is the same, the sensor unit 20 differs depending on whether the adjustment direction is “+” and the adjustment value is reached, or whether the adjustment direction is “−” and the adjustment value is reached. Eliminate effects on hand posture changes. For example, even if the adjustment value is the same as 26 mm, the posture of the hand may be different depending on whether the adjustment value is 26 mm from 25 mm to +1 mm or the adjustment value is reached from 27 mm to −1 mm. By returning to the value, the condition of posture change can be made uniform.

[Step S66] The processing device 11 instructs the sensor unit 20 to acquire biometric information (palm vein image). The sensor unit 20 responds to the processing device 11 with the acquired biological information and posture information at the time of acquiring the biological information.

[Step S67] The processing apparatus 11 determines whether or not biometric information has been acquired for all the combination patterns of posture information recorded in the combined biometric information table 230. The processing apparatus 11 proceeds to step S68 when the biological information is acquired for all the posture information combination patterns, and proceeds to step S65 when the biological information is not acquired.

[Step S68] The processing device 11 evaluates the feature values (v200, v201,...) For the biometric information (d200, d201,...) Acquired for all the posture information combination patterns recorded in the combined biometric information table 230. And recorded in the combined biometric information table 230. In this way, the combined biometric information table 230 includes three pieces of posture information (initial values and adjustment values) having different finger intervals and three pieces of posture information (initial values and adjustment values) having different first / fifth finger droop amounts. ) And the biometric information and the feature quantity are recorded in association with each other.

The processing device 11 refers to the combined biometric information table 230 and extracts the biometric information with the most characteristic amount as biometric information for verification. The processing device 11 ends the verification biometric information extraction process using the extracted biometric information for verification and the posture information corresponding to the extracted biometric information for verification as the verification posture information. The posture information may include posture information of the wrist support portion position in addition to the posture information of the finger interval and the posture information of the first finger / fifth finger sag amount.

Note that the processing device 11 extracts the biometric information for verification after evaluating the feature amount of the biometric information acquired a plurality of times (for example, three times) for the extraction candidates with the top three as extraction candidates. It may be.

In this way, the processing device 11 can acquire biometric information suitable for use in collation in consideration of individual differences (shape, size, flexibility, etc. of the biometric acquisition site).
Further, the processing device 11 generates a ranking table 220 by extracting a posture having a large amount of feature for each of the plurality of posture adjustment elements (finger interval and first finger / fifth finger drooping amount), A posture having a large feature amount is extracted from the posture combinations in 220. Accordingly, the processing device 11 can reduce the processing time required for generating the verification information even when there are a plurality of posture adjustment elements.

In addition, although the 1st finger / 5th finger support part 25 adjusts the height which supports a 1st finger and a 5th finger similarly, a 1st finger support part and a 5th finger support part And a motor, a position sensor, and a load sensor, respectively, and may be independently adjustable.

Next, an authentication process executed by the automatic depositing apparatus 6 as an authentication apparatus will be described with reference to FIG. FIG. 19 is a flowchart of authentication processing according to the second embodiment. For example, the authentication process is executed before provision of a service that requires personal authentication when the IC card reader / writer 17 of the automatic depositing apparatus 6 receives the IC card 16.

[Step S71] The automatic depositing apparatus 6 acquires a user ID (for example, an account number) from the IC card 16.
[Step S <b> 72] The automatic depositing apparatus 6 acquires posture information (posture information on the interval between fingers, posture information on the first finger / fifth amount of drooping) from the IC card 16.

[Step S73] The automatic depositing apparatus 6 instructs the sensor unit 20 to support the palm in a posture corresponding to the obtained posture information. At this time, the automatic depositing apparatus 6 may first instruct the user to place the palm after placing the sensor unit 20 in a posture that supports the palm with the initial value of each posture information. Then, after the user places the palm, the automatic teller machine 6 updates the posture of the sensor unit 20 that supports the palm with the adjustment value of each posture information. Thereby, the automatic depositing apparatus 6 can improve the reproducibility of the posture when the registration apparatus 10 registers biometric information.

[Step S74] The automatic depositing apparatus 6 acquires the biological information by reproducing the posture of the palm when the biological information is registered.
[Step S75] The automatic depositing apparatus 6 collates the biometric information for verification recorded in the IC card 16 with the biometric information acquired from the sensor unit 20.

[Step S76] The automatic teller machine 6 proceeds to Step S77 when the verification of the biometric information acquired from the sensor unit 20 is successful, and proceeds to Step S78 when the verification fails.

[Step S77] The automatic depositing apparatus 6 sets the authentication result to “OK” and ends the authentication process.
[Step S78] The automatic depositing apparatus 6 sets the authentication result to “NG” and ends the authentication process.

In this way, the automatic depositing apparatus 6 can guide the palm, which is the user's biometric information acquisition site, to the same posture as when the verification information is registered, and can be expected to improve authentication accuracy.
The above processing functions can be realized by a computer. In that case, a program describing the processing contents of the functions that each device should have is provided. By executing the program on a computer, the above processing functions are realized on the computer. The program describing the processing contents can be recorded on a computer-readable recording medium (including a portable recording medium). Examples of the computer-readable recording medium include a magnetic recording device, an optical disk, a magneto-optical recording medium, and a semiconductor memory. Examples of the magnetic recording device include a hard disk device (HDD), a flexible disk (FD), and a magnetic tape. Optical disks include DVD (Digital Versatile Disc), DVD-RAM, CD-ROM, CD-R (Recordable) / RW (ReWritable), and the like. Magneto-optical recording media include MO (Magneto-Optical disk).

When distributing the program, for example, a portable recording medium such as a DVD or CD-ROM in which the program is recorded is sold. It is also possible to store the program in a storage device of a server computer and transfer the program from the server computer to another computer via a network.

The computer that executes the program stores, for example, the program recorded on the portable recording medium or the program transferred from the server computer in its own storage device. Then, the computer reads the program from its own storage device and executes processing according to the program. The computer can also read the program directly from the portable recording medium and execute processing according to the program. Further, each time the program is transferred from the server computer, the computer can sequentially execute processing according to the received program.

Note that various modifications can be made to the above-described embodiment without departing from the gist of the embodiment.
The above merely illustrates the principle of the present invention. In addition, many modifications and changes can be made by those skilled in the art, and the present invention is not limited to the precise configuration and application shown and described above, and all corresponding modifications and equivalents may be And the equivalents thereof are considered to be within the scope of the invention.

DESCRIPTION OF SYMBOLS 1 Information processing apparatus 1a Holding | maintenance part 1b Posture change part 1c Information acquisition part 1d Evaluation part 1e Generation | occurrence | production part 2 Living body

Claims

An information acquisition unit for acquiring biological information from a living body;
A holding unit for holding the living body corresponding to the information acquisition unit;
A posture changing unit that changes the posture of the living body held by the holding unit;
An evaluation unit that evaluates feature amounts of biological information acquired for each of a plurality of different postures by the information acquisition unit;
Generation for generating verification information used for verification of the living body from the biological information selected based on the evaluation among the plurality of acquired biological information and posture information capable of specifying the posture corresponding to the selected biological information And
An information processing apparatus comprising:
The information processing apparatus according to claim 1, wherein the attitude changing unit changes the attitude of a predetermined attitude adjustment range in a predetermined adjustment unit.
The posture changing unit sets an initial value within the posture adjustment range, changes the posture in the adjustment unit in either the positive direction or the negative direction, and temporarily returns to the initial value when the posture is out of the posture adjustment range. 3. The information processing apparatus according to claim 2, wherein the posture is changed in the adjustment unit in the other of the positive direction and the negative direction after returning to step (a).
3. The information processing apparatus according to claim 2, wherein the posture changing unit sets an initial value within the posture adjustment range and once returns to the initial value every time the posture is changed.
The posture changing unit
A first posture changing unit capable of changing the posture of the first part with respect to the living body;
A second posture changing unit capable of changing the posture of the second part different from the first part with respect to the living body,
The generation unit is configured to evaluate a plurality of pieces of biological information acquired by fixing the posture of the second part and changing the posture of the first part before selecting the biological information included in the verification information. One or more first parts selected based on the posture of the first part and one or more second parts selected based on the evaluation of a plurality of pieces of biological information acquired by changing the position of the second part while fixing the posture of the first part Generating a combination pattern with the posture of the part, and selecting the biometric information included in the verification information for the biometric information acquired with the posture that becomes the combination pattern;
The information processing apparatus according to any one of claims 1 to 4, wherein the information processing apparatus is characterized in that:
The information processing according to any one of claims 1 to 4, further comprising a registration unit that registers the verification information in a verification information recording medium for each verification target person. apparatus.
An information processing method executed by a computer,
Change the posture of the living body held by the holding unit,
Obtaining biological information from the living body for each of a plurality of different postures;
Evaluate the feature quantity of the acquired biological information,
Generating collation information used for collation of the living body from the biological information selected based on the evaluation among the plurality of obtained biological information and posture information capable of specifying a posture corresponding to the selected biological information;
An information processing method characterized by the above.
On the computer,
Change the posture of the living body held by the holding unit,
Obtaining biological information from the living body for each of a plurality of different postures;
Evaluate the feature quantity of the acquired biological information,
Generating collation information used for collation of the living body from the biological information selected based on the evaluation among the plurality of obtained biological information and posture information capable of specifying a posture corresponding to the selected biological information;
An information processing program for executing a process.