JP5765071B2 - Biological information processing apparatus, biological information processing method, and biological information processing program - Google Patents

Description

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

  In biometric authentication technology, the possibility of “spoofing” that establishes authentication by using a counterfeit that illegally duplicates biometric features has been pointed out. In Patent Documents 1 and 2, it is determined whether or not the object is a living body by measuring the electrical characteristics of the skin. In Patent Documents 3 to 5, it is determined whether or not the object is a living body by optically detecting the skin.

  In Patent Documents 6 and 7, it is determined whether or not the object is a living body using a pulse wave. In patent document 8, it is discriminate | determined whether a target object is a biological body based on the response with respect to an external stimulus. Patent Document 9 discloses a technique in which a finger is heated or cooled after authentication, and living body determination is performed by looking at the expansion or contraction of an arteriovenous anastomosis. Patent Document 10 discloses a technique for performing living body determination using the change in blood vessel thickness due to a change in blood pressure.

JP 2004-215807 A JP 2008-099783 A Japanese Patent Laid-Open No. 02-079181 JP-T-2002-513188 JP 2007-122237 A JP 2003-331268 A JP 2008-148862 A Japanese Patent Laid-Open No. 2003-030659 JP 2007-037652 A International Publication No. 10/070745 Pamphlet

  However, in the techniques of Patent Documents 1 and 2, imitation using a counterfeit made of a material with close conductivity is pointed out. In the techniques of Patent Documents 3 to 5, imitation of color and structure is pointed out. In the techniques of Patent Documents 6 and 7, since a clear pulsation does not appear in the vein, it is difficult to apply to vein authentication. The technique of Patent Document 8 is difficult to apply to vein authentication. In the technique of Patent Document 9, it may take a long time to control the temperature of the living body and obtain a sufficient effect. In the technique of Patent Document 10, the determination may be uncertain.

  The present invention has been made in view of the above problems, and in the case of using a vein as biological information, a biological information processing apparatus, a biological information processing method, and a biological information processing method capable of accurately determining whether or not a subject is a living body, It is another object of the present invention to provide a biological information processing program.

In order to solve the above problems, the biological information processing apparatus disclosed in the specification includes an acquisition unit that acquires vein information from a subject by photographing, and a detection unit that detects external pressures in a plurality of stages in a state where the external pressure is applied to the subject. In addition, for each vein information divided into a plurality of blocks, a collation unit that collates with registered vein information registered in the database, and the identity determination is performed according to the collation result for each block at each stage of the external pressure. Determination means.

In order to solve the above-described problem, in the biological information processing method disclosed in the specification, the acquisition unit acquires vein information from a subject by photographing, and the detection unit has a plurality of steps of external pressure in a state where the external pressure is applied to the subject. detects, verification unit, for each of the vein information divided into a plurality of blocks, against the registered vein information registered in the database, the determination unit, the verification result of each block in each stage of the external pressure Accordingly, the identity determination is performed .

In order to solve the above-described problem, a biological information processing program disclosed in the specification includes, in a computer, an acquisition step of acquiring vein information from a subject photographed by a photographing device , and a plurality of stages in a state where an external pressure is applied to the subject . A detection step for detecting external pressure according to the detection result of the detection device, a collation step for collating with registered vein information registered in a database for each vein information divided into a plurality of blocks, And a determination step of performing identity determination according to the collation result for each block .

  According to the biological information processing apparatus, the biological information processing method, and the biological information processing program disclosed in the specification, it is possible to accurately determine whether a subject is a living body when a vein is used as biological information.

(A) is an example of a vein image, (b) is a figure showing the state which presses a palm against a board, (c) is a figure for demonstrating transition of a vein pattern. (A) is a block diagram for demonstrating the hardware constitutions of the biological information processing apparatus which concerns on Example 1, (b) and (c) are the schematic diagrams of a biometric sensor. It is a block diagram of each function implement | achieved by execution of a biometric information processing program. (A) And (b) is a table for demonstrating the registration vein pattern registered into the registration database. (A) is a figure for demonstrating the relationship between the output value of a contact sensor, and a similarity, (b) is an example in the case of using a pressure sensor instead of a contact sensor, (c) is a contact sensor. It is an example in the case of using a distance sensor instead. It is an example of the flowchart showing a biological body determination. (A)-(c) is a figure for demonstrating the other example of a biometric determination. (A) And (b) is a figure for demonstrating the other example of a biometric determination.

  Prior to the description of the embodiment, vein authentication will be described. Vein authentication is an authentication method in which collation is performed using a vein image acquired using an imaging apparatus. Since hemoglobin in blood has the property of absorbing near infrared rays, a vein image can be obtained by irradiating a living body such as a palm with near infrared rays. FIG. 1A is an example of a vein image. Referring to FIG. 1A, a vein image includes a vein pattern as vein information.

  A blood vessel is a relatively soft tube filled with blood. Therefore, when a blood vessel is compressed, it becomes difficult for blood to pass through the blood vessel. As an example, referring to FIG. 1 (b), when a hand is pressed against a flat plate, the blood flow in the vein of the pressed part of the hand decreases (ischemia). Therefore, referring to FIG. 1C, the vein pattern observed before pressing the hand against the flat plate becomes thin or disappears when the hand is pressed against the flat plate. Thus, in a normal living body, the vein pattern changes due to the external pressure. Therefore, if the vein pattern does not change even when an external pressure is applied, it can be determined that the subject is a counterfeit. The external pressure is a pressure from outside the skin.

  Hereinafter, a biological information processing apparatus, a biological information processing method, and a biological information processing program for determining whether or not a subject is a living body according to vein information when an external pressure is applied to the subject will be described.

  FIG. 2A is a block diagram for explaining a hardware configuration of the biological information processing apparatus 100 according to the first embodiment. FIG. 2B and FIG. 2C are schematic views of the biosensor 105 described later. Referring to FIG. 2A, the biological information processing apparatus 100 includes a CPU 101, a RAM 102, a storage device 103, a display device 104, a biological sensor 105, a contact sensor 106, and the like. Each of these devices is connected by a bus or the like.

  A CPU (Central Processing Unit) 101 is a central processing unit. The CPU 101 includes one or more cores. A RAM (Random Access Memory) 102 is a volatile memory that temporarily stores programs executed by the CPU 101, data processed by the CPU 101, and the like.

  The storage device 103 is a nonvolatile storage device. As the storage device 103, for example, a ROM (Read Only Memory), a solid state drive (SSD) such as a flash memory, a hard disk driven by a hard disk drive, or the like can be used. The biological information processing program according to the present embodiment is stored in the storage device 103. The display device 104 is a liquid crystal display, an electroluminescence panel, or the like, and displays a message to a user to be authenticated, a result of biological information processing, and the like.

  The biometric sensor 105 is a sensor that acquires user vein information from a biometric image acquired by imaging. A subject to be imaged by the biological sensor 105 is not particularly limited, but is a palm, a finger, or the like. In the present embodiment, as an example, the biosensor 105 acquires a palm vein.

  With reference to FIG. 2B and FIG. 2C, the biosensor 105 includes an imaging unit 107, a light irradiation unit 108, a distance sensor 109, and a contact plate 110. The imaging unit 107 is not particularly limited as long as it can acquire a biological image, and is, for example, a CMOS (Complementary Metal Oxide Semiconductor) camera. The light irradiation unit 108 is illumination that emits at least near-infrared light, and a plurality of the light irradiation units 108 may be provided. The distance sensor 109 is a sensor that detects the distance between the photographing unit 107 and the subject, and a plurality of distance sensors 109 may be provided. If the detection results of the plurality of distance sensors 109 are used, the inclination of the subject can also be detected. The contact plate 110 is a plate arranged in the photographing direction of the photographing unit 107 and transmits at least near infrared light. Further, the contact plate 110 has a strength that does not break even when the user's palm is pressed. The photographing unit 107 photographs the user's palm through the contact plate 110. The contact sensor 106 is a touch sensor that detects whether the user's palm is in contact with the contact plate 110.

  The biological information processing program stored in the storage device 103 is expanded in the RAM 102 so as to be executable. The CPU 101 executes a biological information processing program expanded in the RAM 102. Thereby, each process by the biological information processing apparatus 100 is executed.

  FIG. 3 is a block diagram of each function realized by executing the biological information processing program. Referring to FIG. 3, by executing the biological information processing program, imaging control unit 10, palm detection unit 20, vein pattern extraction unit 30, vein pattern matching unit 40, authentication determination unit 50, pressing determination unit 60, and biological determination The unit 70 is realized. The registration database 80 is stored in the storage device 103.

  The imaging control unit 10 controls imaging by the imaging unit 107 of the biological sensor 105. When the imaging control unit 10 transmits an imaging instruction to the imaging unit 107, the imaging unit 107 captures a subject and acquires a biological image. The palm detection unit 20 detects a palm from the biological image acquired by the imaging unit 107. The palm detection unit 20 detects a palm using a luminance value or the like.

  The vein pattern extraction unit 30 extracts a vein pattern from the palm detected by the palm detection unit 20. In the registration database 80, the vein pattern extracted by the vein pattern extraction unit 30 is registered as a registered vein pattern in association with the user ID. FIGS. 4A and 4B are tables for explaining the registered vein patterns registered in the registration database 80. FIG. Referring to FIG. 4A, only a registered vein pattern of a specific user may be registered in the registration database 80. Alternatively, referring to FIG. 4B, registered vein patterns of a plurality (N people) of users may be registered in the registration database 80.

  The vein pattern matching unit 40 matches the registered vein pattern registered in the registration database 80 with the matching vein pattern extracted by the vein pattern extraction unit 30. The result of matching is calculated as the similarity between the registered vein pattern and the matching vein pattern. The authentication determination unit 50 determines authentication success and authentication failure based on the verification result of the vein pattern verification unit 40. In the example of FIG. 4A, if the similarity between the registered vein pattern and the verification vein pattern is equal to or greater than a threshold value, the authentication determination unit 50 determines that the authenticated user is the person (1: 1). Authentication). In the example of FIG. 4B, the authentication determining unit 50 determines that the user to be authenticated is a user associated with a registered vein pattern that has the highest degree of similarity to the verification vein pattern and is equal to or greater than a threshold value. (1: N authentication).

  The pressing determination unit 60 determines whether or not a predetermined pressure is applied to the contact plate 110 based on the detection result of the contact sensor 106. When the palm is pressed against the contact plate 110, the contact sensor 106 outputs a signal equal to or greater than a predetermined value. Thereby, the pressing determination unit 60 determines that the user's palm is pressed against the contact plate 110. In other words, the pressing determination unit 60 determines that a predetermined external pressure is applied to the palm of the user.

  The living body determination unit 70 is a processing unit that determines whether or not the subject is a living body (biological determination). When it is determined that a predetermined external pressure is applied to the palm of the user, the living body determination unit 70 is based on the vein pattern extracted by the vein pattern extraction unit 30, or the user's palm is a living body or is a fake. Determine if there is. As an example, the biometric determination unit 70 describes a change in the similarity between the registered vein pattern registered in the registration database 80 and the matching vein pattern extracted by the vein pattern extraction unit 30.

  FIG. 5A is a diagram for explaining the relationship between the output value of the contact sensor 106 and the similarity. The output value of the contact sensor 106 becomes high when the palm is in contact with the contact plate 110. In FIG. 5A, the horizontal axis indicates the elapsed time, and the vertical axis indicates the output value of the contact sensor 106 and the similarity. The example of FIG. 5A is an example in which the user moves the palm closer to the contact plate 110, presses it, and then moves it away from the contact plate 110.

  Referring to FIG. 5A, when the user brings the palm closer to the contact plate 110, the distance between the biosensor 105 (imaging unit 107) and the palm comes within an appropriate range. Accordingly, the degree of similarity increases. When the user presses the palm against the contact plate 110, the output value of the contact sensor 106 increases. In this case, since an external pressure is applied to the palm, blood flow is reduced. Thereby, the vein pattern extracted by the vein pattern extraction unit 30 is thinned. As a result, the similarity decreases. When the user removes the palm from the contact plate 110, the output value of the contact sensor 106 decreases. In this case, since the blood flow is restored, the vein pattern extracted by the vein pattern extraction unit 30 becomes darker. Thereby, the similarity increases again. If the palm is a counterfeit, even if the contact sensor 106 detects the contact of the palm, as shown by the dotted line in FIG.

  As described above, when the external pressure is applied to the palm and the similarity is less than the predetermined value, and the external pressure is not applied to the palm and the similarity exceeds the predetermined value, the palm is a living body. Can be determined. On the other hand, if the degree of similarity exceeds a predetermined value in a state where an external pressure is applied to the palm or a state where no external pressure is applied to the palm, it can be determined that the palm is a counterfeit.

  FIG. 5B is a diagram for explaining an example in which a pressure sensor is used instead of the contact sensor 106. Referring to FIG. 5B, when the user brings the palm closer to the contact plate 110, the distance between the biological sensor 105 (imaging unit 107) and the palm comes within an appropriate range. Accordingly, the degree of similarity increases. When the user presses the palm against the contact plate 110, the pressure detected by the pressure sensor increases. In this case, since the blood flow decreases, the vein pattern extracted by the vein pattern extraction unit 30 becomes thin. Thereby, the similarity decreases. When the user removes the palm from the contact plate 110, the pressure detected by the pressure sensor decreases. In this case, since the blood flow is restored, the vein pattern extracted by the vein pattern extraction unit 30 becomes darker. Thereby, the similarity increases again. If the palm is a counterfeit, as shown by the dotted line in FIG. 5 (b), even if the pressure detected by the pressure sensor is increased, the similarity is not decreased.

  FIG. 5C shows an example in which the detection result of the distance sensor 109 is used instead of the contact sensor 106. Referring to FIG. 5C, when the user brings the palm closer to the contact plate 110, the distance between the biosensor 105 (imaging unit 107) and the palm comes within an appropriate range. Accordingly, the degree of similarity increases. When the user presses the palm against the contact plate 110, the distance between the palm and the biological sensor 105 (imaging unit 107) becomes substantially equal to the distance between the contact plate 110 and the biological sensor 105 (imaging unit 107). In this case, since the blood flow decreases, the vein pattern extracted by the vein pattern extraction unit 30 becomes thin. Thereby, the similarity decreases. When the user removes the palm from the contact plate 110, the blood flow is restored, and the vein pattern extracted by the vein pattern extraction unit 30 becomes darker. Thereby, the similarity increases again. If the palm is a counterfeit, even if the distance sensor 109 detects the contact between the palm and the contact plate 110 as shown by the dotted line in FIG.

  As described above, it is possible to detect whether or not an external pressure is applied to the palm using a contact sensor, a pressure sensor, a distance sensor, or the like. Further, when external pressure is applied to the palm, it is possible to determine whether or not the palm is a counterfeit by using the similarity between the registered vein pattern and the verification vein pattern being lowered.

  FIG. 6 is an example of a flowchart showing the biometric determination process. With reference to FIG. 6, the imaging control unit 10 determines whether or not the contact sensor 106 has detected contact between the palm and the contact plate 110 (step S1). When it is determined “No” in step S1, the imaging control unit 10 instructs the imaging unit 107 to perform imaging (step S2). Thereby, the photographing unit 107 photographs the palm portion of the user to be authenticated. Next, the palm detection unit 20 detects the palm from the biological image acquired by the imaging unit 107 (step S3). The palm detection unit 20 determines whether or not a palm is detected (step S4). In step S4, it may be detected whether the palm has an appropriate inclination. This is because if the palm has an appropriate inclination with respect to the imaging unit 107, the authentication accuracy is improved. Note that the tilt of the palm can be detected using a plurality of distance sensors 109.

  If it is determined “No” in step S4, steps S2 to S4 are executed again. If it is determined as “Yes” in step S4, the vein pattern extraction unit 30 extracts a verification vein pattern from the palm (step S5). Next, the vein pattern matching unit 40 matches the registered vein pattern registered in the registration database 80 with the matching vein pattern extracted by the vein pattern extraction unit 30 (step S6).

  Next, the authentication determination unit 50 determines whether or not the user to be authenticated is the principal (step S7). Specifically, the authentication determination unit 50 determines whether or not the similarity obtained in step S6 is greater than or equal to a predetermined value. When it is determined “Yes” in step S7, the imaging control unit 10 determines whether or not the contact sensor 106 has detected contact between the palm and the contact plate 110 (step S8). If it is determined “No” in step S8, step S8 is executed again.

  If it is determined “Yes” in step S8, the imaging control unit 10 instructs the imaging unit 107 to perform imaging (step S9). Thereby, the photographing unit 107 photographs the palm portion of the user to be authenticated. Next, the palm detection unit 20 detects the palm from the biological image acquired by the imaging unit 107 (step S10). Next, the palm detection unit 20 determines whether or not a palm is detected (step S11). If it is determined “No” in step S11, steps S9 to S11 are executed again.

  If it is determined as “Yes” in step S11, the vein pattern extraction unit 30 extracts a verification vein pattern from the palm obtained in step S10 (step S12). The vein pattern matching unit 40 matches the registered vein pattern registered in the registration database 80 with the matching vein pattern extracted in step S12 (step S13). Next, the authentication determination unit 50 determines whether or not the authenticated user is the person himself (step S14). Specifically, the authentication determination unit 50 determines whether or not the similarity obtained in step S13 is a predetermined value or more. When it is determined as “No” in step S14, the living body determination unit 70 determines that the palm is a living body (step S15). When it determines with "Yes" at step S14, the biometric determination part 70 determines with the said palm being a forgery (step S16).

  If it is determined as “Yes” in step S <b> 1, the execution of the flowchart ends. When it is determined “No” in step S7, it is determined that the user to be authenticated is not the person himself (step S17). Prior to the execution of step S <b> 1, display device 104 may display a message to the user to be authenticated so that the palm is placed at a predetermined position away from contact plate 110. Further, the display device 104 may display a message to the user to be authenticated so as to press the palm against the contact plate 110 before executing step S8.

  In the flowchart of FIG. 6, the similarity before the contact between the palm and the contact plate 110 is compared with the similarity during the contact, but is not limited thereto. For example, the degree of similarity during contact may be compared with the degree of similarity after contact, or the degree of similarity before and after contact may be compared with the degree of similarity during contact. Further, the threshold value in step S7 and the threshold value in step S14 may be different or the same value.

  According to this embodiment, when a vein is used as biological information, it can be accurately determined whether or not the subject is a living body. Moreover, since it is difficult to create a forgery in which veins dynamically change according to external pressure, it is difficult to impersonate. Photographing for authentication and biometric determination is performed at the same time, and it is difficult to misrepresent by replacing a living body with a counterfeit. Therefore, highly reliable biological determination can be realized. In addition, since it can be performed in the same time as when only authentication is performed, the burden on the user is small. Moreover, it can be operated by the same operation method as a normal authentication procedure, and is easy to use.

  In Patent Document 10, a living body / counterfeit is determined by monitoring the thickness of a blood vessel due to a change in blood pressure when the hand is moved up and down. However, since there was no means for monitoring changes in blood pressure and the change was captured as a change in blood vessel thickness over time, the determination could be uncertain. For this reason, when the intended usage is not performed (for example, when there is a gap between raising the hand and holding it over the sensor), there is a sufficient thickness change even though the object is a living body. Since it was not recognized, it was judged to be counterfeit and was difficult to use. However, in this embodiment, the external pressure applied to the living body is detected by sensor output (distance, contact, pressure, etc.), and a change in vein information is determined based on this. In this way, since the reference amount can be used, the determination is ensured. In addition, the degree of freedom in how to use (hand holding timing, speed, etc.) increases, and usability improves. Further, in Patent Document 10, it is not applicable to 1: N authentication, but in this embodiment, it can be applied to 1: 1 authentication and 1: N authentication.

(Other examples)
In the above example, the degree of similarity at two time points before and after the contact between the palm and the contact plate 110 is compared, but is not limited thereto. For example, the degree of similarity may be compared at more time points or continuously. In this case, more precise determination is possible.

  Here, the palm is not flat but has irregularities. Therefore, when the palm is pressed against the plate, the contact is started from the puffed portion (convex portion). For this reason, the vein pattern becomes thinner from the convex portion and becomes thinner after the concave portion. Depending on the pressing pressure, the vein pattern of the recess may not disappear. Since there are individual differences in the uneven shape of the palm, individual differences also appear in the order and place where the vein pattern becomes thinner in the palm area. Therefore, by recording the location and disappearance order as registration information in the registration database 80 and using the registration information at the time of collation, a more precise identity verification can be performed.

  For example, referring to FIG. 7A, the palm region is divided into a plurality of parts. In the example of FIG. 7A, the palm region is approximated to a circumscribed rectangle and is further divided into nine blocks (3 × 3 equal parts). The vein pattern matching unit 40 calculates the similarity between the registered vein pattern and the matching vein pattern for each block. The authentication determination unit 50 determines authentication success (OK) and authentication failure (NG) for each block.

  FIG. 7B is a diagram for explaining an example of the relationship between the pressing pressure level (level 0 to level 5) and the authentication result of each block. With reference to FIG.7 (b), when the palm is not contacting the contact board 110, it determines with authentication being successful in each block. When the pressing pressure level increases, a block that is determined to be an authentication failure appears. If the pressing pressure level further increases, it is determined that the authentication has failed in many blocks. In the example of FIG. 7B, when the pressing pressure level becomes “5”, it is determined that the authentication has failed in all the blocks. However, there is a block that is determined to be successful even if the pressing pressure is increased. Also good.

  FIG.7 (c) is a table | surface showing the pressing pressure level which switches from authentication success to authentication failure in the example of FIG.7 (b). The information in FIG. 7C may be stored as registration data in the registration database 80, and the registration data may be used at the time of collation. For example, when pressing the palm of the user to be authenticated against the contact plate 110, if the pressing pressure level for switching from authentication success to authentication failure and the registered data match or a predetermined ratio or more match, the user to be authenticated is the person You may judge.

(Other examples)
The region used by the vein pattern matching unit 40 for matching may be different from the region used by the biological determination unit 70 for biological determination. For example, referring to FIG. 8A, the region used by the vein pattern matching unit 40 for matching may be a palm, and the region used by the biological determination unit 70 for biological determination may be one or more fingers. Also, referring to FIG. 8B, the region used for verification by the vein pattern matching unit 40 is a part of the palm, and the region used by the biological determination unit 70 for the biological determination is the same as the remaining part of the palm. The above fingers may be used.

  In the example of FIGS. 8A and 8B, if a transparent plate is used as the contact plate 110, a fingerprint of a finger can be obtained by photographing. Authentication accuracy can be further improved by using this fingerprint. For example, authentication is performed using the palm and finger vein patterns, further authentication is performed using the finger fingerprint while the finger is in contact with the transparent plate, and the finger vein pattern changes while the finger is in contact with the transparent plate The living body determination may be performed according to the above. In this case, authentication accuracy can be improved by performing biometric authentication using veins and fingerprints. In addition, a plate for accurately detecting a fingerprint and a plate for applying external pressure to the finger can be used in common.

  In the above example, palm or finger veins are used, but veins in other parts may be targeted. Moreover, although a board etc. are used as external pressure, it is not restricted to it. For example, wind pressure, ultrasonic waves, or the like may be used as the external pressure. Further, the biometric determination uses the similarity between the verification vein pattern and the registered vein pattern, but is not limited thereto. For example, whether or not the subject is a living body may be determined by comparing the luminance value of the vein pattern with no external pressure applied and the luminance value of the vein pattern with the external pressure applied. In addition, dedicated hardware such as a circuit may be used instead of each unit realized by executing the biological information processing program.

  In the above example, the imaging unit 107 functions as an acquisition unit that acquires vein information from a subject by imaging. The contact sensor 106 functions as a detection unit that detects whether or not an external pressure is applied to the subject. The living body determination unit 70 functions as a determination unit that determines whether or not the subject is a living body. The vein pattern matching unit 40 functions as a matching unit for matching the vein information for matching with the registered vein information. The authentication determination unit 50 functions as an authentication unit that authenticates the user to be authenticated.

  Although the embodiments of the present invention have been described in detail above, the present invention is not limited to such specific embodiments, and various modifications and changes can be made within the scope of the gist of the present invention described in the claims. It can be changed.

DESCRIPTION OF SYMBOLS 10 Imaging | photography control part 20 Palm detection part 30 Vein pattern extraction part 40 Vein pattern collation part 50 Authentication determination part 60 Push determination part 70 Living body determination part 70
80 Registration Database 100 Biological Information Processing Device 101 CPU
102 RAM
DESCRIPTION OF SYMBOLS 103 Memory | storage device 104 Display apparatus 105 Living body sensor 106 Contact sensor 107 Image pick-up part 108 Light irradiation part 109 Distance sensor 110 Contact board

Claims (6)

Acquisition means for acquiring vein information from a subject by photographing;
Detecting means for detecting a plurality of steps of external pressure in a state where the external pressure is applied to the subject;
For each vein information divided into a plurality of blocks, collation means for collating with registered vein information registered in the database,
A biological information processing apparatus comprising: a determination unit configured to perform identity determination according to a comparison result for each block at each stage of the external pressure.   The biological information processing apparatus according to claim 1, wherein the determination unit determines whether or not the subject is a living body according to a matching result of the matching unit. The collation means calculates a similarity between the vein information for collation and the registered vein information,
The biological information processing apparatus according to claim 1, wherein the determination unit determines whether the subject is a living body according to the similarity. The biological information processing according to claim 1 , wherein the detection unit is a pressure sensor that detects a pressure applied from an external pressure application unit for applying an external pressure to the subject. apparatus. The acquisition unit acquires vein information from the subject by shooting,
The detection unit detects a plurality of levels of external pressure in a state where the external pressure is applied to the subject,
The collation unit collates with the registered vein information registered in the database for each vein information divided into a plurality of blocks,
The biometric information processing method, wherein the determination unit performs identity determination according to a result of collation for each of the blocks at each stage of the external pressure. On the computer,
An acquisition step of acquiring vein information from a subject imaged by the imaging device;
A detection step of detecting a plurality of stages of external pressure in a state in which the external pressure is applied to the subject according to a detection result of the detection device;
For each vein information divided into a plurality of blocks, a matching step for matching with registered vein information registered in the database;
A biometric information processing program for executing a determination step of performing identity determination according to a collation result for each block at each stage of the external pressure.

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