WO2022018792A1 - Information processing device, face authentication promotion system, information processing method, and non-transitory computer-readable medium on which program is stored - Google Patents

Abstract

The present invention provides, inter alia, an information processing device with which it is possible to promote the use of biometric authentication. This information processing device (100) comprises an authentication request unit (130) and a determination unit (135). The authentication request unit (130) performs biometric authentication of biometric information of a user acquired by one installation terminal among a plurality of installation terminals positioned in various locations, and of registration biometric information of a registered user. When the biometric authentication is successful, the determination unit (135): determines the amplitude of an acquirable score or the distribution of an acquirable score on the basis of the number of times biometric authentication was performed in the past for the user on the plurality of installation terminals, the purchase amount associated with the installation terminals, and the required time, which is the difference between the point in time of the prior successful biometric authentication and the point in time of the current successful biometric authentication, or a combination of these factors; and randomly determines a score on the basis of the determined acquirable amplitude of the score or acquirable distribution of the score.

Description

Information processing equipment, facial recognition promotion system, information processing method, non-temporary computer-readable medium in which programs are stored

This disclosure relates to an information processing device, a face recognition promotion system, an information processing method, and a non-temporary computer-readable medium in which a program is stored.

In Patent Document 1, points are given when a user who owns a game terminal visits the store and checks in to the store, and the points are exchanged for in-game items, currencies, and experience points of characters to activate the game. The system to be changed is disclosed.

Patent Document 2 discloses a rally game system that authenticates participants using a non-contact IC storage medium and can promote regional promotion and sales promotion of products or services. It is stated that checkpoint terminal measures will be provided at each member store, and patrol points will be given to purchases at each member store according to the purchase price or the number of purchases.

International Publication No. 2017/0605060 Japanese Unexamined Patent Publication No. 2008-234422

By the way, systems using biometrics such as face recognition are being developed in various places such as airports. Such biometric authentication is required to be widely used by various users.

The present disclosure has been made to solve such problems, and an object of the present disclosure is to provide an information processing device, a face recognition promotion system, an information processing method and a program capable of promoting the use of biometric authentication.

The information processing apparatus according to the first aspect of the present disclosure is
An authentication requesting unit that performs biometric authentication between the user's biometric information acquired by one installed terminal and the registered biometric information of the registered user among a plurality of installed terminals arranged in various places.
When the biometric authentication is successful, the number of times the user has performed biometric authentication in the past on the plurality of installed terminals, the purchase amount associated with the installed terminals, the previous biometric authentication success time and the current biometric authentication success. The width of the obtainable score or the distribution of the obtainable score is determined based on the required time, which is the difference from the time, or a combination thereof, and the width of the determined obtainable score or the distribution of the obtainable score is determined. A decision-making part that randomly determines the score based on
To prepare for.

The face recognition promotion system according to the second aspect of the present disclosure is
With a camera to shoot the user,
With the above information processing equipment
It is equipped with a location information acquisition unit that acquires the location information of the user terminal, and the user terminal owned by the user and the user terminal.
It is provided with an authentication device that executes a collation process with a pre-registered registered image for a photographed user's face image.

The information processing method according to the third aspect of the present disclosure is
Biometric authentication is performed between the biometric information of the user acquired by one of the installed terminals arranged in various places and the registered biometric information of the registered user.
When the biometric authentication is successful, the number of times the biometric authentication has been performed for the user in the past, the purchase amount associated with the installed terminal, and the difference between the previous biometric authentication success time and the current biometric authentication success time are required. The range of available scores or the distribution of available scores is determined based on time or a combination thereof, and the scores are randomly determined based on the determined range of available scores or the distribution of available scores. To determine.

The non-temporary computer-readable medium in which the program according to the fourth aspect of the present disclosure is stored is a non-temporary computer-readable medium.
A process of performing biometric authentication between the user's biometric information acquired by one installed terminal and the registered biometric information of the registered user among a plurality of installed terminals arranged in various places.
When the biometric authentication is successful, the number of times the biometric authentication has been performed for the user in the past, the purchase amount associated with the installed terminal, and the difference between the previous biometric authentication success time and the current biometric authentication success time are required. The range of available scores or the distribution of available scores is determined based on time or a combination thereof, and the scores are randomly determined based on the determined range of available scores or the distribution of available scores. And the process of determining
A non-temporary computer-readable medium in which a program is stored that causes a computer to perform operations including.

With this disclosure, it is possible to provide an information processing device or the like that can promote the use of biometric authentication.

It is a block diagram which shows the structure of the information processing apparatus which concerns on Embodiment 1. FIG. It is a flowchart which shows the flow of the information processing method which concerns on Embodiment 1. It is a block diagram which shows the structure of the information processing apparatus which concerns on Embodiment 2. It is a flowchart which shows the flow of the information processing method which concerns on Embodiment 2. It is a block diagram which shows the structure of the face recognition promotion system which concerns on Embodiment 3. It is a block diagram which shows the structure of the user terminal which concerns on Embodiment 3. FIG. It is a block diagram which shows the structure of the installation terminal which concerns on Embodiment 3. FIG. It is a block diagram which shows the structure of the face recognition promotion apparatus which concerns on Embodiment 3. FIG. It is a figure which shows the example of changing the width of the score which can be acquired. It is a figure which shows the example of changing the width of the score which can be acquired. It is a figure which shows the example of the change of the distribution of the score which can be acquired. It is a block diagram which shows the structure of the authentication apparatus which concerns on Embodiment 3. FIG. It is a flowchart which shows the flow of the face information registration process which concerns on Embodiment 3. It is a flowchart which shows the flow of the face recognition processing which concerns on Embodiment 3. It is a sequence diagram which shows the whole operation of the face recognition promotion system which concerns on Embodiment 3. FIG. It is a figure explaining the arrangement example of the installation terminal which performs the biometric authentication which concerns on Embodiment 3. FIG. It is a figure explaining the screen example displayed on the user terminal or the installation terminal. It is a figure explaining the change or growth of a character. It is a figure explaining the example of the composite photograph of a character and a user. It is a block diagram which shows the structure of the face recognition promotion system which concerns on Embodiment 4. It is a block diagram which shows the structure of the authentication apparatus which concerns on Embodiment 4. FIG. It is a block diagram which shows the structure of the installation terminal which concerns on Embodiment 4. FIG.

(Embodiment 1)
Hereinafter, embodiments of the present disclosure will be described with reference to the drawings.
FIG. 1 is a block diagram showing a configuration of an information processing apparatus according to the first embodiment.
The information processing device 100 is an electronic circuit unit composed of a CPU (Central Processing Unit) (not shown), a memory, an interface circuit, and the like. The information processing apparatus 100 performs predetermined control processing by executing a program to be mounted by a CPU. The information processing apparatus 100 includes.

The information processing device 100 has an authentication request unit 130 and a determination unit 135. The authentication requesting unit 130 causes biometric authentication of the user's biometric information acquired by one of the installed terminals arranged in various places and the registered biometric information of the registered user. The biometric information includes biometric information such as facial images, fingerprint images, iris images, voice prints, veins, and palms. The installed terminal may be equipped with a camera, an infrared camera, or a dedicated scanner to acquire such biometric information.

When the biometric authentication is successful, the determination unit 135 determines the number of times the biometric authentication has been performed on the plurality of installed terminals in the past, the purchase amount associated with the installed terminal, the previous biometric authentication success time, and this time. The width of the obtainable score or the distribution of the obtainable score is determined based on the required time, which is the difference from the successful biometric authentication time, or a combination thereof. Further, the determination unit 135 randomly determines the score based on the determined range of the obtainable score or the distribution of the obtainable score.

FIG. 2 is a flowchart showing the flow of the information processing method according to the first embodiment.
The authentication requesting unit 130 causes biometric authentication of the user's biometric information acquired by one of the plurality of installed terminals arranged in various places and the registered biometric information of the registered user (the authentication requesting unit 130). Step S101). When the biometric authentication is successful, the determination unit 135 determines the number of times the biometric authentication has been performed on the plurality of installed terminals in the past, the purchase amount associated with the installed terminal, the previous biometric authentication success time, and this time. The width of the obtainable score or the distribution of the obtainable score is determined based on the required time, which is the difference from the biometric authentication success time of the above, or a combination thereof (step S103). Further, the determination unit 135 randomly determines the score based on the determined range of the obtainable score or the distribution of the obtainable score (step S104).

According to the first embodiment described above, the use of biometric authentication can be promoted by motivating the user to actively use biometric authentication and to continue using it.

(Embodiment 2)
FIG. 3 is a block diagram showing a configuration of the information processing apparatus according to the second embodiment.
The information processing apparatus 100 includes a registration request unit 120, an authentication request unit 130, a determination unit 135, a grant unit 140, an integration unit 150, and an output unit 160. In FIG. 3, the same components as those in the first embodiment are designated by the same reference numerals as those in FIG. 1, and the description thereof will be omitted as appropriate. In the present embodiment, a registration request unit 120, a grant unit, an integration unit 150, and an output unit are added.
The registration requesting unit 120 requests the authentication device to register the user's face image in association with the user's identification information. When the face recognition is successful, the giving unit 140 gives the user a score randomly determined for each installed terminal. The integration unit 150 integrates a plurality of scores given by the success of face recognition on a plurality of installed terminals for the user. The output unit 160 outputs a privilege to the user according to the score determined by the determination unit 135 or the score integrated by the integration unit 150. In particular, in the present embodiment, the output unit 160 outputs, as a privilege, a face image of the user taken by the camera of the installation terminal with predetermined processing. As the "predetermined processing of the user's face image", for example, a character that changes or grows according to the integrated score may be combined with the photographed user's face image. The registration request unit 120 may be provided in a user terminal or an installed terminal possessed by a user, which will be described later, and is not an essential component.

FIG. 4 is a flowchart showing the flow of the information processing method according to the second embodiment.
The registration requesting unit 120 requests the authentication device to register the user's face image in association with the user's identification information (step S101). Such a registration request may be executed by a user terminal, an installed terminal, or an arbitrary server device (for example, a face recognition promotion device described later) described later. The authentication requesting unit 130 causes face authentication of the user's face image taken by the camera of one of the installed terminals arranged in various places and the registered user's face image. (Step S102). When the biometric authentication is successful, the determination unit 135 determines the number of times the biometric authentication has been performed on the plurality of installed terminals in the past, the purchase amount associated with the installed terminal, the previous biometric authentication success time, and this time. The width of the obtainable score or the distribution of the obtainable score is determined based on the required time, which is the difference from the biometric authentication success time of the above, or a combination thereof (step S103). Further, the determination unit 135 randomly determines the score based on the determined range of the obtainable score or the distribution of the obtainable score (step S104). The giving unit 140 gives a score determined for each installed terminal to the user (step S105). The integration unit 150 integrates a plurality of scores given by the success of the face recognition on the plurality of installed terminals for the user (step S106). The output unit 160 outputs the privilege to the user according to the determined score or the accumulated score (step S107). As shown in FIG. 19, the output unit 160 outputs a composite of the character's face image taken by the camera of the installation terminal as a privilege. The character may change or grow depending on the accumulated score.

As described above, in the second embodiment, the privilege for the user may be output to an external device such as a user terminal or an installed terminal according to the score determined by the determination unit 135. Alternatively, the privilege for the user may be output to an external device such as a user terminal or an installed terminal according to the score accumulated by the integration unit 150.

According to the second embodiment described above, the use of face recognition can be promoted by further motivating the user to use face recognition and to continue using it. Further, by using the photographed image of the user used for face recognition as a privilege of the user, it is possible to realize a comprehensive and integrated service without a new burden on the service provider.

(Embodiment 3)
FIG. 5 is a block diagram showing a configuration of the face recognition promotion system according to the third embodiment. Face recognition promotion systems can be used to promote the use of face recognition by installed terminals installed in various locations. In particular, the face recognition promotion system promotes a plurality of installed terminals that perform face recognition by using game-like elements and ideas (gamification) for regional revitalization and tourism promotion. In this specification, people who can use the service using face recognition can be referred to as a user. Further, in the present embodiment, the face recognition will be mainly described, but other biometric authentication can also be used.

Services using face recognition include face recognition payment, granting various points by face recognition, entry and exit by face recognition (for example, stadiums, museums, leisure facilities, etc.), ticket gates by face recognition, and getting on and off by face recognition (for example). , Bus, taxi, ferry, etc.), facial recognition check-in / check-out (eg, airport counters, hotel front desks, or hotel room key substitutions), but are not limited to these.

As shown in FIG. 5, the face recognition promotion system includes a face recognition promotion device 100a, an authentication device 200, a user terminal 300, and one or more installed terminals 400 (400a to 400c). The face recognition promotion device 100a, the authentication device 200, the user terminal 300, and the installed terminal 400 are connected to each other via a wired or wireless network 500. The installed terminal 400 is a terminal that executes user face recognition by an internal camera. The installed terminal is a place that directly interacts with the user in this system, and is also called a touch point. The plurality of installation terminals 400 can be installed in various places. In FIG. 5, the installed terminal 400a is installed in a scenic spot, the installed terminal 400b is installed in an airport, and the installed terminal 400c is installed in a station, but the present disclosure is not limited thereto. For example, as mentioned above, places where services using facial recognition can be used include stadiums, museums, leisure facilities, ticket gates, buses, taxis, ferries, airport counters, hotel receptions, and various stores. .. Further, the plurality of installed terminals may be arranged in a predetermined area such as a shopping district. The face recognition promotion device 100a according to the present embodiment is a server device realized by a computer, and is an example of the above-mentioned information processing device 100.

FIG. 6 is a block diagram showing the configuration of the user terminal 300.
The user terminal 300 is a terminal carried by the user, and can be, for example, an information processing device such as a smartphone, a tablet, a PC (Personal Computer), or a wearable device. The user terminal 300 can receive the face authentication promotion information and display it. The face recognition promotion information includes the user's face image taken at the time of face recognition, map information about the installed terminal near the user, face recognition history information for each user (including time information at the time of authentication), and each user. Can include privilege information given to. Further, the user terminal 300 can acquire the position information of the user terminal and transmit the position information to the face authentication promotion device 100a.

As shown in FIG. 6, the user terminal 300 includes a camera 310, a storage unit 320, a communication unit 330, a display unit 340, and a control unit 350. The control unit 350 further includes a shooting unit 351, a registration request unit 352, an application 353, and a position information acquisition unit 354.

The camera 310 converts the subject image formed by the optical lens in the lens barrel unit into image data by the image pickup unit, and displays the subject image on the display unit 340 based on the converted image data. Further, the camera 310 records image data of still images and moving images in the recording unit 320. The camera 310 may be used, in particular, to capture a user's facial image or to scan a user's facial image identification card (eg, a driver's license, etc.). The storage unit 320 stores image data of still images and moving images, and a program for realizing each function of the user terminal 300. The storage unit 320 is composed of, for example, a semiconductor memory, an optical disk, an HD (hard Disc), or the like.

The communication unit 330 is a communication interface with the network 500. The communication unit 330 is used to communicate with other network node devices constituting the face recognition promotion system. The communication unit 330 may be used for wireless communication. For example, the communication unit 330 may be used to perform wireless LAN communication specified in the IEEE 802.11 series or mobile communication specified in 3GPP (3rd Generation Partnership Project) or the like.

The display unit 340 is composed of, for example, a touch screen display or the like. That is, the display unit 340 also functions as a reception unit that accepts operation input by the user. The display unit 340 can also display the position information of the user terminal and the position information of the installed terminal in the vicinity on the map on the application 353. In addition, the display unit 340 can also display score information, privilege information, and time information at the time of successful authentication, which are given by the face recognition promotion system.

The control unit 350 is composed of a processor, a memory, and the like, and performs various processes of the user terminal by reading software (computer program) from the storage unit 320 into the memory and executing the software (computer program). Further, the control unit 350 controls the hardware of the user terminal 300. The processor may be, for example, a microprocessor, an MPU (MicroProcessingUnit), or a CPU (CentralProcessingUnit). The processor may include a plurality of processors. The control unit 350 includes a shooting unit 351, a registration request unit 352, an application 353, and a position information acquisition unit 354.

The shooting unit 351 controls the camera 310 to shoot a user's image or scan an identification card with a user's face image (for example, a driver's license). This image is an image including at least the face of the user. The registration request unit 352 can transmit a face information registration request including a captured user image (registered image) to the authentication device 200 via the network 500. The user terminal 300 may display an output image on the screen of the display unit 340. Application 353 is an application program installed by the user. The application 353 can be logged in by the login information unique to the user (for example, a combination of the user-specific identification information and the password), receive the user-specific information from the face authentication promotion device 100a, and provide the user with the user-specific information. The position information acquisition unit 354 can acquire the position information of the user terminal based on the received signal from the GPS receiver.

FIG. 7 is a block diagram showing the configuration of the installed terminal. The installed terminal 400 can be used to perform biometric or face recognition of the user and, upon success of the biometric or face recognition, perform various processes. Various processes include, for example, face recognition payment, point recognition by face recognition, entrance / exit by face recognition (for example, stadium, museum, leisure facility, etc.), ticket gate by face recognition, getting on and off by face recognition (for example, bus, taxi). , Ferries, etc.), facial recognition check-in / check-out (eg, airport counters, hotel front desks, or hotel room key substitutions), but are not limited to these. Other biometrics may be used to perform these various processes.

The installation terminal 400 may be configured by a computer. As shown in FIG. 7, the installation terminal 400 includes a camera 410, a storage unit 420, a communication unit 430, a display unit 440, and a control unit 450. The control unit 440 includes a photographing unit 451, a registration request unit 452, an application 453, and a providing unit 454. In this example, the installed terminal 400 has a built-in camera 410 and a display unit 440, but these may not be built-in. In that case, the installed terminal 400 can be realized by being connected to an external camera 410 and an external display unit 440 via a network. Further, the installation terminal 400 may have a means for acquiring other biometric information in addition to the camera 410. For example, the installed terminal 400 may have an infrared camera for acquiring an iris image or a dedicated scanner for scanning fingerprints, veins, and palms.

The camera 410 converts the subject image formed by the optical lens in the lens barrel into image data by the imaging unit, and displays the subject image in live view on the display unit 440 based on the converted image data. The camera 410 can recognize the face of the user in front of the installation terminal and take a picture. Known image recognition techniques can be used to recognize the user's face. Further, the camera 410 records image data of a still image or a moving image in the recording unit 420. The storage unit 420 is composed of, for example, a semiconductor memory, an optical disk, an HD (hard disk), or the like.

The communication unit 430 is a communication interface with the network 500, similarly to the communication unit 330 of the user terminal 300. The communication unit 430 can transmit the captured image data to the face recognition promotion device 100a via the network 500.

The display unit 440 is composed of, for example, a liquid crystal display, an organic EL (EL: Electroluminescence) display, a touch screen display, or the like. The display unit 440 can display the image data captured by the camera 410 in a live view. Further, the display unit 440 can display face authentication promotion information for encouraging the user to perform face authentication, for example, via the application 453.

The control unit 450 is composed of a processor, a memory, and the like, and performs various processes of the installed terminal by reading software (computer program) from the memory and executing the software (computer program). Further, the control unit 450 controls hardware (for example, a camera, a display unit, etc.) built in the installation terminal or connected to the outside of the installation terminal. The processor may be, for example, a microprocessor, an MPU (MicroProcessingUnit), or a CPU (CentralProcessingUnit).

The control unit 450 includes a shooting unit 451, a registration request unit 452, an application 453, and a provision unit 454. The shooting unit 451 controls the camera 410, recognizes the face of the user or the like, and shoots an image including a face image. A known image recognition technique can be used for face recognition of a user or the like. The registration request unit 452 can transmit a face information registration request including a captured user image (registered image) to the authentication device 200 via the network 500. If the user has not registered his / her face image in the authentication device by the registration request part of the user terminal, when the user first performs face authentication by the installation terminal, the user uses the registration request part of the installation terminal to register his / her face image. It may be registered in the authentication device. The application 453 can be logged in by the login information (for example, a combination of ID and password) peculiar to the installed terminal (or service provider) and can provide the face authentication promotion information from the face authentication promotion device 100a. The providing unit 454 provides various processes depending on the result of success or failure of face recognition from the authentication device or the face recognition promotion device. For example, if the installed terminal is a gate device, the providing unit 454 operates to open the gate when face recognition is successful. Further, when the installed terminal is installed in the hotel, the providing unit 454 performs the check-in process using the personal information acquired from the authentication device when the face authentication is successful.

FIG. 8 is a block diagram showing the configuration of the face recognition promotion device 100a.
The face recognition promotion device 100a is an information processing device (for example, a server realized by a computer) used by a service provider who uses the authentication device 200 (details will be described later). The face recognition promotion device 100a is also referred to as a service providing device. A service ID is assigned to the service provider. A user who uses the service inputs a user ID and personal information to the face authentication promotion device 100a, for example, via a user terminal. The face recognition promotion device 100a transmits the user ID and the service ID to the authentication device 200. The face authentication promotion device 100a performs a user registration process, a user authentication process, and the like on the authentication device. The authentication device generates a service user ID from the user ID and the service ID, and returns the service user ID to the face authentication promotion device.

The face recognition promotion device 100a includes a control unit 10a, a memory 11a, a communication unit 12a, and a storage unit 110a. The face recognition promotion device 100a according to the present embodiment is a specific example of the information processing device 100 according to the first or second embodiment.

The control unit 10a is a control device that controls the operation of the face authentication promotion device 100a, and is composed of, for example, a processor such as a CPU. The memory 11a is a storage area for temporarily storing the processing contents of the control unit 10a, and is, for example, a volatile storage device such as a RAM. The control unit 10a reads the program 111 from the storage unit 110a into the memory 11a and executes various processes. Specifically, the control unit 10a functions as a registration request unit 120a, an acquisition unit 121a, an authentication request unit 130a, a determination unit 135a, a grant unit 140a, an integration unit 150a, an output unit 160a, and a provision unit 170a.

The storage unit 110a includes the program 111, the service user information 112, and the installed terminal information 113. The service user information 112 includes the service user ID 1121, the personal information 1122 associated with the service user ID 1121, and the user terminal information 1123 associated with the service user ID. The installation terminal information 113 is associated with the installation terminal ID 1131 unique to the installation terminal used by the service provider, the position information 1132 indicating the position of the installation terminal associated with the installation terminal ID, and the user ID and the installation terminal ID. Includes face recognition history information 1133. The face recognition history information 1133 indicates when and what user performed face recognition on which installed terminal. Personal information 1122 includes, for example, name, affiliation, email address, date of birth, account number, credit card number, electronic money information, payment method, purchase amount, purchase history, and the like.

The acquisition unit 121a acquires the user's face image and the user's personal information from the user terminal 300. Further, the acquisition unit 121a acquires the user's face image taken at the time of face authentication by the camera of the installation terminal 400. Acquires other biometric authentication information acquired by the infrared camera or scanner of the installed terminal 400. Further, the acquisition unit 121a can acquire the position information of the user terminal.

The registration unit 120a registers the user's face image associated with the service user ID in the storage unit 110a. The registration unit 120a registers the user's face image or the face feature information based on the user's face image in the authentication device 200 in association with the service user ID.

The authentication requesting unit 130a acquires a photographed image taken by the user by the camera 410 of the installation terminal 400 via the network, transmits it to the authentication device 200, and informs the authentication device 200 of the facial feature information about the photographed image. Request to perform face recognition using. After that, the authentication device 200 collates the captured image with the registered image of the user registered in advance.

When face recognition is successful, the determination unit 135a determines the number of times face recognition has been performed on one or more installed terminals in the past, the purchase amount associated with the installed terminal that has performed face recognition payment, and the previous face recognition. Based on the required time, which is the difference between the success time and the success time of this face recognition, or a combination thereof, the range of the available scores or the distribution of the available scores is determined for each installed terminal. The range of scores that can be obtained may be in the range including the upper limit value and the lower limit value.

For example, the range of scores that can be obtained, that is, the upper limit value and the lower limit value (for example, 70 to 100 points) is determined so that the higher the number of times face recognition is performed in the past, the easier it is to obtain a higher score. .. For example, as shown in FIG. 9, by raising the lower limit value without changing the upper limit value, a range in which a higher score can be easily obtained may be determined. Further, as shown in FIG. 10, by raising both the lower limit value and the upper limit value, a range in which a higher score can be easily obtained may be determined. On the other hand, the range of the scores that can be obtained, that is, the upper limit value and the lower limit value (10 to 100 points) is determined so that the lower the number of times the face recognition is performed in the past, the easier it is to obtain a lower score.

Alternatively, the probability distribution of the scores that can be obtained may be determined so that the higher the number of times face recognition is performed in the past, the easier it is to obtain a higher score (changed from the probability distribution P1 to P2 in FIG. 11). On the other hand, the probability distribution of the scores that can be obtained may be determined so that the lower the number of times face recognition is performed in the past, the easier it is to obtain a lower score.

In another example, when the installed terminal has a payment function based on face recognition, the range of scores that can be obtained so that the higher the purchase amount on the installed terminal that succeeded in face recognition, the easier it is to obtain a higher score. That is, the upper limit value and the lower limit value (for example, 70 to 100 points) are determined. For example, if the total purchase amount on the installed terminal exceeds a threshold value (for example, 10,000 yen), the range of scores that can be obtained, that is, the upper limit value and the lower limit value (for example,) so that a higher score can be easily obtained. , 90-100 points) may be determined. Depending on the purchase price (for example, every 1000 yen), the range of scores that can be obtained may be determined step by step (for example, if it is within 1000 yen, 0 to 10 points, from over 1000 yen to 2000. If it is within the yen, 11 to 20 points, etc.). Further, the probability distribution may be changed according to the purchase price.

In yet another example, the shorter the time difference (also called the required time) between the time when face recognition is performed on one installed terminal and the time when face recognition is performed on the next installed terminal, the easier it is to obtain a higher score. , The range of scores that can be obtained, that is, the upper limit and the lower limit (for example, 70 to 100 points) are determined. For example, when the required time is within a threshold value (for example, within 1 hour), the range of scores that can be obtained, that is, the upper limit value and the lower limit value (for example, 90 to 100 points) are determined. Depending on the time required (eg, every 30 minutes), the range of scores that can be obtained may be determined stepwise (eg, 90-100 points for less than 1 hour, more than 1 hour to 2). If it is within the time, 80 to 100 points, etc.). Further, the probability distribution may be changed according to the required time.

In yet another example, it can be obtained based on any combination of the number of times biometrics have been performed on multiple installed terminals in the past, the purchase price associated with the installed terminal, and the required time associated with the installed terminal. The width of the score or the distribution of the score that can be obtained may be determined for each installed terminal.

The determination unit 135a randomly assigns a score (for example, 80 points) to the user based on the range of the obtainable score determined as described above (for example, 70 to 100 points) or the distribution of the obtainable score. ) Is determined.

When the user's face authentication is successful, the granting unit 140a grants the score determined by the determining unit 135a to the user. The assigned score is associated with the service user ID and stored in the storage unit.

The integration unit 150a integrates the score assigned by the grant unit 140a for each user. The accumulated score is associated with the user ID and stored in the storage unit. The integration unit may integrate the scores assigned by the granting unit 140a for each user for a predetermined period (for example, the past week, the past January).

The output unit 160a outputs the determined score or the integrated score to the user terminal 300 or the installed terminal 400. The output unit 160a can output the determined score or the integrated score to the installed terminal that has succeeded in biometric authentication (for example, face authentication). Further, when the determined score or the integrated score reaches a predetermined value, the output unit 160a may output information regarding the privilege (details will be described later) or the privilege according to the determined score or the integrated score. .. Further, the output unit 160a can output the map information in the vicinity of the face-authenticated installation terminal to the installation terminal or the user terminal. Alternatively, the output unit 160a can output the position information of the user terminal acquired by the acquisition unit 121a to the user terminal together with the map information in the vicinity of the installation terminal whose face has been authenticated most recently.

The providing unit 170a instructs to provide the service for each service provider through the installed terminal according to the success or failure of face recognition. For example, if the installed terminal is a gate device, the providing unit 170a can instruct the gate to be opened when the face recognition is successful. Further, when the installed terminal is installed in the hotel, the providing unit 170a can instruct the installed terminal to perform the check-in process using the personal information acquired from the authentication device when the face authentication is successful. When the installed terminal has a settlement function using biometric authentication, the providing unit 170a may settle the purchase amount associated with the installed terminal with successful face authentication from the user's credit card or bank account when the face authentication is successful. can.

The communication unit 12a is an interface for communicating with the outside of the face recognition promotion device. The communication unit 12a is used to communicate with other network node devices constituting the face recognition promotion system. The communication unit 12a may be used for wireless communication. For example, the communication unit 12a may be used to perform wireless LAN communication specified in the IEEE 802.11 series or mobile communication specified in 3GPP (3rd Generation Partnership Project). Alternatively, the communication unit 12a may include, for example, a network interface card (NIC) compliant with the IEEE802.3 series.

FIG. 12 is a block diagram showing the configuration of the authentication device 200. The authentication device 200 includes a face information DB 210, a face detection unit 220, a feature point extraction unit 230, a registration unit 240, and an authentication unit 250. The face information DB 210 may have other biometric information.

The face information DB 210 stores the user ID and the face feature information of the user in association with each other. The face information DB 210 also stores the service user ID 214 generated when the authentication device 200 receives the user ID and the service ID in association with the service ID 213 unique to the service provider using the face authentication. The face information DB 210 is also referred to as a storage unit. Further, the authentication device 200 generates a service user ID when receiving the user ID and the service ID from the request source (for example, the face recognition promotion device 100a), and returns the service user ID to the request source. The authentication device 200 collates the face image included in the request with the face feature information of each user in response to the face authentication request received from the request source (for example, the face authentication promotion device 100a), and collates the face image (face). Reply to the requester (authentication success or failure).

The face detection unit 220 detects the face area included in the registered image for registering face information and outputs it to the feature point extraction unit 230. The feature point extraction unit 230 extracts feature points (for example, eyes, nose, mouth, etc.) from the face region detected by the face detection unit 220, calculates the distance between each feature point as a feature amount, and makes a face in the registration unit 240. Output feature information. Here, the face feature information is a set of extracted feature points. Further, the feature point extraction unit 230 extracts the feature points included in the face image received from the face authentication promotion device 100a, and outputs the face feature information to the authentication unit 250.

The registration unit 240 newly issues a user ID when registering facial feature information. The registration unit 240 registers the issued user ID and the face feature information extracted from the registered image in the face information DB 210 in association with each other. Further, the registration unit 240 generates a service user ID when receiving the user ID and the service ID from the request source (for example, the face authentication promotion device 100a), and returns the service user ID to the request source. The authentication unit 250 collates the face feature information extracted from the face image (photographed image) with the face feature information in the face information DB 210. The authentication unit 250 returns to the face authentication promotion device 100a whether or not the face feature information matches. The presence or absence of matching of facial feature information corresponds to the success or failure of authentication.

FIG. 13 is a flowchart showing the flow of the face information registration process by the authentication device 200. First, the authentication device 200 acquires the registered image of the user included in the face information registration request (step S201). For example, the authentication device 200 receives a face information registration request from the face authentication promotion device 100a via the network 500. Next, the face detection unit 220 detects the face area included in the registered image of the user (step S202). Next, the feature point extraction unit 230 extracts feature points from the face region detected in step S202, and outputs face feature information to the registration unit 240 (step S203). Finally, the registration unit 240 issues a user ID, associates the user ID with the face feature information and the personal information, and registers the user ID in the face information DB 210 (step S204). Here, the issued user ID may be associated with personal information acquired in advance, such as a name, affiliation, e-mail address, date of birth, and a combination thereof. The authentication device 200 may receive face feature information from a user terminal or the like and register it in the face information DB 210 in association with the user ID. The user ID is also sent to the face authentication promotion device 100a and stored as user information. Further, the user ID may be transmitted to the user terminal 300 and the installed terminal 400 and stored in them. In this embodiment, face recognition has been described as an example, but other biometric information may be used.

FIG. 14 is a flowchart showing the flow of face recognition processing by the authentication device 200. First, the feature point extraction unit 230 acquires face feature information from the face image (photographed image) received from the face authentication promotion device 100a (step S301). For example, the authentication device 200 receives a face image (photographed image) from the face authentication promotion device 100a, and extracts face feature information as in steps S201 to S203. Alternatively, the authentication device 200 may receive face feature information from the face authentication promotion device 100a. Next, the authentication unit 250 collates the acquired facial feature information of the captured image with the facial information DB 210 (step S302). Such an authentication method is also called one-to-N authentication. From the viewpoint of improving the collation accuracy, the registered image associated with the user ID and the face feature information of the acquired captured image may be collated instead of collating with all the image data in the face information DB 210. In this case, for example, the user ID may be input to the user via the touch panel of the installed terminal. Alternatively, the installation terminal 400, the face recognition promotion device 100a, and the authentication unit can be read by reading the identification code (for example, QR code (registered trademark)) displayed on the installation terminal via the user terminal associated with the user ID. The 250 can recognize the user ID. When the face feature information matches (Yes in step S303), the authentication unit 250 identifies the user ID of the user whose face feature information matches, and determines that the face authentication was successful and the identified user ID as the face authentication promotion device. Reply to 100a (step S304). When there is no matching face feature information (No in step S303), the authentication unit 250 returns to the face authentication promotion device 100a that the face authentication has failed (step S306). In this embodiment, face recognition has been described as an example, but other biometric information may be used.

FIG. 15 is a sequence diagram showing the overall operation of the face recognition promotion system according to the third embodiment.
The installation terminal 400 acquires a user's face image by activating the camera (step S401). The installation terminal 400 transmits the acquired face image of the user to the face authentication promotion device 100a via the network (step S402). The face authentication promotion device 100a transmits a face authentication request for the face image to the authentication device 200 (step S403). The authentication device 200 performs collation processing between the face image and a plurality of registered images registered in advance (step S404). When the face authentication is successful, the authentication device 200 identifies the service user ID for the face image and transmits it to the face authentication promotion device 100a (step S405). The face recognition promotion device 100a identifies the personal information of the user from the service user ID (step S406), and transmits the personal information to the installation terminal 100 (step S408). The installed terminal 100 provides a predetermined service (for example, face recognition payment) based on personal information. In this embodiment, face recognition has been described as an example, but other biometric information may be used.

FIG. 16 is a diagram illustrating an arrangement example of an installed terminal that performs biometric authentication.
An example of arranging a plurality of installed terminals in a specific area (for example, a shopping district) to encourage users to use biometric authentication will be described. In FIG. 16, installation terminals 400a, 400b, 400c, 400d, and 400e are installed at points A, B, C, D, and E, respectively. The user shall use biometrics for the first time. In the installed terminals 400a, 400b, 400c, and 400d, the range (upper limit value and lower limit value) of the score that can be given to the user at the time of successful face authentication is determined, respectively. The range of scores that can be obtained includes the number of times the user has performed face recognition on multiple installed terminals in the past, the purchase price associated with the installed terminal that has succeeded in face recognition, and the previous face recognition success time (for example, A). It can be determined based on the required time, which is the difference between the time at the point) and the time when the face recognition is successful this time (for example, the time at the point B).

For example, when the first face recognition is successful at 13:00 at point A (installed terminal 400a), the number of past authentications is zero, so a range of 10 to 100 pt is set. The installed terminal 400a has a face authentication settlement function, but the purchase amount of the user is 100 yen, which is less than the threshold value (for example, 10,000 yen), and the range of the score that can be acquired does not change. Finally, from this range (eg, 10-100 pt), the user's score is randomly determined. In this example, the score of the first user is 10 pt.

Next, when the second face recognition is successful at 13:10 at point B (installed terminal 400b), the number of successful authentications in the past is 1, so the range of scores that can be obtained is the number of times of past authentication. Accordingly, it is changed to make it easier to obtain a higher score (for example, 20 to 100 pt). Further, in this example, since the required time (10 minutes, 13:00 to 13:10) is within the threshold time (for example, within 30 minutes), the range of scores that can be obtained is further based on the required time. , Changed to make it easier to get higher scores. In this example, the range of 30 to 100 pt is set. Finally, from this range (eg, 30-100 pt), the user's score is randomly determined. In this example, the score of the second user is 30 pt. Since the installed terminal 400b is, for example, a gate device and does not have a face recognition settlement function, there is no purchase amount associated with the installed terminal 400b.

Next, when the third face recognition is successful at 13:20 at point C (installed terminal 400c), the number of successful authentications in the past is 2, so the range of scores that can be obtained is the number of past authentications. Accordingly, it is changed to make it easier to obtain a higher score (for example, 30 to 100 pt). Further, in this example, the required time (10 minutes, 13:10 to 13:20) is within the threshold time (for example, within 30 minutes), so that the range of scores that can be obtained is further based on the required time. , To make it easier to get a higher score (eg 40-100pt). Further, since the installed terminal 400c has a face recognition payment function, the purchase price associated with the installed terminal 400c is 50,000 yen. Since the purchase price is greater than the threshold (eg, 30,000 yen), the range of available scores will be changed to facilitate higher scores (eg, depending on the purchase price associated with the installed device). 70-100pt). Finally, from this range (eg 70-100pt), the user's score is randomly determined. In this example, the score of the third user is 80 pt.

When the fourth face authentication is successful at 14:00 on the installed terminal 400d, the number of successful authentications in the past is 3, so the range of scores that can be obtained is higher according to the number of times of authentication in the past. It is changed to be easier to obtain (for example, 40 to 100 pt). Since the required time (40 minutes, 13:20 to 14:00) exceeds the threshold time (for example, 30 minutes), the range of scores that can be obtained is not changed by the required time. Further, since the installed terminal 400d is, for example, a gate device and does not have a face recognition settlement function, there is no purchase amount associated with the installed terminal 400d. Finally, from this range (eg, 40-100 pt), the user's score is randomly determined. In this example, the score of the fourth user is 50 pt.

The score acquired by each installed terminal is accumulated (in this example, the integrated value after point D is 170pt). Benefits for the user are determined according to the accumulated score. In this example, as a privilege for the user, a virtual character is displayed on the user terminal or the installed terminal. The character can change or grow according to the accumulated score. The user can successfully perform face recognition on the setting terminal according to a predetermined route (for example, A, B, C, D, E) and earn points. Alternatively, the user may randomly succeed in face recognition on the installed terminal and earn points. As described above, the plurality of installed terminals are arranged at a predetermined distance, and the user is intended to walk around the plurality of installed terminals and perform face recognition on the user.

FIG. 17 is an example of a screen displayed on a user terminal or an installed terminal.
FIG. 17 shows a screen when the user succeeds in face recognition at the positions A to C (installed terminals 400a, 400b, 400c) and then succeeds in face recognition at the installed terminal 400d. The current position can be displayed on a user terminal capable of receiving GPS. As described above, since the user terminal 300 includes the position information acquisition unit 354, the user himself / herself via the display unit of the user terminal 300 while moving from the installed terminal that succeeded in face recognition to the next installed terminal. You can check the position of. An image including the user's face taken at the time of authentication is displayed on the screen together with a mark indicating successful authentication. On the map, the positions (A, B, C, D) of the installed terminals 400a, 400b, 400c, 400d that have succeeded in face recognition and the authentication success time (13:00, 13:10, 13:20, 14:00) is displayed. Further, the position (E) of the installed terminal 400 near the position (D) of the installed terminal 400d is also displayed. Historical information (A: 10pt, B: 30pt, C: 80pt, D: 50pt) of the acquired score is also shown. The user can browse the detailed information of each point by tapping each displayed position (A to E). Further, at the upper part of the screen, 170 pt is displayed as the current accumulated points, and 50 pt of the points required for leveling up is also shown. Characters that change or grow according to the points are also displayed. By looking at these screens, users are motivated to perform facial recognition to earn more points. Benefits can be given to the user according to the score obtained.

The location information of a plurality of users may be acquired and these location information may be output to a user terminal or an installed terminal so that each user can confirm each other's location. In that case, on the screen shown in FIG. 17, a plurality of users are displayed with different marks. Further, in FIG. 17, the distance from the current position to the next installed terminal, the distance between each installed terminal, the time required for normal walking, the direction, the route, and the like may be displayed together. An existing map service (for example, Google map (registered trademark)) may be used, and the position data of FIG. 17 may be superimposed and displayed on the map data. By doing so, it is possible to easily recognize the position of the installed terminal that has been authenticated and the position of the installed terminal that will be authenticated in the future.

In the above example, the range of the score that can be obtained is determined, but the distribution of the score that can be obtained may be determined. Further, the number of face recognitions in the past may be, for example, the number of face recognitions in the past predetermined period (for example, one month). As mentioned above, there are various types of installed terminals for face recognition (face recognition payment, entry / exit by face recognition, check-in / check-out by face recognition), but the same type of installed terminals have the same score. You may set the range. For example, an organization for regional revitalization or tourism promotion can install a plurality of installed terminals in various places to encourage users to use face recognition, such as a stamp rally. Further, there are various types of a plurality of installed terminals (for example, face authentication payment, entry / exit by face authentication, etc.), and points may be set so that the user can use a different type of face authentication service.

As a privilege given to the user, a fictitious character is set on the user terminal (for example, a smartphone). When the user uses the installed terminal, the character changes and grows. For example, a fictitious character is set in the installation terminal (in the above example, the installation terminals 400a, 400b, 400c, 400d, 400e) in a specific area. Different characters may be set depending on the location. Further, as shown in FIG. 18, the character can change and grow according to the points acquired by the installed terminal. For example, the character may be set to grow stepwise for each predetermined point (for example, 50 points). When the user performs face recognition on the installed terminal, one character may be selected from a plurality of characters that can be acquired by the installed terminal. As a result, the user is motivated to participate in the game using face recognition and to continue the game.

As another privilege given to the user, when the user uses the installed terminal, as shown in FIG. 19, a composite photograph of the character and the user can be acquired. When the user uses the face authentication function of the installed terminal, the user's face image is acquired. The character at that time is synthesized and processed on this face image. The composite photo data may be generated by the installation terminal and transmitted directly from the installation terminal to the user terminal. Alternatively, the composite photo data may be transmitted from the installed terminal to the user terminal via the face recognition promotion device. By reading the QR code (registered trademark) displayed on the installation terminal with the user terminal, the composite photo data may be taken into the user terminal. In addition, the application on the user terminal (smartphone) can acquire a photo frame of a fictitious character, and the photo frame can be used to take an arbitrary photo with the smartphone. In this way, the face image taken by face recognition can also be used as a privilege of the user. In this way, the image of one face not only enables identity verification by face recognition, but also makes it possible to acquire a composite photograph together with the character.

As another benefit given to the user, if the user registers the celebrity of interest in the system in advance and the user uses the installed terminal, goods, information (unpublished information), rights (handshake ticket, ticket) related to the celebrity are used. Priority acquisition) can be acquired. As the points earned by face recognition increase, a privilege that is more valuable to the user may be given.

As another privilege given to the user, when the user uses the installed terminal, the user can obtain coupons, points, and prizes. The coupons, points, and prizes can be used by companies participating in the authentication system.

According to the third embodiment described above, the use of face recognition can be promoted by further motivating the user to use face recognition and to continue using it. Further, by using the photographed image of the user used for face recognition as a privilege of the user, it is possible to realize a comprehensive and integrated service without a new burden on the service provider. Further, the service provider can also promote various services using face recognition (for example, face recognition payment, entry / exit by face recognition, check-in / check-out, etc.).

Embodiment 4
In the third embodiment described above, the face recognition promotion device 100a has been described as a server device, but a part of the functions of the face recognition promotion device 100a may be mounted on the installation terminal 400.

FIG. 20 is a block diagram showing the configuration of the face recognition promotion system according to the fourth embodiment. The face recognition promotion system according to the present embodiment includes an authentication device 200, a user terminal 300, and one or more installed terminals 400 (400a to 400c).

FIG. 21 is a block diagram showing the configuration of the authentication device 200 according to the fourth embodiment. In FIG. 21, the same components as those in the third embodiment are designated by the same reference numerals as those in FIG. 12, and the description thereof will be omitted as appropriate. The authentication device 200 according to the present embodiment includes personal information 218 associated with the user ID 1121. Personal information includes, for example, name, affiliation, email address, date of birth, account number, credit card number, electronic money information, payment method, purchase amount and purchase history.

FIG. 22 is a block diagram showing the configuration of the installed terminal. The installation terminal 400 according to the present embodiment has a part of the function of the control unit of the face recognition promotion device 100a according to the third embodiment. That is, the control unit 450 includes a photographing unit 451, an application 453 and a providing unit 454, and a registration unit 120a, an acquisition unit 121a, an authentication request unit 130a, a determination unit 135a, a grant unit 140a, an integration unit 150a, and an output unit 160a. .. The installation terminal 400 according to the present embodiment is a specific example of the information processing apparatus 100 according to the first or second embodiment.

The installation terminal 400 captures a user's face image and transmits the captured face image to the authentication device 200. The authentication device 200 performs a collation process using a face image. The authentication device 200 transmits personal information to the installation terminal 400 as needed. When the authentication device includes a plurality of databases, the authentication device can cooperate between the databases by using the user ID.

If the installed terminal is a gate device, the gate can be opened and closed based on the result of successful authentication from the authentication device without personal information. On the other hand, when the installed terminal is located in the hotel and has a check-in function, the check-in process can be executed from the authentication device based on the result of successful authentication and personal information.

In the above example, the program is stored using various types of non-transitory computer readable medium and can be supplied to the computer. Non-temporary computer-readable media include various types of tangible storage mediums. Examples of non-temporary computer-readable media include magnetic recording media, magneto-optical recording media (eg, magneto-optical disks), CD-ROMs (Read OnlyMemory), CD-Rs, CD-R / Ws, and semiconductor memories. The magnetic recording medium may be, for example, a flexible disk, a magnetic tape, or a hard disk drive. The semiconductor memory may be, for example, a mask ROM, a PROM (Programmable ROM), an EPROM (Erasable PROM), a flash ROM, or a RAM (Random Access Memory). The program may also be supplied to the computer by various types of transient computer readable medium. Examples of temporary computer readable media include electrical, optical, and electromagnetic waves. The temporary computer-readable medium can supply the program to the computer via a wired communication path such as an electric wire and an optical fiber, or a wireless communication path.

Note that this disclosure is not limited to the above embodiment, and can be appropriately changed without departing from the spirit. The plurality of examples described above can be carried out in combination as appropriate.

Some or all of the above embodiments may also be described, but not limited to:
(Appendix 1)
An authentication requesting unit that performs biometric authentication between the user's biometric information acquired by one installed terminal and the registered biometric information of the registered user among a plurality of installed terminals arranged in various places.
When the biometric authentication is successful, the number of times the user has performed biometric authentication in the past on the plurality of installed terminals, the purchase amount associated with the installed terminals, the previous biometric authentication success time and the current biometric authentication success. Based on the required time, which is the difference from the time, or a combination thereof, the range of the obtainable score or the distribution of the obtainable score is determined, and the width of the determined obtainable score or the obtainable score is determined. A decision-making part that randomly determines the score based on the distribution,
Information processing device equipped with.
(Appendix 2)
The information processing apparatus according to Appendix 1, further comprising an integration unit that integrates a plurality of scores determined by the success of the biometric authentication in the plurality of installed terminals for the user.
(Appendix 3)
The information processing apparatus according to Supplementary Note 1 or 2, further comprising an output unit that outputs a privilege to the user according to the score.
(Appendix 4)
The biometric authentication is a face authentication for collating a user's face image taken by the camera of the installation terminal with a registered user's face image.
The information processing device according to Appendix 3, wherein the privilege for the user is a photographed face image of the user that has been subjected to predetermined processing.
(Appendix 5)
The information processing apparatus according to Appendix 4, wherein the predetermined processing is to synthesize a character that changes or grows according to the score into the photographed face image of the user.
(Appendix 6)
Further provided with an acquisition unit for acquiring the user's position information from the user terminal possessed by the user.
The information processing device according to Appendix 3, wherein the output unit outputs map information indicating the position of one or more of the plurality of installed terminals to the user terminal together with the position information of the user.
(Appendix 7)
With a camera to shoot the user,
The information processing device according to any one of Supplementary note 1 to 6 and the information processing apparatus.
It is equipped with a location information acquisition unit that acquires the location information of the user terminal, and the user terminal owned by the user and the user terminal.
A face recognition promotion system including an authentication device that executes a collation process with a pre-registered registered image for a photographed user's face image.
(Appendix 8)
Biometric authentication is performed between the biometric information of the user acquired by one of the installed terminals arranged in various places and the registered biometric information of the registered user.
When the biometric authentication is successful, the number of times the biometric authentication has been performed for the user in the past, the purchase amount associated with the installed terminal, and the difference between the previous biometric authentication success time and the current biometric authentication success time are required. The width of the obtainable score or the distribution of the obtainable score is determined based on the time or a combination thereof, and randomly based on the determined width of the obtainable score or the distribution of the obtainable score. Information processing method that determines the score.
(Appendix 9)
A process of performing biometric authentication between the user's biometric information acquired by one installed terminal and the registered biometric information of the registered user among a plurality of installed terminals arranged in various places.
When the biometric authentication is successful, the number of times the biometric authentication has been performed for the user in the past, the purchase amount associated with the installed terminal, and the difference between the previous biometric authentication success time and the current biometric authentication success time are required. The width of the obtainable score or the distribution of the obtainable score is determined based on the time or a combination thereof, and randomly based on the determined width of the obtainable score or the distribution of the obtainable score. The process of determining the score and
A non-temporary computer-readable medium in which a program is stored that causes the computer to perform operations including.

10a Control unit 100 Information processing device 100a Face recognition promotion device 110 Storage unit 111 Program 112 User information 113 Terminal information 120 Registration request unit 120a Registration unit (registration request unit)
121 Acquisition part 130 Authentication request part 135 Decision part 140 Grant part 150 Integration part 160 Output part 170 Providing part 200 Authentication device 210 Face information DB
220 Face detection unit 230 Feature point extraction unit 240 Registration unit 250 Authentication unit 300 User terminal 310 Camera 320 Storage unit 330 Communication unit 340 Display unit 350 Control unit 351 Imaging unit 352 Registration request unit 353 Application 354 Location information acquisition unit 400 Installation terminal 410 Camera 420 Storage unit 430 Communication unit 440 Display unit 450 Control unit 451 Imaging unit 452 Registration request unit 453 Application 454 Provision unit 500 Network

Claims (9)

1. An authentication requesting unit that performs biometric authentication between the user's biometric information acquired by one installed terminal and the registered biometric information of the registered user among a plurality of installed terminals arranged in various places.
   When the biometric authentication is successful, the number of times the user has performed biometric authentication in the past on the plurality of installed terminals, the purchase amount associated with the installed terminals, the previous biometric authentication success time and the current biometric authentication success. Based on the required time, which is the difference from the time, or a combination thereof, the range of the obtainable score or the distribution of the obtainable score is determined, and the width of the determined obtainable score or the obtainable score is determined. A decision-making part that randomly determines the score based on the distribution,
   Information processing device equipped with.
2. The information processing device according to claim 1, further comprising an integration unit that integrates a plurality of scores determined by the success of the biometric authentication of the plurality of installed terminals for the user.
3. The information processing device according to claim 1 or 2, further comprising an output unit that outputs benefits to the user according to the score.
4. The biometric authentication is a face authentication for collating a user's face image taken by the camera of the installation terminal with a registered user's face image.
   The information processing apparatus according to claim 3, wherein the privilege for the user is a photographed face image of the user that has been subjected to predetermined processing.
5. The information processing device according to claim 4, wherein the predetermined processing synthesizes a character that changes or grows according to the score into the photographed user's face image.
6. Further provided with an acquisition unit for acquiring the user's position information from the user terminal possessed by the user.
   The information processing device according to claim 3, wherein the output unit outputs map information indicating the position of one or more of the plurality of installed terminals to the user terminal together with the position information of the user.
7. With a camera to shoot the user,
   The information processing apparatus according to any one of claims 1 to 6 and the information processing apparatus.
   It is equipped with a location information acquisition unit that acquires the location information of the user terminal, and the user terminal owned by the user and the user terminal.
   A face recognition promotion system including an authentication device that executes a collation process with a pre-registered registered image for a photographed user's face image.
8. Biometric authentication is performed between the biometric information of the user acquired by one of the installed terminals arranged in various places and the registered biometric information of the registered user.
   When the biometric authentication is successful, the number of times the biometric authentication has been performed for the user in the past, the purchase amount associated with the installed terminal, and the difference between the previous biometric authentication success time and the current biometric authentication success time are required. The range of available scores or the distribution of available scores is determined based on time or a combination thereof, and the scores are randomly determined based on the determined range of available scores or the distribution of available scores. Information processing method to determine.
9. A process of performing biometric authentication between the user's biometric information acquired by one installed terminal and the registered biometric information of the registered user among a plurality of installed terminals arranged in various places.
   When the biometric authentication is successful, the number of times the biometric authentication has been performed for the user in the past, the purchase amount associated with the installed terminal, and the difference between the previous biometric authentication success time and the current biometric authentication success time are required. The range of available scores or the distribution of available scores is determined based on time or a combination thereof, and the scores are randomly determined based on the determined range of available scores or the distribution of available scores. And the process of determining
   A non-temporary computer-readable medium in which a program is stored that causes the computer to perform operations including.

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