WO2023181272A1 - 情報処理装置、情報処理方法、及び記録媒体 - Google Patents

情報処理装置、情報処理方法、及び記録媒体 Download PDF

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Publication number
WO2023181272A1
WO2023181272A1 PCT/JP2022/014022 JP2022014022W WO2023181272A1 WO 2023181272 A1 WO2023181272 A1 WO 2023181272A1 JP 2022014022 W JP2022014022 W JP 2022014022W WO 2023181272 A1 WO2023181272 A1 WO 2023181272A1
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Prior art keywords
score
reference data
information processing
integrated
processing device
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English (en)
French (fr)
Japanese (ja)
Inventor
利之 指原
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NEC Corp
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NEC Corp
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Priority to JP2024509589A priority Critical patent/JP7845457B2/ja
Priority to PCT/JP2022/014022 priority patent/WO2023181272A1/ja
Priority to US18/838,668 priority patent/US20250148065A1/en
Publication of WO2023181272A1 publication Critical patent/WO2023181272A1/ja
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00—Information sensed or collected by the things
    • G16Y20/40—Information sensed or collected by the things relating to personal data, e.g. biometric data, records or preferences

Definitions

  • This disclosure relates to the technical field of information processing devices, information processing methods, and recording media.
  • Patent Document 1 discloses that a result of face authentication and a result of iris authentication are integrated to output a comprehensive authentication result that takes two authentication processes into consideration.
  • Patent Document 2 discloses that a matching score calculated by a first matching section and a matching score calculated by a second matching section are integrated to output an integrated matching score.
  • Patent Document 3 discloses that a calculation using a weighting variable m is performed on judgment results a and b of authentication judgments based on authentication methods A and B to make a final judgment.
  • This disclosure aims to improve the techniques disclosed in prior art documents.
  • One aspect of the information processing device of this disclosure includes a first score acquisition unit that acquires a first score indicating an authentication score of first biometric authentication using first biometric information of a target; a second score acquisition means for acquiring a second score indicating an authentication score of the second biometric authentication to be used; a reference data acquisition means for acquiring reference data regarding at least one of the first biometric authentication and the second biometric authentication; An integrated score calculation means for calculating an integrated score based on the first score, the second score, and the reference data.
  • One aspect of the information processing method of this disclosure is to obtain, by at least one computer, a first score indicating an authentication score of first biometric authentication using first biometric information of a target, and to obtain second biometric information of the target. obtaining a second score indicating an authentication score of the second biometric authentication to be used, obtaining reference data regarding at least one of the first biometric authentication and the second biometric authentication, and obtaining the first score and the second score; An integrated score is calculated based on the reference data.
  • One aspect of the recording medium of this disclosure is to acquire, in at least one computer, a first score indicating an authentication score of first biometric authentication using first biometric information of a target, and to use second biometric information of the target.
  • a second score indicating an authentication score of the second biometric authentication is obtained, reference data regarding at least one of the first biometric authentication and the second biometric authentication is obtained, and the first score, the second score, and the A computer program is recorded for executing an information processing method for calculating an integrated score based on reference data.
  • FIG. 1 is a block diagram showing a hardware configuration of an information processing device according to a first embodiment.
  • FIG. 1 is a block diagram showing a functional configuration of an information processing device according to a first embodiment.
  • 3 is a flowchart showing the flow of operations of the information processing apparatus according to the first embodiment.
  • FIG. 2 is a block diagram showing the functional configuration of an information processing device according to a second embodiment.
  • FIG. 3 is a block diagram showing the functional configuration of an information processing device according to a third embodiment.
  • 12 is a flowchart showing the flow of operations of the information processing apparatus according to the fourth embodiment. It is a flowchart which shows the flow of operation of the information processing device concerning a 5th embodiment.
  • FIG. 1 is a block diagram showing a hardware configuration of an information processing device according to a first embodiment.
  • FIG. 1 is a block diagram showing a functional configuration of an information processing device according to a first embodiment.
  • 3 is a flowchart showing the flow of operations of the information processing apparatus according to
  • FIG. 7 is a block diagram showing the functional configuration of an information processing device according to a sixth embodiment.
  • 13 is a flowchart showing the flow of operations of the information processing apparatus according to the sixth embodiment. It is a flowchart which shows the flow of operation of the information processing device concerning a 7th embodiment.
  • 12 is a flowchart showing the flow of operations of the information processing apparatus according to the eighth embodiment. 12 is a flowchart showing the flow of operations of the information processing apparatus according to the ninth embodiment.
  • 10 is a flowchart showing the flow of operations of the information processing apparatus according to the tenth embodiment. It is a table showing an example of reference data used in the information processing device according to the eleventh embodiment and past integrated scores calculated from the reference data.
  • FIG. 11 is a graph showing an example of a person's histogram and another person's histogram used in the information processing apparatus according to the eleventh embodiment.
  • FIG. 7 is a block diagram showing the functional configuration of an information processing device according to a twelfth embodiment. 12 is a flowchart showing the flow of operations of the information processing apparatus according to the twelfth embodiment.
  • FIG. 7 is a block diagram showing the functional configuration of an information processing device according to a thirteenth embodiment. 13 is a flowchart showing the flow of operations of the information processing apparatus according to the thirteenth embodiment.
  • FIG. 1 is a block diagram showing the hardware configuration of an information processing apparatus according to the first embodiment.
  • the information processing device 10 includes a processor 11, a RAM (Random Access Memory) 12, a ROM (Read Only Memory) 13, and a storage device 14.
  • the information processing device 10 may further include an input device 15 and an output device 16.
  • the above-described processor 11, RAM 12, ROM 13, storage device 14, input device 15, and output device 16 are connected via a data bus 17.
  • the processor 11 reads a computer program.
  • the processor 11 is configured to read a computer program stored in at least one of the RAM 12, ROM 13, and storage device 14.
  • the processor 11 may read a computer program stored in a computer-readable recording medium using a recording medium reading device (not shown).
  • the processor 11 may obtain (that is, read) a computer program from a device (not shown) located outside the information processing device 10 via a network interface.
  • the processor 11 controls the RAM 12, the storage device 14, the input device 15, and the output device 16 by executing the loaded computer program.
  • a functional block for calculating the integrated score is implemented within the processor 11.
  • the processor 11 may function as a controller that executes various controls in the information processing device 10.
  • the processor 11 includes, for example, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an FPGA (field-programmable gate array), and a DSP (DSP). It may be configured as an ASIC (Application Specific Integrated Circuit). The processor 11 may be configured with one of these, or may be configured to use a plurality of them in parallel.
  • a CPU Central Processing Unit
  • GPU Graphics Processing Unit
  • FPGA field-programmable gate array
  • DSP DSP
  • ASIC Application Specific Integrated Circuit
  • the RAM 12 temporarily stores computer programs executed by the processor 11.
  • the RAM 12 temporarily stores data that is temporarily used by the processor 11 while the processor 11 is executing a computer program.
  • the RAM 12 may be, for example, D-RAM (Dynamic Random Access Memory) or SRAM (Static Random Access Memory). Further, instead of the RAM 12, other types of volatile memory may be used.
  • the ROM 13 stores computer programs executed by the processor 11.
  • the ROM 13 may also store other fixed data.
  • the ROM 13 may be, for example, a P-ROM (Programmable Read Only Memory) or an EPROM (Erasable Read Only Memory). Further, in place of the ROM 13, other types of nonvolatile memory may be used.
  • the storage device 14 stores data that the information processing device 10 stores for a long time.
  • Storage device 14 may operate as a temporary storage device for processor 11.
  • the storage device 14 may include, for example, at least one of a hard disk device, a magneto-optical disk device, an SSD (Solid State Drive), and a disk array device.
  • the input device 15 is a device that receives input instructions from the user of the information processing device 10.
  • the input device 15 may include, for example, at least one of a keyboard, a mouse, and a touch panel.
  • the input device 15 may be configured as a mobile terminal such as a smartphone or a tablet.
  • the input device 15 may be a device capable of inputting audio, including a microphone, for example.
  • the output device 16 is a device that outputs information regarding the information processing device 10 to the outside.
  • the output device 16 may be a display device (for example, a display) that can display information regarding the information processing device 10.
  • the output device 16 may be a speaker or the like that can output information regarding the information processing device 10 in audio.
  • the output device 16 may be configured as a mobile terminal such as a smartphone or a tablet.
  • the output device 16 may be a device that outputs information in a format other than images.
  • the output device 16 may be a speaker that outputs information regarding the information processing device 10 in audio form.
  • FIG. 1 shows an example of the information processing device 10 that includes a plurality of devices, all or part of these functions may be implemented as a single device.
  • the information processing device 10 is configured to include only the above-mentioned processor 11, RAM 12, and ROM 13, and the other components (i.e., the storage device 14, the input device 15, and the output device 16) are not included in the information processing device 10.
  • An external device connected to 10 may be provided.
  • the information processing device 10 may realize some of the calculation functions by an external device (for example, an external server, a cloud, etc.).
  • FIG. 2 is a block diagram showing the functional configuration of the information processing device according to the first embodiment.
  • the information processing device 10 includes a first score acquisition unit 110, a second score acquisition unit 120, and a reference data acquisition unit as components for realizing its functions. 130 and an integrated score calculation unit 140.
  • Each of the first score acquisition section 110, the second score acquisition section 120, the reference data acquisition section 130, and the integrated score calculation section 140 may be a processing block realized by, for example, the above-mentioned processor 11 (see FIG. 1). .
  • the first score acquisition unit 110 is configured to be able to acquire a first score indicating the authentication score of the first biometric authentication.
  • the first biometric authentication is biometric authentication using the target's first biometric information.
  • the second score acquisition unit 120 is configured to be able to acquire a second score indicating the authentication score of the second biometric authentication.
  • the second biometric authentication is biometric authentication using second biometric information of a target (that is, biometric information different from the first biometric information). Examples of the first biometric authentication and the second biometric authentication include face authentication and iris authentication.
  • the first biometric information may be obtained as information indicating a face such as a face image
  • the second biometric information may be obtained as information indicating an iris such as an iris image.
  • the first score acquisition unit 110 acquires a first score indicating an authentication score of face authentication using information indicating the face
  • the second score acquisition unit 120 performs authentication of iris authentication using information indicating the iris. What is necessary is to obtain a second score indicating the score.
  • the face authentication and iris authentication described above are just examples, and various biometric authentications may be performed using other biometric information.
  • information indicating fingerprints, veins, ear acoustics, etc. may be acquired as the first biometric information and the second biometric information, and fingerprint authentication, vein authentication, ear acoustic authentication, etc. may be performed using these biometric information. .
  • the first score acquisition unit 110 and the second score acquisition unit 120 may each acquire the first score and the second score as a result of biometric authentication performed outside the device.
  • the first score acquisition unit 110 and the second score acquisition unit 120 may perform biometric authentication themselves to acquire the first score and the second score.
  • the first score acquisition unit 110 and the second score acquisition unit 120 acquire a face image or an iris image of a target, perform biometric authentication, and acquire a first score and a second score as a result of the biometric authentication. It's fine.
  • the reference data acquisition unit 130 is configured to be able to acquire reference data.
  • the "reference data” here is data related to at least one of the first biometric authentication and the second biometric authentication, and is data used for calculating an integrated score, which will be described later. Specific examples of reference data will be described in detail in other embodiments to be described later.
  • the integrated score calculation unit 140 includes a first score acquired by the first score acquisition unit 110, a second score acquired by the second score acquisition unit 120, and reference data acquired by the reference data acquisition unit 130. It is configured so that an integrated score can be calculated based on the following.
  • the "integrated score” here is a score indicating a comprehensive authentication result that integrates the results of both the first biometric authentication and the second biometric authentication. A specific method for calculating the integrated score will be described in detail in other embodiments to be described later.
  • FIG. 3 is a flowchart showing the flow of operations of the information processing apparatus according to the first embodiment.
  • the first score acquisition unit 110 first acquires the first score indicating the authentication score of the first biometric authentication (Ste S101). Further, the second score acquisition unit 120 acquires a second score indicating the authentication score of the second biometric authentication (step S102). The first score and the second score are each output to the integrated score calculation unit 140.
  • the reference data acquisition unit 130 acquires reference data (step S103).
  • the reference data acquired by the reference data acquisition unit 130 is output to the integrated score calculation unit 140.
  • the reference data may be acquired before acquiring the first score and the second score.
  • the reference data may be acquired simultaneously in parallel with the first score and the second score.
  • the integrated score calculation unit 140 calculates the first score acquired by the first score acquisition unit 110, the second score acquired by the second score acquisition unit 120, and the reference acquired by the reference data acquisition unit 130. An integrated score is calculated based on the data (step S104). Then, the integrated score calculation unit 140 outputs the calculated integrated score (step S105).
  • the output integrated score may be used to determine the success or failure of the target biometric authentication (that is, the biometric authentication as a whole including the first biometric authentication and the second biometric authentication). For example, if the integrated score is greater than a predetermined score, it may be determined that the biometric authentication of the target is successful. Further, if the integrated score is smaller than the predetermined score, it may be determined that the target biometric authentication has failed.
  • the integrated score is calculated based on the first score, the second score, and the reference data.
  • the reference data related to biometric authentication will be taken into consideration, so the integrated score will be calculated more appropriately than when the integrated score is calculated based only on the first score and the second score. be able to.
  • FIG. 4 is a block diagram showing the functional configuration of an information processing device according to the second embodiment.
  • the same reference numerals are given to the same elements as those shown in FIG. 2.
  • the information processing device 10 includes a first score acquisition section 110, a second score acquisition section 120, and a reference data acquisition section as components for realizing its functions. 130, an integrated score calculation section 140, and a past data storage section 210. That is, the information processing device 10 according to the second embodiment further includes a past data storage section 210 in addition to the configuration of the first embodiment (see FIG. 2).
  • the past data storage unit 210 may be realized, for example, by the storage device 14 described above (see FIG. 1).
  • the past data storage unit 210 stores at least one of authentication scores (i.e., first score, second score, and integrated score) obtained in past first biometric authentication and second biometric authentication, and authentication results based on the integrated score. It is configured so that one can be memorized.
  • the authentication result may include information including whether or not the authentication result is a correct result. For example, if the authentication result is incorrect, it may include correction information for correcting the result.
  • the modification information may be added manually, for example.
  • the past data storage unit 210 may be capable of storing authentication scores and authentication results obtained through first biometric authentication and second biometric authentication of multiple people. Further, the past data storage unit 210 may be capable of storing multiple times of authentication scores and authentication results obtained by the first biometric authentication and the second biometric authentication of the same person.
  • the authentication score stored in the past data storage section 210 can be read out by the reference data acquisition section 130 as appropriate. That is, the reference data according to the present embodiment includes the authentication scores and authentication results obtained in the past first biometric authentication and second biometric authentication, which are stored in the past data storage unit 210. Note that the reference data may include a plurality of authentication scores and authentication results.
  • At least one of the first score, second score, and integrated score acquired in the past is used as reference data.
  • the results of biometric authentication performed in the past are taken into consideration, so the integrated score can be calculated more appropriately than when only the current authentication results are used.
  • ⁇ Third embodiment> An information processing device 10 according to a third embodiment will be described with reference to FIG. 5. Note that the third embodiment differs from the first and second embodiments described above only in part of the configuration and operation, and may be the same as the first and second embodiments in other parts. Therefore, in the following, parts that are different from each of the embodiments already described will be described in detail, and descriptions of other overlapping parts will be omitted as appropriate.
  • FIG. 5 is a block diagram showing the functional configuration of an information processing device according to the third embodiment. Note that in FIG. 5, the same reference numerals are given to the same elements as those shown in FIG. 2.
  • the information processing device 10 includes a first score acquisition unit 110, a second score acquisition unit 120, and a reference data acquisition unit as components for realizing its functions. 130, an integrated score calculation section 140, and an other machine data storage section 220. That is, the information processing apparatus 10 according to the third embodiment further includes an other device data storage section 220 in addition to the configuration of the first embodiment (see FIG. 2).
  • the other device data storage unit 220 may be realized, for example, by the storage device 14 described above (see FIG. 1).
  • the other device data storage unit 220 stores the authentication information obtained through the first biometric authentication and the second biometric authentication performed at a location different from the location of the information processing device 10 (that is, the location where the information processing device 10 is operated). It is configured to be able to store scores and authentication results (that is, authentication scores and authentication results obtained by another device different from the information processing device 10 according to the present embodiment).
  • the “location of the information processing device 10” here is not only a location where the information processing device 10 is installed, but also a location where a part of the information processing device 10 is installed, or a location where the information processing device 10 is installed. It may be a place where all of them are installed.
  • the authentication result may include information including whether or not the authentication result is a correct result, as in the case described in the second embodiment. For example, if the authentication result is incorrect, it may include correction information for correcting the result.
  • the modification information may be provided, for example, by a person operating a device or the like (via a device or the like).
  • the other device data storage unit 220 may be able to store authentication scores obtained at multiple locations.
  • the authentication score stored in the other device data storage section 220 can be read out by the reference data acquisition section 130 as appropriate. That is, the reference data according to the present embodiment is the authentication score acquired in the first biometric authentication and the second biometric authentication performed at another location, which is stored in the other device data storage unit 220. Note that the reference data may include a plurality of authentication scores.
  • At least one of the first score, second score, and integrated score obtained by another device is used as reference data. .
  • the results of biometric authentication performed at another location will be taken into account, allowing for a more appropriate integrated score to be calculated compared to using only the authentication results from current devices. I can do it.
  • ⁇ Fourth embodiment> An information processing device 10 according to a fourth embodiment will be described with reference to FIG. 6. Note that the fourth embodiment differs from the third embodiment described above only in some operations, and other parts may be the same as the first to third embodiments. Therefore, in the following, parts that are different from each of the embodiments already described will be described in detail, and descriptions of other overlapping parts will be omitted as appropriate.
  • FIG. 6 is a flowchart showing the flow of operations of the information processing apparatus according to the fourth embodiment. Note that in FIG. 6, processes similar to those shown in FIG. 3 are given the same reference numerals.
  • the first score acquisition unit 110 first acquires the first score indicating the authentication score of the first biometric authentication (Ste S101). Further, the second score acquisition unit 120 acquires a second score indicating the authentication score of the second biometric authentication (step S102). The first score and the second score are each output to the integrated score calculation unit 140.
  • the reference data acquisition unit 130 acquires reference data.
  • the reference data acquisition unit 130 here particularly collects reference data (hereinafter appropriately referred to as “machine reference data") acquired at the current location (that is, the information processing apparatus 10 according to the present embodiment) and the reference data that has already been acquired.
  • the reference data (hereinafter referred to as “other device reference data”) acquired at another location (that is, another device) as described in the third embodiment is acquired (step S501).
  • the reference data acquired by the reference data acquisition unit 130 is output to the integrated score calculation unit 140.
  • the integrated score calculation unit 140 sets weights regarding the reference data. Specifically, the integrated score calculation unit 140 sets the weight of the device reference data to be greater than the weight of the other device reference data (step S502).
  • the machine reference data is data acquired at the current location, so it is more suitable for use in calculating the integrated score than data acquired at another location (i.e., other machine reference data). It is thought that Therefore, here, the weight of the device reference data is set to be greater than the weight of the other device reference data.
  • the integrated score calculation unit 140 calculates the first score acquired by the first score acquisition unit 110, the second score acquired by the second score acquisition unit 120, and the reference acquired by the reference data acquisition unit 130. Calculate an integrated score based on the data.
  • the integrated score calculation unit 140 calculates the integrated score, particularly taking into account the above-mentioned weights (step S503). Therefore, the machine reference data that is set with a large weight contributes relatively greatly when calculating the integrated score, and the other machine reference data that is set with a small weight makes a relatively large contribution when calculating the integrated score. makes a small contribution to Thereafter, the integrated score calculation unit 140 outputs the calculated integrated score (step S105).
  • the weight of the device reference data is greater than the weight of the other device reference data. be done. In this way, the influence of this machine's reference data is relatively increased (in other words, the influence of other machine's reference data is relatively small), so it is possible to calculate the integrated score more appropriately. .
  • ⁇ Fifth embodiment> An information processing device 10 according to a fifth embodiment will be described with reference to FIG. 7. Note that the fifth embodiment differs from the third and fourth embodiments described above only in some operations, and other parts may be the same as the first to fourth embodiments. Therefore, in the following, parts that are different from each of the embodiments already described will be described in detail, and descriptions of other overlapping parts will be omitted as appropriate.
  • FIG. 7 is a flowchart showing the flow of operations of the information processing apparatus according to the fifth embodiment. Note that in FIG. 7, processes similar to those shown in FIG. 3 are given the same reference numerals.
  • the first score acquisition unit 110 first acquires the first score indicating the authentication score of the first biometric authentication (Ste S101). Further, the second score acquisition unit 120 acquires a second score indicating the authentication score of the second biometric authentication (step S102). The first score and the second score are each output to the integrated score calculation unit 140.
  • the reference data acquisition unit 130 acquires reference data.
  • the reference data acquisition unit 130 here particularly acquires other device reference data acquired at a plurality of locations (step S601).
  • the other device reference data here includes similar reference data obtained at another location where the degree of similarity to the current location is higher than a predetermined value, and similar reference data obtained at another location where the degree of similarity to the current location is higher than the predetermined value. and dissimilar reference data obtained in .
  • the "predetermined value” here is a threshold value that is set in advance to determine whether the current location and another location are similar to each other.
  • similar means that the factors that can influence the biometric authentication results are similar. For example, data acquired in a place where the environmental conditions (e.g.
  • the reference data acquired by the reference data acquisition unit 130 is output to the integrated score calculation unit 140.
  • the integrated score calculation unit 140 sets weights regarding the reference data. Specifically, the integrated score calculation unit 140 sets the weight of similar reference data to be greater than the weight of dissimilar reference data (step S602).
  • similar reference data is data acquired at a location similar to the current location, so it is used to calculate the integrated score rather than data acquired at a dissimilar location (i.e., dissimilar reference data). It is considered suitable as data. Therefore, here, the weight of similar reference data is set to be greater than the weight of dissimilar reference data.
  • the integrated score calculation unit 140 calculates the first score acquired by the first score acquisition unit 110, the second score acquired by the second score acquisition unit 120, and the reference acquired by the reference data acquisition unit 130. Calculate an integrated score based on the data.
  • the integrated score calculation unit 140 calculates the integrated score, particularly taking into account the above-mentioned weights (step S603). Therefore, similar reference data that is given a large weight contributes relatively greatly when calculating the integrated score, and dissimilar reference data that is given a small weight makes a relatively large contribution when calculating the integrated score. Make a small contribution. Thereafter, the integrated score calculation unit 140 outputs the calculated integrated score (step S105).
  • the weight of the similar reference data is made larger than the weight of the dissimilar reference data. .
  • the influence of similar reference data is relatively increased (in other words, the influence of dissimilar reference data is relatively decreased), so it is possible to calculate the integrated score more appropriately.
  • FIGS. 8 and 9 An information processing device 10 according to a sixth embodiment will be described with reference to FIGS. 8 and 9. Note that the sixth embodiment differs from the first to fifth embodiments described above only in part of the configuration and operation, and may be the same as the first to fifth embodiments in other parts. Therefore, in the following, parts that are different from each of the embodiments already described will be described in detail, and descriptions of other overlapping parts will be omitted as appropriate.
  • FIG. 8 is a block diagram showing the functional configuration of an information processing device according to the sixth embodiment.
  • the same reference numerals are given to the same elements as those shown in FIG. 2.
  • the information processing device 10 includes a first score acquisition unit 110, a second score acquisition unit 120, and a reference data acquisition unit as components for realizing its functions. 130 and an integrated score calculation unit 140.
  • the integrated score calculation section 140 according to the sixth embodiment includes a specific gravity value determination section 145.
  • the specific gravity value determining unit 145 is configured to be able to determine a specific gravity value corresponding to at least one of the first score and the second score.
  • the specific gravity value determination unit 145 is configured to determine a specific gravity value using reference data. A specific method for determining the specific gravity value will be described in detail in other embodiments to be described later.
  • the specific weight value is a value indicating how much each of the first score and second score is taken into consideration when calculating the integrated score. Therefore, the integrated score calculation unit 140 according to the present embodiment is configured to calculate the integrated score based on the first score, the second score, and the specific gravity value determined by the specific gravity value determination unit 145. ing.
  • FIG. 9 is a flowchart showing the flow of operations of the information processing apparatus according to the sixth embodiment. Note that in FIG. 9, processes similar to those shown in FIG. 3 are given the same reference numerals.
  • the first score acquisition unit 110 first acquires the first score indicating the authentication score of the first biometric authentication (Ste S101). Further, the second score acquisition unit 120 acquires a second score indicating the authentication score of the second biometric authentication (step S102). The first score and the second score are each output to the integrated score calculation unit 140.
  • the reference data acquisition unit 130 acquires reference data (step S103).
  • the reference data acquired by the reference data acquisition unit 130 is output to the integrated score calculation unit 140.
  • the reference data is output to the weight value determination unit 145 in the integrated score calculation unit 140.
  • the specific gravity value determination unit 145 determines the specific gravity value using the reference data (step S701). Then, the integrated score calculation unit 140 calculates the first score acquired by the first score acquisition unit 110, the second score acquired by the second score acquisition unit 120, and the specific gravity value determined by the specific gravity value determination unit 145. An integrated score is calculated based on (step S702). Thereafter, the integrated score calculation unit 140 outputs the calculated integrated score (step S105).
  • the specific gravity values corresponding to the first score and the second score are determined based on the reference data.
  • the integrated score can be easily and appropriately calculated using the first score, the second score, and the specific gravity value. More specifically, by using the specific weight value, the integrated score can be calculated appropriately by considering the degree of influence of each of the first score and the second score (i.e., how much is reflected in the integrated score). I can do it.
  • FIG. 10 is a flowchart showing the flow of operations of the information processing apparatus according to the seventh embodiment. Note that in FIG. 10, processes similar to those shown in FIG. 3 are given the same reference numerals.
  • the first score acquisition unit 110 first acquires the first score indicating the authentication score of the first biometric authentication (Ste S101). Further, the second score acquisition unit 120 acquires a second score indicating the authentication score of the second biometric authentication (step S102). The first score and the second score are each output to the integrated score calculation unit 140.
  • the reference data acquisition unit 130 acquires reference data (step S103).
  • the reference data acquired by the reference data acquisition unit 130 is output to the integrated score calculation unit 140.
  • the reference data is output to the weight value determination unit 145 in the integrated score calculation unit 140.
  • the specific gravity value determination unit 145 determines the first specific gravity value and the second specific gravity value using the reference data (step S801).
  • the first specific gravity value is a specific gravity value corresponding to the first score.
  • the second specific gravity value is a specific gravity value corresponding to the second score. That is, in this embodiment, two specific gravity values corresponding to each of the first score and the second score are determined.
  • the integrated score calculation section 140 calculates the first score obtained by the first score obtaining section 110, the second score obtained by the second score obtaining section 120, and the second score determined by the specific gravity value determining section 145.
  • An integrated score is calculated based on the first specific gravity value and the second specific gravity value (step S802). Specifically, the integrated score calculation unit 140 corrects the first score with the first specific gravity value, corrects the second score with the second specific gravity value, and calculates the integrated score. Thereafter, the integrated score calculation unit 140 outputs the calculated integrated score (step S105).
  • first specific gravity value m and the second specific gravity value n have been determined in the specific gravity value determination unit 145.
  • m and n may be set depending on the ranges of the corresponding first score and second score.
  • the integrated score can be calculated as in the following calculation formula (1).
  • Integrated score m x 1st score + n x 2nd score...(1) Note that the above calculation formula is just an example, and the integrated score may be calculated using other methods.
  • a first specific gravity value corresponding to the first score and a second specific gravity value corresponding to the second score are determined.
  • the integrated score can be easily and appropriately calculated using the first score, the second score, the first specific gravity value, and the second specific gravity value.
  • FIG. 11 An information processing device 10 according to an eighth embodiment will be described with reference to FIG. 11. Note that the eighth embodiment differs from the sixth and seventh embodiments described above only in some operations, and other parts may be the same as the first to seventh embodiments. Therefore, in the following, parts that are different from each of the embodiments already described will be described in detail, and descriptions of other overlapping parts will be omitted as appropriate.
  • FIG. 11 is a flowchart showing the flow of operations of the information processing apparatus according to the eighth embodiment. Note that in FIG. 11, processes similar to those shown in FIG. 9 are given the same reference numerals.
  • the first score acquisition unit 110 first acquires the first score indicating the authentication score of the first biometric authentication (Ste S101). Further, the second score acquisition unit 120 acquires a second score indicating the authentication score of the second biometric authentication (step S102). The first score and the second score are each output to the integrated score calculation unit 140.
  • the reference data acquisition unit 130 acquires reference data (step S103).
  • the reference data acquired by the reference data acquisition unit 130 is output to the integrated score calculation unit 140.
  • the reference data is output to the weight value determination unit 145 in the integrated score calculation unit 140.
  • the specific gravity value determination unit 145 determines the specific gravity value using the reference data. Specifically, the specific weight value determination unit 145 determines the specific weight value so that the false acceptance rate or the false rejection rate satisfies a predetermined condition (step S901).
  • the false acceptance rate and the false rejection rate here are calculated based on reference data, and are, for example, the false false acceptance rate and false rejection rate in authentication processing based on past integrated scores. Note that the predetermined conditions will be explained in detail in other embodiments to be described later.
  • the integrated score calculation unit 140 calculates the first score acquired by the first score acquisition unit 110, the second score acquired by the second score acquisition unit 120, and the specific gravity determined by the specific gravity value determination unit 145. An integrated score is calculated based on the value and (step S702). Thereafter, the integrated score calculation unit 140 outputs the calculated integrated score (step S105).
  • the weight value is determined based on the false acceptance rate or the false rejection rate. In this way, since an appropriate weight value can be determined using the false acceptance rate or the false rejection rate, the integrated score can be appropriately calculated using the first score, the second score, and the weight value.
  • ⁇ Ninth embodiment> An information processing device 10 according to a ninth embodiment will be described with reference to FIG. 12. Note that the ninth embodiment differs from the above-described eighth embodiment only in some operations, and other parts may be the same as the first to eighth embodiments. Therefore, in the following, parts that are different from each of the embodiments already described will be described in detail, and descriptions of other overlapping parts will be omitted as appropriate.
  • FIG. 12 is a flowchart showing the flow of operations of the information processing apparatus according to the ninth embodiment. Note that in FIG. 12, processes similar to those shown in FIG. 11 are given the same reference numerals.
  • the first score acquisition unit 110 first acquires the first score indicating the authentication score of the first biometric authentication (Ste S101). Further, the second score acquisition unit 120 acquires a second score indicating the authentication score of the second biometric authentication (step S102). The first score and the second score are each output to the integrated score calculation unit 140.
  • the reference data acquisition unit 130 acquires reference data (step S103).
  • the reference data acquired by the reference data acquisition unit 130 is output to the integrated score calculation unit 140.
  • the reference data is output to the weight value determination unit 145 in the integrated score calculation unit 140.
  • the weight value determination unit 145 calculates the false rejection rate when a predetermined false acceptance rate is satisfied, and determines the weight value so that the calculated false rejection rate is minimized (step S1002).
  • the "predetermined stranger acceptance rate" here may be set to a value as low as not to cause operational problems.
  • the specific gravity value determination unit 145 calculates the false rejection rate when a predetermined false acceptance rate is satisfied for all of the plurality of specific gravity values that can be determined, and integrates the specific gravity value when the false false acceptance rate is the minimum. It may be determined as a specific gravity value used for calculating the score. A more specific method for determining the specific gravity value will be described in detail in other embodiments to be described later.
  • the integrated score calculation unit 140 calculates the first score acquired by the first score acquisition unit 110, the second score acquired by the second score acquisition unit 120, and the specific gravity determined by the specific gravity value determination unit 145. An integrated score is calculated based on the value and (step S702). Thereafter, the integrated score calculation unit 140 outputs the calculated integrated score (step S105).
  • the specific weight value is determined so that the false rejection rate is minimized when a predetermined false acceptance rate is satisfied. In this way, since an appropriate weight value can be determined using the false acceptance rate and the false rejection rate, it is possible to appropriately calculate the integrated score using the first score, the second score, and the weight value.
  • ⁇ Tenth embodiment> An information processing device 10 according to a tenth embodiment will be described with reference to FIG. 13. Note that the tenth embodiment differs from the ninth embodiment described above only in some operations, and other parts may be the same as the first to ninth embodiments. Therefore, in the following, parts that are different from each of the embodiments already described will be described in detail, and descriptions of other overlapping parts will be omitted as appropriate.
  • FIG. 13 is a flowchart showing the flow of operations of the information processing apparatus according to the tenth embodiment. Note that in FIG. 13, processes similar to those shown in FIG. 12 are given the same reference numerals.
  • the first score acquisition unit 110 first acquires the first score indicating the authentication score of the first biometric authentication (Ste S101). Further, the second score acquisition unit 120 acquires a second score indicating the authentication score of the second biometric authentication (step S102). The first score and the second score are each output to the integrated score calculation unit 140.
  • the reference data acquisition unit 130 acquires reference data (step S103).
  • the reference data acquired by the reference data acquisition unit 130 is output to the integrated score calculation unit 140.
  • the reference data is output to the weight value determination unit 145 in the integrated score calculation unit 140.
  • the specific gravity value determination unit 145 generates a score distribution using the reference data (step S1101). Specifically, the weight value determining unit 145 calculates the integrated score of the pair of individuals (i.e., the integrated score when the target image and the registered image of the target individual are compared) and the integrated score of the other person's pair (i.e., , an integrated score when comparing the target image and another person's registered image).
  • the weight value determination unit 145 uses the generated score distribution to calculate the false rejection rate when a predetermined false acceptance rate is satisfied, and determines the weight value so that the calculated false rejection rate is minimized. (Step S1102).
  • a specific method for determining the specific gravity value using the score distribution will be described in detail in other embodiments to be described later.
  • the integrated score calculation unit 140 calculates the first score acquired by the first score acquisition unit 110, the second score acquired by the second score acquisition unit 120, and the specific gravity determined by the specific gravity value determination unit 145. An integrated score is calculated based on the value and (step S702). Thereafter, the integrated score calculation unit 140 outputs the calculated integrated score (step S105).
  • the distribution of integrated scores of the user pair and the other person pair is generated, and the specific weight value is determined based on the score distribution.
  • the integrated score can be appropriately calculated using the first score, the second score, and the specific weight value.
  • FIG. 14 is a table showing an example of reference data used in the information processing apparatus according to the eleventh embodiment and past integrated scores calculated from the reference data.
  • the information processing device 10 uses the person's score (i.e., the first score and the second score of the person's pair) and the other person's score (i.e., the second person's score of the other person's pair) as reference data. 1 score and a second score) are obtained. As the other person's score, the scores of n persons from the other person 1 score to the other person n score are obtained. Each score is obtained k times. Note that here, a face recognition score is acquired as an example of the first score. Further, as an example of the second score, an iris authentication score is acquired.
  • the weight value determination unit 145 calculates the integrated score of the person pair and the integrated score of the other person pair by multiplying the above-mentioned person score and other person's score by a weight value (more precisely, the candidate weight value). Then, the score distribution of the principal pair is calculated from the integrated score of the principal pair, and the score distribution of the principal pair is generated from the integrated score of the other person's pair.
  • FIG. 15 is a graph showing an example of the personal histogram and the other person's histogram used in the information processing apparatus according to the eleventh embodiment.
  • the information processing device 10 determines the specific gravity value using a person's histogram showing the score distribution of the person's pair and an other person's histogram showing the score distribution of the other person's pair.
  • the stranger acceptance rate i.e., the ratio of the stranger acceptance number to the entire histogram
  • the false rejection rate i.e., the ratio of the false rejection number to the entire histogram
  • the false rejection rate is calculated from the false false rejection number in the false histogram (that is, the portion of the false identity histogram that is less than the threshold).
  • the weight value determination unit 145 determines the weight value that minimizes the false rejection rate calculated as described above as the weight value used to calculate the integrated score. Specifically, while changing the weight value, the false rejection rate is calculated for all weight value candidates, and the weight value candidate with the lowest false rejection rate is used as the final weight value. decide.
  • the specific gravity value is determined using the person's histogram and the other person's histogram. In this way, it is possible to appropriately determine the weighting value that minimizes the false rejection rate when the predetermined false acceptance rate is satisfied. Therefore, an integrated score can be appropriately calculated using the first score, second score, and specific gravity value.
  • ⁇ Twelfth embodiment> The information processing device 10 according to the twelfth embodiment will be described with reference to FIGS. 16 and 17. Note that the twelfth embodiment differs from the sixth embodiment described above only in some operations, and other parts may be the same as the first to eleventh embodiments. Therefore, in the following, parts that are different from each of the embodiments already described will be described in detail, and descriptions of other overlapping parts will be omitted as appropriate.
  • FIG. 16 is a block diagram showing the functional configuration of an information processing apparatus according to the twelfth embodiment. Note that in FIG. 16, the same reference numerals are given to the same elements as those shown in FIG. 8.
  • the information processing device 10 includes a first score acquisition unit 110, a second score acquisition unit 120, and a reference data acquisition unit as components for realizing its functions. 130, an integrated score calculation section 140, a target information acquisition section 150, and an environment information acquisition section 160. That is, the information processing apparatus 10 according to the twelfth embodiment further includes a target information acquisition section 150 and an environment information acquisition section 160 in addition to the configuration of the sixth embodiment (see FIG. 8).
  • Each of the target information acquisition unit 150 and the environment information acquisition unit 160 may be a processing block implemented by, for example, the above-described processor 11 (see FIG. 1).
  • the target information acquisition unit 150 is configured to be able to acquire information regarding the targets of the first biometric authentication and the second biometric authentication (hereinafter referred to as "target information" as appropriate).
  • target information include height, gender, hairstyle, presence or absence of wearing items (for example, presence or absence of glasses or a mask), and the like.
  • the target information acquisition unit 150 may acquire target information from, for example, an image of the target.
  • the target information acquisition unit 150 may acquire target information using various sensors or communication with a user terminal.
  • the target information acquisition unit 150 may acquire the target information from information input by the target itself.
  • the environmental information acquisition unit 160 is configured to be able to acquire information regarding the environment in which the first biometric authentication and the second biometric authentication are performed (hereinafter referred to as "environmental information" as appropriate). Examples of environmental information include date, time of day, weather, lighting conditions, day of the week, number of people in the vicinity, and the like.
  • the environmental information acquisition unit 160 may acquire environmental information using various sensors, communication, and the like. Alternatively, the environmental information acquisition unit 160 may acquire the environmental information from information input by a user of the device or the like.
  • the information processing device 10 according to the twelfth embodiment may be configured to include the target information acquisition unit 150 but not include the environment information acquisition unit 160.
  • the information processing device 10 according to the twelfth embodiment may be configured to include the environment information acquisition unit 160 and not include the target information acquisition unit 150.
  • FIG. 17 is a flowchart showing the flow of operations of the information processing apparatus according to the twelfth embodiment. Note that in FIG. 17, processes similar to those shown in FIG. 9 are given the same reference numerals.
  • the first score acquisition unit 110 first acquires the first score indicating the authentication score of the first biometric authentication (Ste S101). Further, the second score acquisition unit 120 acquires a second score indicating the authentication score of the second biometric authentication (step S102). The first score and the second score are each output to the integrated score calculation unit 140.
  • the reference data acquisition unit 130 acquires reference data (step S103).
  • the reference data acquired by the reference data acquisition unit 130 is output to the integrated score calculation unit 140.
  • the reference data is output to the weight value determination unit 145 in the integrated score calculation unit 140.
  • the target information acquisition unit 150 and the environment information acquisition unit 160 each acquire target information and environment information (step S1301).
  • Each of the target information and the environment information is output to the specific gravity value determination unit 145 in the integrated score calculation unit 140.
  • the target information and the environment information may be acquired before the above-described first score, second score, and reference data. That is, the process in step S1301 may be executed one after another with the processes in steps S101 to S103, or may be executed in parallel at the same time.
  • the specific gravity value determining unit 145 determines a specific gravity value using target information and environmental information in addition to the reference data (step S1302). For example, the specific gravity value determining unit 145 may determine an appropriate specific gravity value depending on the difference between the target information and the environmental information. In other words, the specific gravity value determining unit 145 may determine different specific gravity values when the target information and the environmental information are under different conditions.
  • the integrated score calculation unit 140 calculates the first score acquired by the first score acquisition unit 110, the second score acquired by the second score acquisition unit 120, and the specific gravity determined by the specific gravity value determination unit 145. An integrated score is calculated based on the value and (step S702). Thereafter, the integrated score calculation unit 140 outputs the calculated integrated score (step S105).
  • the specific gravity value is determined based on at least one of the target information and the environmental information. In this way, since the specific gravity value is determined in consideration of the object and the environment, it is possible to appropriately calculate the integrated score using the first score, the second score, and the specific gravity value.
  • FIGS. 18 and 19 An information processing device 10 according to a thirteenth embodiment will be described with reference to FIGS. 18 and 19. Note that the thirteenth embodiment differs from the sixth embodiment described above only in some operations, and the other parts may be the same as the first to twelfth embodiments. Therefore, in the following, parts that are different from each of the embodiments already described will be described in detail, and descriptions of other overlapping parts will be omitted as appropriate.
  • FIG. 18 is a block diagram showing the functional configuration of an information processing device according to the thirteenth embodiment. Note that in FIG. 18, the same reference numerals are given to the same elements as those shown in FIG.
  • the information processing device 10 includes a first score acquisition unit 110, a second score acquisition unit 120, and a reference data acquisition unit as components for realizing its functions. 130, an integrated score calculation section 140, and a specific gravity value storage section 230. That is, the information processing device 10 according to the thirteenth embodiment further includes a specific gravity value storage section 230 in addition to the configuration of the sixth embodiment (see FIG. 8).
  • the specific gravity value storage unit 230 may be realized, for example, by the storage device 14 described above (see FIG. 1).
  • the specific gravity value storage section 230 is configured to be able to store specific gravity values determined in the past by the specific gravity value determination section 145.
  • the specific gravity value storage section 230 may store only one specific gravity value or may store a plurality of specific gravity values.
  • the specific gravity value storage section 230 may store only one specific gravity value determined immediately before, or may store specific gravity values for a predetermined number of times in the past.
  • the past specific gravity values stored in the specific gravity value storage section 230 are configured to be readable by the specific gravity value determination section 145 as appropriate.
  • the specific gravity value determination unit 145 according to the present embodiment is configured to be able to determine a new specific gravity value using the past specific gravity value read from the specific gravity value storage unit 230.
  • FIG. 19 is a flowchart showing the flow of operations of the information processing apparatus according to the thirteenth embodiment. Note that in FIG. 19, processes similar to those shown in FIG. 9 are given the same reference numerals.
  • the first score acquisition unit 110 first acquires the first score indicating the authentication score of the first biometric authentication (Ste S101). Further, the second score acquisition unit 120 acquires a second score indicating the authentication score of the second biometric authentication (step S102). The first score and the second score are each output to the integrated score calculation unit 140.
  • the reference data acquisition unit 130 acquires reference data (step S103).
  • the reference data acquired by the reference data acquisition unit 130 is output to the integrated score calculation unit 140.
  • the reference data is output to the weight value determination unit 145 in the integrated score calculation unit 140.
  • the integrated score calculation unit 140 calculates the first score acquired by the first score acquisition unit 110, the second score acquired by the second score acquisition unit 120, and the specific gravity determined by the specific gravity value determination unit 145. An integrated score is calculated based on the value and (step S702). Thereafter, the integrated score calculation unit 140 outputs the calculated integrated score (step S105).
  • a new specific gravity value is determined using the previously determined specific gravity value. In this way, rapid changes in the specific gravity value can be suppressed, and a more appropriate specific gravity value can be appropriately determined. Therefore, an integrated score can be appropriately calculated using the first score, second score, and specific gravity value.
  • Each embodiment also includes a processing method in which a program that operates the configuration of each embodiment described above is recorded on a recording medium, the program recorded on the recording medium is read as a code, and executed on a computer. Included in the category of form. That is, computer-readable recording media are also included within the scope of each embodiment. Furthermore, not only the recording medium on which the above-described program is recorded, but also the program itself is included in each embodiment.
  • each embodiment is not limited to a program that executes processing by itself as a program recorded on the recording medium, but also includes a program that operates on the OS and executes processing in collaboration with other software and functions of an expansion board. included in the category of Furthermore, the program itself may be stored on a server, and part or all of the program may be downloaded to the user terminal from the server.
  • the information processing apparatus includes a first score acquisition unit that acquires a first score indicating an authentication score of first biometric authentication using first biometric information of a target, and a second score acquisition unit that uses second biometric information of the target. 2.
  • the information processing apparatus includes an integrated score calculation unit that calculates an integrated score based on a score, the second score, and the reference data.
  • the reference data includes at least one of the first score, the second score, the integrated score, and an authentication result based on the integrated score acquired in the past.
  • the information processing device is the information processing device described in Supplementary Note 1.
  • the reference data includes the first score, the second score, and the integrated score obtained at a location different from the location where the information processing device is operated;
  • the information processing device according to supplementary note 1 or 2 which includes at least one authentication result based on an integrated score.
  • the integrated score calculation means calculates the device reference data, which is the reference data acquired by the information processing device, and a location different from the location where the information processing device is operated.
  • Supplementary note 3 when using other machine reference data which is the reference data acquired in , the weight of the main machine reference data is made larger than the weight of the other machine reference data to calculate the integrated score.
  • the integrated score calculation means calculates the similar reference data, which is the reference data obtained at another location where the degree of similarity to the location where the information processing device is operated is higher than a predetermined value.
  • data and dissimilar reference data that is the reference data acquired at another location where the degree of similarity to the location where the information processing device is operated is lower than the predetermined value, the similar reference data
  • the information processing device according to supplementary note 3 or 4, wherein the integrated score is calculated by making the weight of the dissimilar reference data larger than the weight of the dissimilar reference data.
  • the integrated score calculation means uses the reference data to determine specific gravity values corresponding to the first score and the second score, and The information processing device according to any one of Supplementary Notes 1 to 5, wherein the integrated score is calculated based on the two scores and the specific gravity value.
  • the integrated score calculation means uses the reference data to calculate a first specific gravity value corresponding to the first score, a second specific gravity value corresponding to the second score, The information processing device according to supplementary note 6, wherein the integrated score is calculated by determining the first score with the first specific gravity value, and correcting the second score with the second specific gravity value.
  • the integrated score calculation means determines the weight value using the reference data so that the false acceptance rate or the false rejection rate satisfies a predetermined condition.
  • the integrated score calculation means In the information processing device according to appendix 10, the integrated score calculation means generates the integrated score distribution of the person pair and the other person pair using the reference data, and based on the integrated score distribution, the The information processing device according to appendix 9 calculates the false rejection rate when the false acceptance rate is satisfied.
  • the integrated score calculation means calculates the percentage of the portion of the first histogram that is equal to or higher than the threshold score to the whole using a first histogram showing the distribution of the integrated scores of the other pair.
  • the threshold score is set so that the stranger acceptance rate meets the predetermined stranger acceptance rate, and using a second histogram showing the distribution of the integrated score of the person pair, the portion of the second histogram that is less than the threshold score.
  • the information processing device according to supplementary note 10 calculates the false rejection rate, which is a percentage of the total.
  • the integrated score calculation means includes, in addition to the reference data, target information that is information regarding the target, and information regarding the environment in which the first biometric authentication and the second biometric authentication are executed.
  • the information processing device according to any one of Supplementary Notes 6 to 11, wherein the specific gravity value is determined based on at least one of environmental information.
  • the information processing apparatus according to appendix 13 is the information processing apparatus according to any one of appendices 6 to 12, wherein the integrated score calculation means determines the new specific gravity value using the previously determined specific gravity value. It is a processing device.
  • At least one computer acquires a first score indicating an authentication score of a first biometric authentication using first biometric information of the target, and obtains a first score indicating an authentication score of a first biometric authentication using the second biometric information of the target. 2. Obtain a second score indicating an authentication score of biometric authentication, obtain reference data regarding at least one of the first biometric authentication and the second biometric authentication, and obtain the first score, the second score, and the reference data. This is an information processing method that calculates an integrated score based on data.
  • the recording medium according to Supplementary note 15 is configured to acquire, in at least one computer, a first score indicating an authentication score of a first biometric authentication using the first biometric information of the target, and to obtain a second score indicating the authentication score of the first biometric authentication using the second biometric information of the target. obtaining a second score indicating an authentication score of biometric authentication; obtaining reference data regarding at least one of the first biometric authentication and the second biometric authentication; and obtaining the first score, the second score, and the reference data.
  • This is a recording medium on which a computer program for executing an information processing method that calculates an integrated score based on is recorded.
  • the computer program according to supplementary note 16 acquires, in at least one computer, a first score indicating an authentication score of first biometric authentication using first biometric information of a target, and obtains a second score using second biometric information of the target. obtaining a second score indicating an authentication score of biometric authentication; obtaining reference data regarding at least one of the first biometric authentication and the second biometric authentication; and obtaining the first score, the second score, and the reference data.
  • This is a computer program that executes an information processing method that calculates an integrated score based on .
  • the information processing system includes a first score acquisition unit that acquires a first score indicating an authentication score of first biometric authentication using first biometric information of a target, and a second score acquisition unit that uses second biometric information of the target. 2.
  • a second score acquisition means for acquiring a second score indicating an authentication score of biometric authentication, a reference data acquisition means for acquiring reference data regarding at least one of the first biometric authentication and the second biometric authentication, and the first biometric authentication.
  • the information processing system includes an integrated score calculation unit that calculates an integrated score based on a score, the second score, and the reference data.
  • Information processing device 11 Processor 14 Storage device 110 First score acquisition unit 120 Second score acquisition unit 130 Reference data acquisition unit 140 Integrated score calculation unit 145 Specific gravity value determination unit 150 Target information acquisition unit 160 Environment information acquisition unit 210 Past data storage Section 220 Other machine data storage section 230 Specific gravity value storage section

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