WO2015016262A1 - 情報処理装置、認証システム、認証方法、及びプログラム - Google Patents
情報処理装置、認証システム、認証方法、及びプログラム Download PDFInfo
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- WO2015016262A1 WO2015016262A1 PCT/JP2014/070061 JP2014070061W WO2015016262A1 WO 2015016262 A1 WO2015016262 A1 WO 2015016262A1 JP 2014070061 W JP2014070061 W JP 2014070061W WO 2015016262 A1 WO2015016262 A1 WO 2015016262A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06F21/316—User authentication by observing the pattern of computer usage, e.g. typical user behaviour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/2111—Location-sensitive, e.g. geographical location, GPS
Definitions
- the present invention relates to an information processing apparatus, an authentication system, an authentication method, and a program.
- the degree of fitness is calculated by collating the face image of the person to be authenticated acquired through the imaging unit and the face feature information included in the storage unit, and the calculated degree of fitness and position information are acquired.
- a mobile phone that compares the threshold value determined based on the position information acquired by the unit and determines the success or failure of face authentication.
- An object of the present invention is to provide an information processing apparatus, an authentication system, an authentication method, and a program that improve the accuracy of personal authentication using biometric information.
- the first aspect of the present invention relates to an information processing apparatus.
- the information processing apparatus includes first acquisition means for acquiring first biological data that is biometric feature data to be collated and attribute information related to the first biometric data, and for collating the first biometric data.
- Reference data storage means for storing a plurality of second biometric data as biometric feature data to be used, reference means for comparing the first biometric data and each second biometric data, and the second biometric data Attribute information associated with each second biological data, attribute information acquired together with the first biological data, second acquisition means for acquiring the attribute information for each second biological data from the attribute information storage means for storing the attached attribute information And specifying means for specifying at least one second biometric data corresponding to the first biometric data based on the comparison result and the collation result.
- the second aspect of the present invention relates to an authentication system.
- the authentication system according to the second aspect includes an information processing device and a server.
- the information processing apparatus transmits first biometric data that is biometric feature data to be collated and attribute information related to the first biometric data, first feature data, and attribute information.
- the server refers to receiving means for receiving the first feature data and attribute information, and collation data storage means for storing a plurality of second biometric data, which is biometric feature data used for collation of the first biometric data.
- Second acquisition for acquiring attribute information for each second biological data from collation means for comparing the biological data with each second biological data, and attribute information storage means for storing attribute information associated with each second biological data And the attribute information acquired together with the first biometric data and the attribute information associated with each second biometric data, and based on the comparison result and the collation result, the first biometric data corresponding to the first biometric data is compared.
- 2 having a specifying means for specifying at least one piece of biometric data.
- the third aspect of the present invention relates to an authentication method.
- the computer acquires first biometric data that is biometric feature data to be collated and attribute information related to the first biometric data, and is used for collation of the first biometric data.
- Reference data storage means for storing a plurality of second biometric data as data is referred to, the first biometric data and each second biometric data are collated, and attribute information associated with each second biometric data is stored.
- Attribute information for each second biometric data is acquired from the attribute information storage means, the attribute information acquired together with the first biometric data is compared with the attribute information associated with each second biometric data, and the comparison result and collation And specifying at least one second biometric data corresponding to the first biometric data based on the result of.
- a program that causes at least one computer to implement the configuration of each aspect described above, or a computer-readable recording medium that records such a program. Also good.
- This recording medium includes a non-transitory tangible medium.
- the authentication accuracy of personal authentication using biometric information can be improved.
- FIG. 1 is a block diagram illustrating a processing configuration example of the information processing apparatus 10 according to the first embodiment.
- the information processing apparatus 10 identifies a person corresponding to the first biological data using information stored in the storage unit 20.
- “first biometric data” indicates biometric feature data to be collated.
- the “biological feature” for example, physical features such as a person's face, fingerprint, and vein, and behavioral features such as handwriting, voiceprint, and blinking can be used.
- the “biological feature data” may be, for example, image data or voice data indicating the above-described features, or feature amount data extracted from the image data or voice data. Good.
- the biometric feature data may be data that includes only one feature or data that includes a plurality of features.
- the storage unit 20 stores information used for collation of the first biological data.
- the storage unit 20 includes a collation data storage unit 210 and an attribute information storage unit 220.
- the collation data storage unit 210 stores a plurality of second biological data.
- the “second biometric data” is biometric feature data used for matching the first biometric data, and is already associated with a specific person. That is, it can be said that the second biometric data is legitimate biometric feature data indicating a specific person.
- the attribute information storage unit 220 stores attribute information associated with each second biological data.
- attribute information is information which shows the attribute regarding 1st biometric data or 2nd biometric data, and the kind of attribute of attribute information is not restrict
- the attribute information includes at least one of position information and time information.
- the attribute information of the first biometric data indicates a person that is not specified as an individual for the information processing apparatus 10 or an attribute relating to biometric feature data of the person.
- examples of the attribute information of the first biometric data include at least one of position information and time information at the acquisition timing of the first biometric data.
- the position, time, frequency, and the like at which the first biometric data is imaged are used as attribute information of the first biometric data.
- the time when the biometric data is acquired may be used for the attribute information of the first biometric data.
- the attribute information of the second biological data indicates an attribute at an arbitrary timing related to a person specified as an individual for the information processing apparatus 10.
- the attribute information of the second biometric data indicates the attribute related to the specific individual represented by the second biometric data
- the attribute information of the first biometric data represents the unspecified individual or the first biometric data represented by the first biometric data.
- the attribute information of the second biometric data include the position, time, frequency, and the like of the person represented by the second biometric data captured by a monitoring camera or the like.
- the attribute information associated with the second biometric data is not limited to this, and there are various items such as a product purchased by a person represented by the second biometric data, a store where the product is purchased, and the like.
- the attribute information is stored in the attribute information storage unit 220 based on, for example, input information from another external system.
- the storage unit 20 may be provided in another device located outside the information processing apparatus 10 or may be provided in the information processing apparatus 10.
- the collation data storage unit 210 and the attribute information storage unit 220 are distinguished as separate storage units, but may be integrated into one storage unit.
- the information processing apparatus 10 includes a first acquisition unit 110, a collation unit 120, a second acquisition unit 130, and a specifying unit 140.
- the first acquisition unit 110 acquires first biological data and attribute information related to the first biological data.
- the first acquisition unit 110 can, for example, capture an image showing a physical feature such as a human face by an imaging unit (not shown) such as a camera, and acquire the image data as biometric feature data.
- the 1st acquisition part 110 can also pick up an audio
- the 1st acquisition part 110 may extract the feature-value from these image data and audio
- the 1st acquisition part 110 acquires information, such as a position at the time of acquiring 1st biometric data, time, as attribute information relevant to the 1st biometric data.
- the first acquisition unit 110 may acquire time information indicating the date and time when the first biological data is acquired as attribute information related to the first biological data based on, for example, the system time of the information processing apparatus 10. it can.
- the first acquisition unit 110 for example, based on GPS (Global Positioning System) information and information on surrounding base stations, position information indicating the position of the information processing apparatus 10 when the first biological data is acquired, It can be acquired as attribute information related to the first biological data.
- GPS Global Positioning System
- another device located outside the information processing apparatus 10 includes the above-described imaging unit and sound collection unit, and the first acquisition unit 110 communicates with the other device to obtain the first biological data and the attribute. Information may be acquired.
- the collation unit 120 refers to the collation data storage unit 210 and collates the first biometric data acquired by the first acquisition unit 110 and each second biometric data stored in the collation data storage unit 210. To do. Specifically, the collation unit 120 matches the feature amount of the first biometric data with the feature amount of the second biometric data, and calculates the similarity (biometric similarity) of the biometric feature data.
- the second acquisition unit 130 acquires attribute information for each second biological data from the attribute information storage unit 220.
- the second acquisition unit 130 may acquire all attribute information associated with each second biometric data, or all associated with each second biometric data.
- attribute information only attribute information corresponding to the attribute information acquired together with the first biological data may be acquired.
- the identifying unit 140 identifies second biological data corresponding to the first biological data. Specifically, the specifying unit 140 compares the attribute information acquired together with the first biometric data and the attribute information associated with each second biometric data. Then, the specifying unit 140 specifies at least one second biometric data corresponding to the first biometric data acquired by the first acquiring unit 110 based on the result of comparison and the result of verification by the verification unit 120. Thus, the specifying unit 140 specifies the second biological data having attribute information close to the attribute information of the first biological data.
- the specifying unit 140 can specify the second biological data corresponding to the first biological data as follows.
- the identification unit 140 uses the result of comparing the attribute information of the first biometric data and the attribute information of each second biometric data, and weights the result of the collation by the collation unit 120 to correspond to the first biometric data.
- the second biometric data is specified.
- the specifying unit 140 matches the attribute information acquired together with the first biometric data with the attribute information of each of the second biometric data acquired by the second acquiring unit 130, and the similarity ( Attribute similarity) is calculated. For example, when it is assumed that the attribute information is position information, the specifying unit 140 calculates a distance between the position information acquired together with the first biological data and the position information associated with the second biological information.
- specification part 140 calculates the attribute similarity of 1st biometric data and 2nd biometric data using the function etc. from which a high attribute similarity is calculated, so that the distance is near.
- the specifying unit 140 weights the biometric similarity by using the attribute similarity itself obtained from the comparison result or a weighting coefficient according to the size of the attribute similarity. Then, the specifying unit 140 specifies the second biometric data whose weighted biometric similarity is equal to or greater than a predetermined threshold as the second biometric data corresponding to the first biometric data.
- the specifying unit 140 calculates a sum value or an average value of the biometric similarity and the attribute similarity, and corresponds the second biometric data whose calculated value is equal to or greater than a predetermined threshold to the first biometric data.
- the second biological data may be specified.
- separate threshold values are set for the biometric similarity and the attribute similarity, and the specifying unit 140 uses the first biometric data in which both the biometric similarity and the attribute similarity exceed the threshold as the first biometric data.
- the specifying unit 140 uses the second biological data corresponding to the first biological data as the second biological data having the largest value calculated based on the biological similarity and the attribute similarity without using a predetermined threshold. May be specified.
- the specifying unit 140 determines the priorities of the specified second biometric data based on the comparison result and the comparison result. You may decide.
- the specifying unit 140 of the present embodiment can determine that the higher the priority is the second biological data, the higher the biological similarity weighted according to the attribute similarity. Further, the specifying unit 140 may determine that the second biometric data having a higher attribute similarity among the second biometric data having a biometric similarity exceeding a predetermined threshold has a higher priority. By doing in this way, information processor 10 can judge the 2nd living body data with the highest possibility of corresponding to the 1st living body data.
- a priority may be set for each type of attribute information such as “location information” and “time information”.
- specification part 140 respond
- the second biometric data is specified. For example, consider a case where there are two pieces of second biological data associated with attribute information of “position information” and “time information”. In this case, as a result of comparing each first biological data with each second biological data, one second biological data has higher attribute similarity of position information than the other second biological data, and time information Assume that the attribute similarity is low.
- the specifying unit 140 determines that the former second biological data is more second biological data corresponding to the first biological data.
- FIG. 2 is a diagram conceptually illustrating a hardware configuration example of the information processing apparatus 10 in the first embodiment.
- the information processing apparatus 10 includes a CPU (Central Processing Unit) 1, a memory 2, an input / output interface (I / F) 3, a communication apparatus 4, and the like that are connected to each other via a bus 5.
- the memory 2 is a RAM (Random Access Memory), a ROM (Read Only Memory), a hard disk, a portable storage medium, or the like.
- the input / output I / F 3 can be connected to a user interface device such as a display device (not shown) or an input device (not shown).
- the communication device 4 communicates with other devices via a wired network or a wireless network.
- FIG. 2 is an example, and the hardware configuration of the information processing apparatus 10 is not limited to FIG.
- Each processing unit of the information processing apparatus 10 described above is realized, for example, by executing a program stored in the memory 2 by the CPU 1.
- the program may be installed from a portable recording medium such as a CD (Compact Disc) or a memory card or another computer on the network via the input / output I / F 3 and stored in the memory 2. Good.
- FIG. 3 is a flowchart showing the flow of processing of the information processing apparatus 10 in the first embodiment.
- the information processing apparatus 10 acquires first biological data and attribute information (S102). Then, the information processing apparatus 10 collates the first biometric data acquired in S102 with each of the plurality of second biometric data stored in the collation data storage unit 210 to calculate the biometric similarity ( S104). Then, the information processing apparatus 10 acquires attribute information associated with each of the plurality of second biological data from the attribute information storage unit 220 (S106). Then, the information processing apparatus 10 compares the attribute information acquired together with the first biometric data with the attribute information associated with each second biometric data, and calculates the attribute similarity (S108). Then, the information processing apparatus 10 uses the attribute similarity obtained as the comparison result in S108 to weight the biometric similarity obtained as the matching result in S104 (S110).
- And information processor 10 specifies the 2nd living body data corresponding to the 1st living body data based on the result of weighting (S112).
- the information processing apparatus 10 may determine the priority of the specified plurality of second biometric data based on the weighting result. Then, the information processing apparatus 10 determines that the specific person associated with the second biometric data specified here is the person corresponding to the first biometric data.
- the attribute information is acquired together with the first biological data, and the attribute information is compared with the attribute information of the second biological data. And the collation result of 1st biometric data and 2nd biometric data is examined using the comparison result, and the 2nd biometric data corresponding to the said 1st biometric data is specified.
- the attribute information sent together with the biometric feature data to be collated and the valid biometric feature data (matching biometric feature data) associated with each individual are held in association with each other.
- the specific person corresponding to the biometric feature data for matching can be specified with high accuracy by considering the comparison result with the highly reliable attribute information in addition to the matching result between the biometric feature data. it can.
- biometric feature data can be used as an ID for identifying an individual. it can.
- personal authentication can be performed simply by having the system read biometric feature data for verification without registering the user ID or password in the system or performing input for verification. It can be simplified.
- FIG. 4 is a block diagram illustrating a processing configuration example of the information processing apparatus 10 according to the second embodiment.
- the information processing apparatus 10 according to the present embodiment further includes a storage unit 150.
- the storage unit 150 uses the attribute information acquired together with the first biological data by the first acquisition unit 110 as attribute information associated with the second biological data specified by the specifying unit 140 as corresponding to the first biological data. Accumulate in the storage unit 220. When a plurality of second biometric data corresponding to the first biometric data is specified by the specifying unit 140, the storage unit 150 corresponds to the second biometric data that is most likely to correspond to the first biometric data, The attribute information acquired together with one biological data is accumulated. For example, as described in the first embodiment, the storage unit 150 uses the result of the comparison between the first biological data and the second biological data and the result of the comparison of the attribute information between the first biological data and the second biological data. Based on this, it is possible to identify the second biological data that is most likely to correspond to the first biological data.
- FIG. 5 is a flowchart showing the flow of processing of the information processing apparatus 10 in the second embodiment.
- the information processing apparatus 10 determines whether or not a plurality of second biometric data corresponding to the first biometric data has been specified in S112 (S202). When there are a plurality of second biological data corresponding to the first biological data (S202: YES), the information processing apparatus 10 identifies the second biological data that is most likely to correspond to the first biological data (S204). . Then, the information processing apparatus 10 accumulates the attribute information acquired together with the first biometric information in S102 in the attribute information storage unit 220 as attribute information associated with the second biometric data specified in S204 (S206).
- the attribute information acquired together with the first biometric data in S102 is associated with the second biometric data specified in S112.
- the information is accumulated in the attribute information storage unit 220 (S206).
- the attribute information acquired together with the first biological data is linked to the second biological data specified as the second biological data corresponding to the first biological data, and is stored in the attribute information storage unit 220. Accumulated.
- the reliability of the second biometric data can be improved. it can.
- biometric feature data first biometric data and second biometric data
- the attribute information accumulated by such automatic collection can be utilized as marketing information.
- face authentication using in-store surveillance cameras, etc.
- in-store flow line data for each customer and analyze the tendency.
- information such as the customer's age and sex can also be extracted and used by image processing.
- FIG. 6 is a block diagram illustrating a processing configuration example of the information processing apparatus 10 according to the third embodiment.
- the information processing apparatus 10 according to the present embodiment further includes a selection unit 160 and an arrangement unit 170.
- a plurality of collation data storage units 210 exist according to the attribute information classification (210-1 to 210-n in FIG. 6).
- “classification of attribute information” refers to a unit in which attribute information of a certain type is grouped based on a specific condition.
- the prefectures such as “Tokyo”, “Osaka”, “Fukuoka”, and regions such as “Kanto”, “Kinki”, “Kyushu” It can be classified into attribute information.
- the plurality of collation data storage units 210 may store the same second biometric data, or different second biometric data are stored based on the attribute information classification of the collation data storage unit 210. Also good. Further, the plurality of collation data storage units 210 may be arranged in physically different devices, or may be arranged on one device.
- the selection unit 160 selects the collation data storage unit 210 to be referred to during collation from the plurality of collation data storage units 210 based on the attribute information acquired together with the first biological data.
- the collation unit 120 refers to the collation data storage unit 210 selected by the selection unit 160 and collates the first biometric data and the second biometric data.
- the second acquisition unit 130 targets the second biometric data stored in the collation data storage unit 210 selected by the selection unit 160, and sets attribute information associated with the second biometric data as an attribute information storage unit. Obtain from 220.
- the arrangement unit 170 moves or copies the second biometric data stored in a certain collation data storage unit 210 to another collation data storage unit 210 corresponding to the attribute information associated with the second biometric data. Specifically, the arrangement unit 170 determines the characteristics of the second biometric data based on the attribute information associated with the second biometric data, and classifies the characteristics and the attribute information corresponding to the matching data storage unit 210. Based on the plurality of collation data storage units 210, the collation data storage unit 210 in which the second biometric data is to be stored is specified. Then, the placement unit 170 moves or copies the second biological data to the identified collation data storage unit 210.
- FIG. 7 is a flowchart illustrating a flow of processing in which the information processing apparatus 10 according to the third embodiment specifies second biological data corresponding to the first biological data.
- FIG. 8 is a flowchart illustrating a flow of processing in which the information processing apparatus 10 according to the third embodiment moves or copies the second biological data.
- the information processing apparatus 10 selects the collation data storage unit 210 to be referred to during collation based on the attribute information acquired together with the first biological data in S102 (S302).
- the information processing apparatus 10 refers to the collation data storage unit 210 selected in S302, and collates the first biometric data and the second biometric data.
- attribute information associated with the second biological data stored in the collation data storage unit 210 selected in S302 is acquired.
- the information processing apparatus 10 acquires attribute information associated with each second biometric data (S402). Then, the information processing apparatus 10 stores the second biometric data based on the attribute information associated with each second biometric data and the attribute information classification corresponding to the collation data storage unit 210. The unit 210 is determined (S404). Then, the information processing apparatus 10 moves or copies the second biological data to the collation data storage unit 210 determined in S404 (S406).
- the matching data storage unit 210 used at the time of matching is selected according to the attribute information acquired together with the first biological information.
- the collation data storage part 210 with high possibility that the 2nd biometric data corresponding to 1st biometric information exists can be selected as the collation data storage part 210 used at the time of collation, the 1st It becomes easy to specify the second biometric data corresponding to the one biometric data.
- the second biometric data stored in a certain collation data storage unit 210 is moved or copied to another collation data storage unit 210 in accordance with attribute information associated with the second biometric data.
- 2nd biometric data can be memorize
- the information processing apparatus 10 of the present embodiment is configured based on the information processing apparatus 10 of the first embodiment, but may further include the storage unit 150 of the second embodiment.
- the information processing apparatus 10 demonstrated the structural example which has the selection part 160 which selects the data storage part 210 for collation used at the time of collation based on the attribute information of 1st biometric data.
- the information processing apparatus 10 may not include the selection unit 160.
- the information processing apparatus 10 has a configuration in which a reference destination is switched to another collation data storage unit 210 when the second biometric data corresponding to the first biometric data cannot be specified in one collation data storage unit 210. do it.
- the information processing apparatus 10 when there is no second biometric data corresponding to the first biometric data in the pair of storage units 20, the information processing apparatus 10 sends the first biometric data and the first biometric data to the other information processing apparatus 10. The attribute information of the data is transmitted, and the other information processing apparatus 10 specifies the second biological data corresponding to the first biological data.
- FIG. 9 is a block diagram illustrating a processing configuration example of the authentication system 1000 according to the fourth embodiment.
- the authentication system 1000 is constructed based on the information processing apparatus 10 of the first embodiment.
- the client terminal 10a includes a first acquisition unit 110 and a transmission unit 180.
- the transmission unit 180 transmits the first biological data and attribute information acquired by the first acquisition unit 110 to the server 10b.
- the server 10b includes a reception unit 190, a collation unit 120, a second acquisition unit 130, and a specifying unit 140.
- the receiving unit 190 receives first biometric data and attribute information transmitted from the client terminal 10a.
- the server 10b specifies the second biometric data corresponding to the first biometric data received by the receiving unit 190, and transmits the second biometric data to the client terminal 10a.
- FIG. 10 is a sequence diagram illustrating a processing flow of the authentication system 1000 according to the fourth embodiment.
- the client terminal 10a transmits the first biometric data and attribute information acquired in S102 to the server 10b (S502).
- the server 10b specifies the second biological data corresponding to the first biological data using the received first biological data and attribute information (S104 to S112). Then, the server 10b transmits the specified second biometric data to the client terminal 10a (S504).
- the client terminal 10a and the server 10b are configured based on the information processing apparatus 10 according to the first embodiment, but the storage unit 150 according to the second embodiment or the third embodiment.
- a selection unit 160 and an arrangement unit 170 may be further included.
- FIG. 11 is a diagram illustrating a configuration example of the authentication system 1000 according to the first embodiment.
- the client terminal 10a is, for example, a mobile terminal or a surveillance camera owned by a police officer.
- An area showing a biometric feature such as a human face is cut out from an image captured by the client terminal 10a and acquired as first biometric data. Further, the position, time, and the like at which this image is captured are acquired as attribute information.
- the client terminal 10a transmits the collation request containing the acquired 1st biometric data and attribute information to the server 10b.
- “location information: Fukuoka” is acquired as attribute information.
- the server 10b specifies the second biological data corresponding to the first biological data using the received first biological data and attribute information.
- the server 10b since the attribute information received from the client terminal 10a includes “position information: Fukuoka”, the server 10b uses the collation data storage unit 210 corresponding to “position information: Fukuoka” for collation.
- the data storage unit 210 is selected.
- the second biometric data of the person A and the person B is stored in the collation data storage unit 210 corresponding to “position information: Fukuoka”.
- the biometric similarity between each second biometric data and the first biometric data received from the client terminal 10a is “67” and “68”, respectively.
- the server 10b determines the difference between the date of occurrence of the incident and the date and time when the verification request is transmitted, the average distance between the position information included in the verification request and the position information of the sighting information, the position information included in the verification request and the location where the incident occurred.
- the age estimated from the first biological data, the age estimated from the second biological data, and the like, the second biological data corresponding to the person A is the first corresponding to the current first biological data. 2 Specify as biometric data.
- the server 10b notifies the client terminal 10a that the person corresponding to the first biometric data is the person A. In this way, a suspicious person can be identified simply by transmitting biometric feature data.
- the person concerned 10a such as a mobile phone is used to take a picture of the victim's face and send the location information of the affected area to the server 10b corresponding to the attribute information. Can be identified and safety can be confirmed.
- the image taken by the surveillance camera in the store is monitored by a PC, tablet, smartphone, etc. (client terminal 10a) in the office, and the image of the person who is interested is sent to the server 10b. It can be determined whether or not the person is registered as a person requiring attention.
- FIG. 12 is a diagram illustrating a configuration example of the authentication system 1000 according to the second embodiment.
- the client terminal 10a is, for example, a terminal used by a store clerk.
- An area showing a biometric feature such as a human face is cut out from an image captured by the client terminal 10a and acquired as first biometric data. Further, the position, time, and the like at which this image is captured are acquired as attribute information.
- the client terminal 10a transmits the collation request containing the acquired 1st biometric data and attribute information to the server 10b.
- “location information: Fukuoka” is acquired as attribute information.
- the server 10b specifies the second biological data corresponding to the first biological data using the received first biological data and attribute information.
- the server 10b since the attribute information received from the client terminal 10a includes “location information: Fukuoka”, the server 10b uses the verification data storage unit 210 corresponding to “location information: Fukuoka” for verification.
- the data storage unit 210 is selected.
- the second biometric data of the person A and the person B is stored in the collation data storage unit 210 corresponding to “position information: Fukuoka”.
- the biometric similarity between each second biometric data and the first biometric data received from the client terminal 10a is “67” and “68”, respectively.
- the server 10b is estimated from the average distance between the location information included in the verification request and the location information included in the usage information, the distance between the location information included in the verification request and the member registration location, and the first biological data.
- the second biometric data corresponding to the person A is specified as the second biometric data corresponding to the first biometric data this time, in consideration of the age estimated from the second biometric data and the age estimated from the second biometric data.
- the server 10b notifies the client terminal 10a that the person corresponding to the first biometric data is the person A.
- store members can be identified only by biometric feature data. That is, in this embodiment, the biometric feature data is used in the same way as a conventional point card. In this case, since it is not necessary to issue or present a point card, management and operation become easy. It is also possible to present coupon information etc. possessed by the identified member.
- the biometric feature data can be used in the same manner as the QR code (registered trademark). Furthermore, by doing in this way, it is not necessary to separately create information such as a QR code (registered trademark), and a cost reduction effect can be expected.
- FIG. 13 is a diagram illustrating a configuration example of the authentication system 1000 according to the third embodiment.
- the process is executed as follows. First, the person A and the person B acquire each other's face image as the first biological data using the respective client terminals 10a. At this time, position information and time information are acquired as attribute information together with the first biological data.
- position information: Fukuoka” and “time information: 2013.7.5 15:05:00” are acquired as attribute information. And this 1st biometric data and attribute information are transmitted to the server 10b from each client terminal 10a.
- the server 10b determines that the person corresponding to the first biometric data is the person B. It is judged that. Then, the server 10b transmits an approval request from the person B to the client terminal 10a of the person A. In addition, the server 10b considers the matching result of the first biological data transmitted from the client terminal 10a of the person B and the attribute information stored in the attribute information storage unit 220, and the person corresponding to the first biological data is It is determined that the person A. Then, the server 10b transmits an approval request from the person B to the client terminal 10a of the person B.
- the server 10b When the approval operation is performed in each client terminal 10a, the server 10b discloses the profile information of the person B to the person A and the profile information of the person A to the person B. In this way, it is possible to provide a service for disclosing own information to each other's partners.
- FIG. 14 is a diagram illustrating a configuration example of the authentication system 1000 according to the fourth embodiment.
- the process is executed as follows. First, the user A acquires his / her face image as first biometric data using the client terminal 10a in order to perform authentication at the time of starting the application. At this time, position information and time information are acquired as attribute information together with the first biological data.
- position information: Fukuoka” and “time information: 2013.7.5 15:05:00” are acquired as attribute information. And this 1st biometric data and attribute information are transmitted to the server 10b from the client terminal 10a.
- the server 10b considers that the person corresponding to the first biometric data is the person A in view of the collation result of the first biometric data transmitted from the client terminal 10a and the attribute information stored in the attribute information storage unit 220. to decide. Then, the server 10b authenticates whether or not the person A is an authorized user of the application by referring to the access right granted to the person A. Then, when the authentication is successful, the application is activated on the client terminal 10a. In this way, it is possible to centrally manage access restrictions such as limiting users for each application.
- First acquisition means for acquiring first biometric data that is biometric feature data to be collated and attribute information related to the first biometric data;
- a collating means for collating the first biometric data with each of the second biometric data with reference to collation data storage means for storing a plurality of second biometric data that are biometric feature data used for collating the first biometric data.
- Second acquisition means for acquiring attribute information for each of the second biological data from attribute information storage means for storing attribute information associated with each of the second biological data;
- the attribute information acquired together with the first biometric data is compared with the attribute information associated with each second biometric data, and the first biometric data is handled based on the comparison result and the comparison result.
- Specifying means for specifying at least one second biological data An information processing apparatus. 2.
- the specifying means specifies at least one second biometric data corresponding to the first biometric data by weighting the result of the collation using the comparison result. 1.
- the specifying means determines the priority of the specified second biometric data based on the comparison result and the comparison result. To decide further, 1. Or 2.
- a storage unit that stores the attribute information acquired together with the first biometric data in the attribute information storage unit as attribute information associated with the specified second biometric data; 1.
- the information processing apparatus according to any one of the above. 5.
- a priority is set for each type of the attribute information
- the specifying means is configured to determine the first biological data based on a comparison result for each type of the attribute information of the first biological data and the second biological data, a priority for each type of the attribute information, and a result of the matching. Identifying at least one second biometric data corresponding to the data; 1. To 4.
- the information processing apparatus according to any one of the above. 6).
- the information processing apparatus according to any one of the above. 7).
- the information processing apparatus described in 1. 8).
- the information processing apparatus includes: First acquisition means for acquiring first biometric data that is biometric feature data to be collated and attribute information related to the first biometric data; Transmitting means for transmitting the first feature data and the attribute information; Have The server Receiving means for receiving the first feature data and the attribute information;
- Second acquisition means for acquiring attribute information for each of the second biological data from attribute information storage means for storing attribute information associated with each of the second biological data;
- the attribute information acquired together with the first biometric data is compared with the attribute information associated with each second biometric data, and the first biometric data is handled based on the comparison result and the comparison result.
- Specifying means for specifying at least one second biological data Having an authentication system.
- the specifying means specifies at least one second biometric data corresponding to the first biometric data by weighting the result of the collation using the comparison result. 8).
- the authentication system described in. 10 When the plurality of second biometric data corresponding to the first biometric data are specified, the specifying means determines the priority of the specified second biometric data based on the comparison result and the comparison result.
- the authentication system described in. 11. A storage unit that stores the attribute information acquired together with the first biometric data in the attribute information storage unit as attribute information associated with the specified second biometric data; 8).
- a priority is set for each type of the attribute information
- the specifying means is configured to determine the first biological data based on a comparison result for each type of the attribute information of the first biological data and the second biological data, a priority for each type of the attribute information, and a result of the matching. Identifying at least one second biometric data corresponding to the data; 8).
- first biometric data that is biometric feature data to be collated and attribute information related to the first biometric data
- collation data storage means for storing a plurality of second biometric data that is biometric feature data used for collating the first biometric data, collating the first biometric data with each of the second biometric data,
- attribute information for each second biometric data from attribute information storage means for storing attribute information associated with each of the second biometric data;
- the attribute information acquired together with the first biometric data is compared with the attribute information associated with each second biometric data, and the first biometric data is handled based on the comparison result and the comparison result.
- An authentication method that includes: 16.
- the computer is Identifying at least one second biometric data corresponding to the first biometric data by weighting the result of the collation using the result of the comparison; 15. Including Authentication method described in. 17.
- the computer is When a plurality of the second biometric data corresponding to the first biometric data are identified, the priority of the identified second biometric data is determined based on the comparison result and the collation result. 15. Including Or 16. Authentication method described in. 18.
- the computer is Storing the attribute information acquired together with the first biometric data in the attribute information storage means as attribute information associated with the specified second biometric data; 15. Including To 17. The authentication method as described in any one of these. 19.
- a priority is set for each type of the attribute information
- the computer is Based on a comparison result for each type of the attribute information of the first biometric data and the second biometric data, a priority for each type of the attribute information, and a result of the matching, the corresponding to the first biometric data Identifying at least one second biometric data; 15. Including To 18.
- the authentication method as described in any one of these.
- the computer is Based on the attribute information acquired together with the first biometric data, the matching data storage means to be referred to at the time of matching is selected from the plurality of matching data storage means. 15. Including To 19.
- the authentication method as described in any one of these. 21.
- the computer moves or copies the second biometric data stored in one of the collation data storage means to another collation data storage means corresponding to attribute information associated with the second biometric data, Including. Authentication method described in. 22.
- Computer First acquisition means for acquiring first biometric data that is biometric feature data to be collated and attribute information related to the first biometric data;
- a collating means for collating the first biometric data with each of the second biometric data with reference to collation data storage means for storing a plurality of second biometric data that are biometric feature data used for collating the first biometric data.
- Second acquisition means for acquiring attribute information for each second biological data from attribute information storage means for storing attribute information associated with each of the second biological data; The attribute information acquired together with the first biometric data is compared with the attribute information associated with each second biometric data, and the first biometric data is handled based on the comparison result and the comparison result.
- a priority is set for each type of the attribute information
- the specifying means is configured to determine the first biological data based on a comparison result for each type of the attribute information of the first biological data and the second biological data, a priority for each type of the attribute information, and a result of the matching. Identifying at least one second biometric data corresponding to the data; 22. To 25.
- a plurality of the collation data storage means exist according to the category of the attribute information, A selection unit that selects the collation data storage unit to be referred to during the collation from the plurality of collation data storage units based on the attribute information acquired together with the first biological data; For further functioning as 22.
- the program as described in any one of these. 28.
- the computer moves or copies the second biometric data stored in one of the collation data storage means to another collation data storage means corresponding to attribute information associated with the second biometric data.
- Arrangement means, 27 for further functioning as The program described in.
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Abstract
Description
[処理構成]
図1は、第1実施形態における情報処理装置10の処理構成例を示すブロック図である。情報処理装置10は、記憶部20に記憶されている情報を用いて、第1生体データに対応する人物を特定する。ここで、「第1生体データ」とは照合対象の生体特徴データを示す。また、「生体特徴」としては、例えば、人物の顔、指紋及び静脈といった身体的特徴や、筆跡、声紋、及びまばたきといった行動的特徴が利用できる。また「生体特徴データ」は、例えば上述したような特徴を示す画像データや音声データ等のデータそのものであってもよいし、当該画像データや音声データ等から抽出される特徴量データであってもよい。また生体特徴データは、ある1つの特徴のみが含まれるようなデータであってもよいし、複数の特徴が含まれるようなデータであってもよい。
図2は、第1実施形態における情報処理装置10のハードウェア構成例を概念的に示す図である。図2において、情報処理装置10は、バス5を介して互いに接続される、CPU(Central Processing Unit)1、メモリ2、入出力インターフェース(I/F)3、及び通信装置4等を有する。メモリ2は、RAM(Random Access Memory)、ROM(Read Only Memory)、ハードディスク、可搬型記憶媒体等である。入出力I/F3は、表示装置(不図示)や入力装置(不図示)等のようなユーザインタフェース装置と接続され得る。通信装置4は、有線ネットワークや無線ネットワークを介して他の装置と通信を行う。なお、図2は一例であり、情報処理装置10のハードウェア構成は図2に限定されない。
本実施形態における情報処理装置10の処理の流れを、図3を用いて説明する。図3は、第1実施形態における情報処理装置10の処理の流れを示すフローチャートである。
以上、本実施形態では、第1生体データと共に属性情報が取得され、その属性情報と第2生体データとの属性情報とが比較される。そして、その比較結果を用いて第1生体データと第2生体データとの照合結果が吟味され、当該第1生体データに対応する第2生体データが特定される。
本実施形態は、以下の点を除いて、第1実施形態と同様である。
図4は、第2実施形態における情報処理装置10の処理構成例を示すブロック図である。本実施形態の情報処理装置10は蓄積部150を更に有する。
本実施形態における情報処理装置10の処理の流れを、図5を用いて説明する。図5は、第2実施形態における情報処理装置10の処理の流れを示すフローチャートである。
以上、本実施形態では、第1生体データと共に取得された属性情報が、当該第1生体データに対応する第2生体データとして特定された第2生体データに紐付けられ、属性情報記憶部220に蓄積される。
本実施形態は、以下の点を除いて、第1実施形態と同様である。
図6は、第3実施形態における情報処理装置10の処理構成例を示すブロック図である。本実施形態の情報処理装置10は、選択部160及び配置部170を更に有する。また、図6に示されるように、本実施形態では、照合用データ記憶部210は属性情報の区分に応じて複数存在する(図6の210-1~210-n)。ここで「属性情報の区分」とは、ある種別の属性情報を特定の条件に基づいてグループ化した単位を言う。具体的には、例えば、属性情報が位置情報であった場合は、「東京」、「大阪」、「福岡」のような都道府県や、「関東」、「近畿」、「九州」といった地方を属性情報の区分とすることができる。複数の照合用データ記憶部210には、同一の第2生体データが記憶されていてもよいし、照合用データ記憶部210の属性情報の区分に基づいて異なる第2生体データが記憶されていてもよい。また、複数の照合用データ記憶部210は、物理的に異なる装置にそれぞれ配置されていてもよいし、1つの装置上に配置されていてもよい。
本実施形態における情報処理装置10の処理の流れを、図7及び図8を用いて説明する。図7は、第3実施形態における情報処理装置10が第1生体データに対応する第2生体データを特定する処理の流れを示すフローチャートである。図8は、第3実施形態における情報処理装置10が第2生体データを移動またはコピーする処理の流れを示すフローチャートである。
以上、本実施形態では、第1生体情報と共に取得される属性情報に応じて、照合時に用いられる照合用データ記憶部210が選択される。これにより、本実施形態によれば、第1生体情報に対応する第2生体データが存在する可能性の高い照合用データ記憶部210を照合時に用いる照合用データ記憶部210として選択できるため、第1生体データに対応する第2生体データを特定し易くなる。
上述した各実施形態の情報処理装置10の各処理部は、クライアント端末10a及びサーバ10bを含む認証システム1000として実現されてもよい。図9は、第4実施形態における認証システム1000の処理構成例を示すブロック図である。図9の例では、第1実施形態の情報処理装置10をベースとして認証システム1000が構築されている。
本実施形態における認証システム1000の処理の流れを、図10を用いて説明する。図10は、第4実施形態における認証システム1000の処理の流れを示すシーケンス図である。
以上、本実施形態のように、情報処理装置10の各処理部がクライアント端末10a及びサーバ10bに分けられて構成されていても、上述した実施形態と同様の効果を得ることができる。
本実施例では、特定の人物を照合するサービスについて説明する。図11は、実施例1における認証システム1000の構成例を示す図である。
本実施例では、ある店舗の会員を認証するサービスについて説明する。図12は、実施例2における認証システム1000の構成例を示す図である。
本実施例では情報交換サービスについて説明する。図13は、実施例3における認証システム1000の構成例を示す図である。
本実施例ではアプリ起動時の認証サービスについて説明する。図14は、実施例4における認証システム1000の構成例を示す図である。
1.照合対象の生体特徴データである第1生体データと当該第1生体データに関連する属性情報とを取得する第1取得手段と、
前記第1生体データの照合に用いる生体特徴データである第2生体データを複数記憶する照合用データ記憶手段を参照し、前記第1生体データと各々の前記第2生体データとを照合する照合手段と、
各々の前記第2生体データに紐付く属性情報を記憶する属性情報記憶手段から前記第2生体データ毎の属性情報を取得する第2取得手段と、
前記第1生体データと共に取得された属性情報と各々の前記第2生体データに紐付く属性情報とを比較し、該比較の結果及び前記照合の結果に基づいて、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する特定手段と、
を有する情報処理装置。
2.前記特定手段は、前記比較の結果を用いて前記照合の結果を重み付けすることにより、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する、
1.に記載の情報処理装置。
3.前記特定手段は、前記第1生体データに対応する前記第2生体データが複数特定された場合、前記比較の結果及び前記照合の結果に基づいて、前記特定された第2生体データの優先度を更に決定する、
1.または2.に記載の情報処理装置。
4.前記第1生体データと共に取得された属性情報を、前記特定された第2生体データに紐付く属性情報として前記属性情報記憶手段に蓄積する蓄積手段を更に有する、
1.から3.のいずれか1つに記載の情報処理装置。
5.前記属性情報の種別毎に優先度が設定されており、
前記特定手段は、前記第1生体データ及び前記第2生体データの前記属性情報の種別毎の比較結果、前記属性情報の種別毎の優先度、及び前記照合の結果に基づいて、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する、
1.から4.のいずれか1つに記載の情報処理装置。
6.前記照合用データ記憶手段は前記属性情報の区分に応じて複数存在し、
前記第1生体データと共に取得された属性情報に基づいて、前記複数の照合用データ記憶手段の中から前記照合時に参照する前記照合用データ記憶手段を選択する選択手段を更に有する、
1.から5.のいずれか1つに記載の情報処理装置。
7.一の前記照合用データ記憶手段に記憶されている前記第2生体データを、当該第2生体データに紐付く属性情報に対応する他の前記照合用データ記憶手段に移動またはコピーする配置手段を更に有する、
6.に記載の情報処理装置。
8.情報処理装置とサーバとを備え、
前記情報処理装置は、
照合対象の生体特徴データである第1生体データと当該第1生体データに関連する属性情報とを取得する第1取得手段と、
前記第1特徴データと前記属性情報とを送信する送信手段と、
を有し、
前記サーバは、
前記第1特徴データと前記属性情報とを受信する受信手段と、
前記第1生体データの照合に用いる生体特徴データである第2生体データを複数記憶する照合用データ記憶手段を参照し、前記第1生体データと各々の前記第2生体データとを照合する照合手段と、
各々の前記第2生体データに紐付く属性情報を記憶する属性情報記憶手段から前記第2生体データ毎の属性情報を取得する第2取得手段と、
前記第1生体データと共に取得された属性情報と各々の前記第2生体データに紐付く属性情報とを比較し、該比較の結果及び前記照合の結果に基づいて、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する特定手段と、
を有する認証システム。
9.前記特定手段は、前記比較の結果を用いて前記照合の結果を重み付けすることにより、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する、
8.に記載の認証システム。
10.前記特定手段は、前記第1生体データに対応する前記第2生体データが複数特定された場合、前記比較の結果及び前記照合の結果に基づいて、前記特定された第2生体データの優先度を更に決定する、
8.または9.に記載の認証システム。
11.前記第1生体データと共に取得された属性情報を、前記特定された第2生体データに紐付く属性情報として前記属性情報記憶手段に蓄積する蓄積手段を更に有する、
8.から10.のいずれか1つに記載の認証システム。
12.前記属性情報の種別毎に優先度が設定されており、
前記特定手段は、前記第1生体データ及び前記第2生体データの前記属性情報の種別毎の比較結果、前記属性情報の種別毎の優先度、及び前記照合の結果に基づいて、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する、
8.から11.のいずれか1つに記載の認証システム。
13.前記照合用データ記憶手段は前記属性情報の区分に応じて複数存在し、
前記第1生体データと共に取得された属性情報に基づいて、前記複数の照合用データ記憶手段の中から前記照合時に参照する前記照合用データ記憶手段を選択する選択手段を更に有する、
8.から12.のいずれか1つに記載の認証システム。
14.一の前記照合用データ記憶手段に記憶されている前記第2生体データを、当該第2生体データに紐付く属性情報に対応する他の前記照合用データ記憶手段に移動またはコピーする配置手段を更に有する、
13.に記載の認証システム。
15.コンピュータが、
照合対象の生体特徴データである第1生体データと当該第1生体データに関連する属性情報とを取得し、
前記第1生体データの照合に用いる生体特徴データである第2生体データを複数記憶する照合用データ記憶手段を参照し、前記第1生体データと各々の前記第2生体データとを照合し、
各々の前記第2生体データに紐付く属性情報を記憶する属性情報記憶手段から前記第2生体データ毎の属性情報を取得し、
前記第1生体データと共に取得された属性情報と各々の前記第2生体データに紐付く属性情報とを比較し、該比較の結果及び前記照合の結果に基づいて、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する、
ことを含む認証方法。
16.前記コンピュータが、
前記比較の結果を用いて前記照合の結果を重み付けすることにより、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する、
ことを含む15.に記載の認証方法。
17.前記コンピュータが、
前記第1生体データに対応する前記第2生体データが複数特定された場合、前記比較の結果及び前記照合の結果に基づいて、前記特定された第2生体データの優先度を決定する、
ことを含む15.または16.に記載の認証方法。
18.前記コンピュータが、
前記第1生体データと共に取得された属性情報を、前記特定された第2生体データに紐付く属性情報として前記属性情報記憶手段に蓄積する、
ことを含む15.から17.のいずれか1つに記載の認証方法。
19.前記属性情報の種別毎に優先度が設定されており、
前記コンピュータが、
前記第1生体データ及び前記第2生体データの前記属性情報の種別毎の比較結果、前記属性情報の種別毎の優先度、及び前記照合の結果に基づいて、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する、
ことを含む15.から18.のいずれか1つに記載の認証方法。
20.前記照合用データ記憶手段は前記属性情報の区分に応じて複数存在し、
前記コンピュータが、
前記第1生体データと共に取得された属性情報に基づいて、前記複数の照合用データ記憶手段の中から前記照合の時に参照する前記照合用データ記憶手段を選択する、
ことを含む15.から19.のいずれか1つに記載の認証方法。
21.前記コンピュータが
一の前記照合用データ記憶手段に記憶されている前記第2生体データを、当該第2生体データに紐付く属性情報に対応する他の前記照合用データ記憶手段に移動またはコピーする、
ことを含む20.に記載の認証方法。
22.コンピュータを、
照合対象の生体特徴データである第1生体データと当該第1生体データに関連する属性情報とを取得する第1取得手段、
前記第1生体データの照合に用いる生体特徴データである第2生体データを複数記憶する照合用データ記憶手段を参照し、前記第1生体データと各々の前記第2生体データとを照合する照合手段、
各々の前記第2生体データに紐付く属性情報を記憶する属性情報記憶手段から前記第2生体データ毎の属性情報を取得する第2取得手段、
前記第1生体データと共に取得された属性情報と各々の前記第2生体データに紐付く属性情報とを比較し、該比較の結果及び前記照合の結果に基づいて、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する特定手段、
として機能させるためのプログラム。
23.前記特定手段は、前記比較の結果を用いて前記照合の結果を重み付けすることにより、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する、
22.に記載のプログラム。
24.前記特定手段は、前記第1生体データに対応する前記第2生体データが複数特定された場合、前記比較の結果及び前記照合の結果に基づいて、前記特定された第2生体データの優先度を更に決定する、
22.または23.に記載のプログラム。
25.前記コンピュータを、前記第1生体データと共に取得された属性情報を、前記特定された第2生体データに紐付く属性情報として前記属性情報記憶手段に蓄積する蓄積手段、
として更に機能させるための22.から25.のいずれか1つに記載のプログラム。
26.前記属性情報の種別毎に優先度が設定されており、
前記特定手段は、前記第1生体データ及び前記第2生体データの前記属性情報の種別毎の比較結果、前記属性情報の種別毎の優先度、及び前記照合の結果に基づいて、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する、
22.から25.のいずれか1つに記載のプログラム。
27.前記照合用データ記憶手段は前記属性情報の区分に応じて複数存在しており、
前記コンピュータを、前記第1生体データと共に取得された属性情報に基づいて、前記複数の照合用データ記憶手段の中から前記照合時に参照する前記照合用データ記憶手段を選択する選択手段、
として更に機能させるための22.から26.のいずれか1つに記載のプログラム。
28.前記コンピュータを、一の前記照合用データ記憶手段に記憶されている前記第2生体データを、当該第2生体データに紐付く属性情報に対応する他の前記照合用データ記憶手段に移動またはコピーする配置手段、
として更に機能させるための27.に記載のプログラム。
Claims (16)
- 照合対象の生体特徴データである第1生体データと当該第1生体データに関連する属性情報とを取得する第1取得手段と、
前記第1生体データの照合に用いる生体特徴データである第2生体データを複数記憶する照合用データ記憶手段を参照し、前記第1生体データと各々の前記第2生体データとを照合する照合手段と、
各々の前記第2生体データに紐付く属性情報を記憶する属性情報記憶手段から前記第2生体データ毎の属性情報を取得する第2取得手段と、
前記第1生体データと共に取得された属性情報と各々の前記第2生体データに紐付く属性情報とを比較し、該比較の結果及び前記照合の結果に基づいて、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する特定手段と、
を有する情報処理装置。 - 前記特定手段は、前記比較の結果を用いて前記照合の結果を重み付けすることにより、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する、
請求項1に記載の情報処理装置。 - 前記特定手段は、前記第1生体データに対応する前記第2生体データが複数特定された場合、前記比較の結果及び前記照合の結果に基づいて、前記特定された第2生体データの優先度を更に決定する、
請求項1または2に記載の情報処理装置。 - 前記第1生体データと共に取得された属性情報を、前記特定された第2生体データに紐付く属性情報として前記属性情報記憶手段に蓄積する蓄積手段を更に有する、
請求項1から3のいずれか1項に記載の情報処理装置。 - 前記属性情報の種別毎に優先度が設定されており、
前記特定手段は、前記第1生体データ及び前記第2生体データの前記属性情報の種別毎の比較結果、前記属性情報の種別毎の優先度、及び前記照合の結果に基づいて、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する、
請求項1から4のいずれか1項に記載の情報処理装置。 - 前記照合用データ記憶手段は前記属性情報の区分に応じて複数存在し、
前記第1生体データと共に取得された属性情報に基づいて、前記複数の照合用データ記憶手段の中から前記照合時に参照する前記照合用データ記憶手段を選択する選択手段を更に有する、
請求項1から5のいずれか1項に記載の情報処理装置。 - 一の前記照合用データ記憶手段に記憶されている前記第2生体データを、当該第2生体データに紐付く属性情報に対応する他の前記照合用データ記憶手段に移動またはコピーする配置手段を更に有する、
請求項6に記載の情報処理装置。 - 情報処理装置とサーバとを備え、
前記情報処理装置は、
照合対象の生体特徴データである第1生体データと当該第1生体データに関連する属性情報とを取得する第1取得手段と、
前記第1特徴データと前記属性情報とを送信する送信手段と、
を有し、
前記サーバは、
前記第1特徴データと前記属性情報とを受信する受信手段と、
前記第1生体データの照合に用いる生体特徴データである第2生体データを複数記憶する照合用データ記憶手段を参照し、前記第1生体データと各々の前記第2生体データとを照合する照合手段と、
各々の前記第2生体データに紐付く属性情報を記憶する属性情報記憶手段から前記第2生体データ毎の属性情報を取得する第2取得手段と、
前記第1生体データと共に取得された属性情報と各々の前記第2生体データに紐付く属性情報とを比較し、該比較の結果及び前記照合の結果に基づいて、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する特定手段と、
を有する認証システム。 - コンピュータが、
照合対象の生体特徴データである第1生体データと当該第1生体データに関連する属性情報とを取得し、
前記第1生体データの照合に用いる生体特徴データである第2生体データを複数記憶する照合用データ記憶手段を参照し、前記第1生体データと各々の前記第2生体データとを照合し、
各々の前記第2生体データに紐付く属性情報を記憶する属性情報記憶手段から前記第2生体データ毎の属性情報を取得し、
前記第1生体データと共に取得された属性情報と各々の前記第2生体データに紐付く属性情報とを比較し、該比較の結果及び前記照合の結果に基づいて、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する、
ことを含む認証方法。 - 前記コンピュータが、
前記比較の結果を用いて前記照合の結果を重み付けすることにより、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する、
ことを含む請求項9に記載の認証方法。 - 前記コンピュータが、
前記第1生体データに対応する前記第2生体データが複数特定された場合、前記比較の結果及び前記照合の結果に基づいて、前記特定された第2生体データの優先度を決定する、
ことを含む請求項9または10に記載の認証方法。 - 前記コンピュータが、
前記第1生体データと共に取得された属性情報を、前記特定された第2生体データに紐付く属性情報として前記属性情報記憶手段に蓄積する、
ことを含む請求項9から11のいずれか1項に記載の認証方法。 - 前記属性情報の種別毎に優先度が設定されており、
前記コンピュータが、
前記第1生体データ及び前記第2生体データの前記属性情報の種別毎の比較結果、前記属性情報の種別毎の優先度、及び前記照合の結果に基づいて、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する、
ことを含む請求項9から12のいずれか1項に記載の認証方法。 - 前記照合用データ記憶手段は前記属性情報の区分に応じて複数存在し、
前記コンピュータが、
前記第1生体データと共に取得された属性情報に基づいて、前記複数の照合用データ記憶手段の中から前記照合の時に参照する前記照合用データ記憶手段を選択する、
ことを含む請求項9から13のいずれか1項に記載の認証方法。 - 前記コンピュータが
一の前記照合用データ記憶手段に記憶されている前記第2生体データを、当該第2生体データに紐付く属性情報に対応する他の前記照合用データ記憶手段に移動またはコピーする、
ことを含む請求項14に記載の認証方法。 - コンピュータを、
照合対象の生体特徴データである第1生体データと当該第1生体データに関連する属性情報とを取得する第1取得手段、
前記第1生体データの照合に用いる生体特徴データである第2生体データを複数記憶する照合用データ記憶手段を参照し、前記第1生体データと各々の前記第2生体データとを照合する照合手段、
各々の前記第2生体データに紐付く属性情報を記憶する属性情報記憶手段から前記第2生体データ毎の属性情報を取得する第2取得手段、
前記第1生体データと共に取得された属性情報と各々の前記第2生体データに紐付く属性情報とを比較し、該比較の結果及び前記照合の結果に基づいて、前記第1生体データに対応する前記第2生体データを少なくとも1つ特定する特定手段、
として機能させるためのプログラム。
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JP2007249585A (ja) | 2006-03-15 | 2007-09-27 | Omron Corp | 認証装置およびその制御方法、認証装置を備えた電子機器、認証装置制御プログラム、ならびに該プログラムを記録した記録媒体 |
JP2008129830A (ja) * | 2006-11-21 | 2008-06-05 | Sony Corp | 個人識別装置、個人識別方法、識別用辞書データの更新方法および識別用辞書データの更新プログラム |
JP2012133565A (ja) * | 2010-12-21 | 2012-07-12 | Nec Corp | 認証処理装置、認証処理方法、及びプログラム |
JP2013061875A (ja) * | 2011-09-14 | 2013-04-04 | Hitachi Information & Communication Engineering Ltd | 認証システム及び信頼度判定方法 |
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JP2018018355A (ja) * | 2016-07-28 | 2018-02-01 | 凸版印刷株式会社 | 災害用情報管理システム、および、災害用情報管理方法 |
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US10114936B2 (en) | 2018-10-30 |
US20160188858A1 (en) | 2016-06-30 |
EP3035225A1 (en) | 2016-06-22 |
AU2014297265A1 (en) | 2016-02-18 |
AU2017239587A1 (en) | 2017-10-26 |
EP3035225A4 (en) | 2017-03-08 |
EP3035225B1 (en) | 2020-05-06 |
JPWO2015016262A1 (ja) | 2017-03-02 |
AU2019232782B2 (en) | 2021-02-11 |
CA2919448C (en) | 2019-08-27 |
AU2019232782A1 (en) | 2019-10-10 |
CA2919448A1 (en) | 2015-02-05 |
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