Abstract: An identification method includes generating, when a first person is detected from a first image captured by a first camera and a second person is detected from a second image captured by a second camera, relationship information obtained by associating a position in the first image from which the first person is detected with a position in the second image from which the second person is detected, and first identifying, based on feature information on the first person and feature information on the second person, the first person and the second person, by a processor.

Abstract: A determination method executed by a computer, the determination method including calculating an overlap degree between a first person and another person among a plurality of persons, in response to detecting that the plurality of persons are appearing in an image obtained by capturing a predetermined space; determining whether or not a partial image included in the image and indicating the first person is to be a target of person determination, according to the calculated overlap degree; determining which of candidates the first person is, by using the partial image, in response to determining that the partial image is to be the target of the person determination; and preventing the determining of which of the candidates the first person is, by using the partial image, in response to determining that the partial image is not to be the target of the person determination.

Abstract: In a determination method, when an object indicating a person approaching a service providing device is detected based on a result of analyzing an image taken by a camera, a location where the service providing device will start providing a service is determined, in accordance with a movement of the target.

Abstract: A determination method includes when first images in a time series photographed by a first camera every first time and second images in a time series photographed by a second camera every second time are acquired, calculating a trajectory of a person that is in each of the first images and a trajectory of a person that is in each of the second images, determining a third time according to a time for acquiring each of the first images from the first camera and a time for acquiring each of the second images from the second camera, and judging whether a person whose trajectory is calculated from an image of the first images corresponding to the third time after determined and a person whose trajectory is calculated from an image of the second images corresponding to the third time after determined are the same.

Abstract: A determination method includes, extracting first-type feature information of a first person by using a first image captured by a first camera, when second-type feature information is extracted from the first person before or after the first image is captured, identifying a person corresponding to the first person by using the second-type feature information of each of a plurality of people stored in a memory, and when the first-type feature information of a second person is extracted using a second image captured by the first camera or a second camera, identifying a person corresponding to the second person by using the first-type feature information of the first person identified.

Abstract: In a determination method, a computer executes processing including: generating face image data from which noise is removed by a specific algorithm from face image data when the face image data is acquired; generating difference image data concerning difference between the face image data that has been acquired and the face image data that has been generated; determining whether or not the face image data that has been acquired is a composite image based on information included in the difference image data; and determining whether or not the face image data that has been acquired is a composite image based on information included in frequency data generated from the difference image data in a case where the face image data that has been acquired is not determined to be a composite image.

Abstract: In a determination method, a computer executes processing including: generating face image data from which noise is removed by a specific algorithm from face image data when the face image data is acquired; generating difference image data concerning difference between the face image data that has been acquired and the face image data that has been generated; determining whether or not the face image data that has been acquired is a composite image based on information included in the difference image data; and determining whether or not the face image data that has been acquired is a composite image based on information included in frequency data generated from the difference image data in a case where the face image data that has been acquired is not determined to be a composite image.

Abstract: An authentication method implemented by a computer, the method including: detecting a plurality of biometric region candidates and a feature point of each of the plurality of biometric region candidates from a captured image obtained by capturing a living body; selecting any biometric region candidate from among the plurality of biometric region candidates based on a position of the feature point of each of the plurality of biometric region candidates; and authenticating the living body, using an image of the any biometric region candidate.

Abstract: An evaluation method executed by a computer, the evaluation method includes acquiring image data that includes a target object captured by a camera; detecting motions at each of a plurality of positions on a subject that includes the target object captured by the camera, based on the acquired image data; specifying a plurality of the positions where magnitude of the detected motions is greater than a reference value, from among the plurality of positions on the subject; and determining whether or not the target object is a real object, based on distribution of the specified plurality of the positions on the image data.

Abstract: A biometric authentication device including a processor configured to perform processing including: calculating distribution regarding a first similarity between biometric information of a first modality extracted from output of a sensor and the biometric information of the first modality included in registration data; deriving the distribution regarding a second similarity between the biometric information of the first modality of which the first similarity is ranked first and the biometric information of the first modality of which the first similarity is ranked second and lower, among the biometric information of the first modality included in the registration data; and switching a narrowing-down rate configured to narrow down registrants included in the registration data to collation target persons to be collated by personal authentication that uses a second modality different from the first modality, based on the distribution regarding the first similarity and the distribution regarding the second simila

Abstract: An authentication apparatus of acquiring an image; performing face detection of the image; collating, for each face region obtained by the face detection, a feature amount of the face region with a feature amount of a face of a legitimate user included in predetermined registration data; presenting, in a case where the face region obtained by the face detection includes the face of the legitimate user and a face of a third party other than the legitimate user, an aiming frame with which aim of capturing of an image of the face of the legitimate user is to be aligned on the image; and continuing continuous authentication after logon in a case where a degree of matching between the face region detected by the face detection and the aiming frame satisfies a predetermined condition.

Abstract: An information processing device includes a memory and a processor coupled to the memory, and the processor is configured to acquire an image captured by an image capturing device configured to capture the image, detect from the acquired image a target for which an image analysis is performed, calculate a fineness of image of the detected target and determine a type of the image analysis according to the calculated fineness of image, and perform the determined type of image analysis.

Abstract: A first similarity is calculated between a first feature amount of first biological information acquired from a first person among multiple persons to be subjected to authentication and a second feature amount of second biological information acquired from a second person among the multiple persons to be subjected to authentication, and multiple second similarities between the first feature amount and multiple registered feature amounts of biological information acquired from multiple registered persons are calculated. When authentication of the first person is successful, first registered feature amounts to be subjected to similarity calculation are selected from among the multiple registered feature amounts, based on the first similarity and the multiple second similarities. Third similarities are calculated between the second feature amount and the first registered feature amounts, and authentication on the second person to be subjected to authentication is executed based on the third similarities.

Abstract: An information processing authentication apparatus, includes: a memory; and a processor coupled to the memory and configured to: detect a moire generation region and a region related to living body information from image data captured; and determine whether the living body information contained in the image data is brought by capturing an image of a fake living body, based on a positional relationship between the moire generation region and the region related to the living body information.

Abstract: A biometric authentication device includes: a first memory; and a processor configured to: acquire an image that includes a face of one or more persons; specify a region that a face of a head person of a waiting line in which the one or more persons line up appears from the acquired image; extract feature of the face of the head person included in the specified region; select, by a first collation process of collating the extracted feature with feature indicating facial characteristics of persons and biometric information of each person, a group of persons similar to the head person among the persons; acquire the biometric information of the head person; and authenticate the head person by a second collation process of collating the biometric information of each person included in the group among the biometric information with the acquired biometric information of the head person.

Abstract: A biometric authentication device includes: an acquisition device configured to acquire eye information of a user; a memory; and a processor coupled to the memory and the processor configured to: extract a first eye feature based on recognition characteristic from the eye information; extract a second eye feature based on eye movement characteristic from the eye information; and match a first eye feature enrolled in advance with the first eye feature extracted by the first extractor, and to match a second eye feature enrolled in advance with the second eye feature extracted by the second extractor.

Abstract: A biometric information processing device including: a memory; a processor coupled to the memory and the processor configured to: extract a surface pattern and a blood vessel pattern of a living body from a biometric image; extract a feature point of the surface pattern; and extract a feature of the blood vessel pattern corresponding to a position of the feature point.

Abstract: A first similarity is calculated between a first feature amount of first biological information acquired from a first person among multiple persons to be subjected to authentication and a second feature amount of second biological information acquired from a second person among the multiple persons to be subjected to authentication, and multiple second similarities between the first feature amount and multiple registered feature amounts of biological information acquired from multiple registered persons are calculated. When authentication of the first person is successful, first registered feature amounts to be subjected to similarity calculation are selected from among the multiple registered feature amounts, based on the first similarity and the multiple second similarities. Third similarities are calculated between the second feature amount and the first registered feature amounts, and authentication on the second person to be subjected to authentication is executed based on the third similarities.

Abstract: A biometric image processing device includes: a fingerprint sensor configured to obtain a first fingerprint image from a finger placed on a detection surface and to obtain a second fingerprint image after the first fingerprint image is obtained; and a processor configured to estimate an inclination of the finger with respect to the detection surface based on the second fingerprint image, to estimate a distortion of a fingerprint based on the first fingerprint image and the second fingerprint image, to correct the second fingerprint image based on the inclination and the distortion, and to generate, based on the corrected second fingerprint image, three-dimensional information that indicates a three-dimensional geometry of the finger.

Abstract: A biometric information processing device including: a memory; a processor coupled to the memory and the processor configured to: extract a surface pattern and a blood vessel pattern of a living body from a biometric image; extract a feature point of the surface pattern; and extract a feature of the blood vessel pattern corresponding to a position of the feature point.