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: 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: 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 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.

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 sensor reads an image of a pattern of a living body. A processor extracts a plurality of feature points from the pattern, and calculates a feature amount of each combination of the feature points. The processor classifies the combination according to the feature amount, and selects registered feature point information to be compared with the feature points included in the combination in accordance with classification.

Abstract: A processor configured to execute a process includes receiving image information including biometric information, extracting, from the image information, a first phase component image representing a phase component included in the image information, converting the image information into first frequency information and converts the first phase component image into second frequency information, extracting a first feature vector and a second feature vector respectively on the basis of amplitude information of the first frequency information and the second frequency information determined in advance, and combining the first feature vector and the second feature vector on the basis of a prescribed rule.

Abstract: A processor configured to execute a process includes receiving image information including biometric information, extracting, from the image information, a first phase component image representing a phase component included in the image information, converting the image information into first frequency information and converts the first phase component image into second frequency information, extracting a first feature vector and a second feature vector respectively on the basis of amplitude information of the first frequency information and the second frequency information determined in advance, and combining the first feature vector and the second feature vector on the basis of a prescribed rule.

Abstract: A fingerprint image obtaining unit 1 obtains a fingerprint image of multiple fingers. A vein image obtaining unit 3 obtains a palm vein image. An authentication information DB 6 stores reference vein characteristic information, and a reference direction of a predetermined finger in a reference palm vein image for which the reference vein characteristic information is obtained. A reference obtaining unit 20 detects a longitudinal direction of a predetermined finger based on the fingerprint image. A position correcting unit 40 corrects the palm vein image based on the longitudinal direction of the predetermined finger, and the reference direction of the predetermined finger. A vein characteristic information extracting unit 4 obtains vein characteristic information from a corrected palm vein image. A verification processing unit 32 matches the vein characteristic information obtained with the reference vein characteristic information for authentication.

Abstract: A processor configured to execute a process includes receiving image information including biometric information, extracting, from the image information, a first phase component image representing a phase component included in the image information, converting the image information into first frequency information and converts the first phase component image into second frequency information, extracting a first feature vector and a second feature vector respectively on the basis of amplitude information of the first frequency information and the second frequency information determined in advance, and combining the first feature vector and the second feature vector on the basis of a prescribed rule.