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 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: 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 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.

Abstract: The quality of biometric information that will be input the next time is estimated. Estimated matching quality information is calculated which indicates the degree of matching between estimated quality information and quality information of the actually input biometric information. Further, past quality information is calculated which indicates how the quality of a plurality of pieces of estimated matching quality information varied in the past. Then, whether or not the biometric information is to be registered is determined according to the estimated matching quality information and the past quality information.

Abstract: A biometric information correction method includes applying a correction process with respect to a first biometric image representing biometric information of a user to enhance a degree of clarity of the biometric information of the user, thereby creating a second biometric image, extracting a first feature amount representing features of the biometric information from the first biometric image and a second feature amount representing features of the biometric information from the second biometric image, calculating a degree of change representing a difference between the first feature amount and the second feature amount, and outputting the first feature amount when the degree of change indicates that an artifact has been created in the second biometric image.

Abstract: A biometric information processing apparatus includes: a biometric information acquiring unit which generates a biometric image representing biometric information of a plurality of fingers of a user; and a processor adapted to extract a biometric region capturing biometric information of each of the plurality of fingers in the biometric image; obtain the first distance between the biometric regions corresponding to two adjacent fingers of the plurality of fingers; and estimate an angle of spread between the two adjacent fingers according to a ratio of a value obtained by subtracting a distance between bases of the two fingers from the first distance, to a length from a base of one of the two adjacent fingers to the biometric information.

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: An biological-information authentication device includes, a biological-information reading section configured to read biological information; a comparing section configured to compare biological information read by the biological-information reading section with registered biological information to determine whether they match; a registration section configured to register biological information; a biological-information-input-operation extraction section configured to extract input operation data indicating an input operation of biological information read by the biological-information reading section.

Abstract: An biometric-information processing device includes a biometric-information acquiring unit that generates a biometric image representing biometric information on a surface of a specific portion of a user; a divider that divides the biometric image into multiple blocks; a prior-complexity-degree estimator that estimates, for each of the multiple blocks, a prior complexity degree indicating complexity of a pattern of part included in the biometric information and represented in the block, on a basis of a difference between a direction of the pattern of the part included in the biometric information and represented in the block and a direction of a pattern of other part included in the biometric information and represented in the block adjacent to that block; a posterity-complexity-degree determiner that determines, for each of the multiple blocks, a posterior complexity degree indicating complexity of an image of the part included in the biometric information and represented in the block.

Abstract: A biometric information processing apparatus includes: a calculation unit that calculates the direction of each of characteristic lines included in biometric information extracted from a user; a smoothing unit that smoothes each of the characteristic lines; a difference calculation unit that calculates a difference between the direction of each of the characteristic lines and the direction of each of the smoothed characteristic lines; a detection unit that detects, as a change candidate area, a potentially changeable area in the biometric information based on each of the calculated differences; and an estimation unit that estimates the future authentication accuracy using the biometric information, based on the detected change candidate area.

Abstract: A biometric information correction method includes applying a correction process with respect to a first biometric image representing biometric information of a user to enhance a degree of clarity of the biometric information of the user, thereby creating a second biometric image, extracting a first feature amount representing features of the biometric information from the first biometric image and a second feature amount representing features of the biometric information from the second biometric image, calculating a degree of change representing a difference between the first feature amount and the second feature amount, and outputting the first feature amount when the degree of change indicates that an artifact has been created in the second biometric image.

Abstract: A biometric authentication device includes: a biometric information acquiring unit which acquires a user's biometric information and generates a biometric image representing the biometric information; a storage unit which stores data concerning registered biometric information of at least one registered user; and a processing unit. The processing unit detects from the biometric image a moderately blurred region having a first degree of blurring and a highly blurred region having a second degree of blurring which is higher than the first degree of blurring, identifies the cause of the occurrence of the highly blurred region and the moderately blurred region, and presents to the user a warning message corresponding to the cause of the occurrence of the blurred regions.