Nec Corporation

Tatsuya Shimahara

Masanori Hara

Leiming Su

Hiroaki Morita

Akira Hirokawa

The example embodiments provides a processing system including an extraction unit that extracts a feature amount of light reflected by a cornea of a person from an image generated by a first imaging apparatus, a comparison unit that specifies an imaging apparatus corresponding to the extracted feature amount of the light based on the extracted feature amount of the light and a reference feature amount indicating a feature of light emitted by each of a plurality of imaging apparatuses at a time of imaging, and a biometric detection unit that performs biometric detection based on a result of whether or not the first imaging apparatus matches the specified imaging apparatus.

Processing system, processing method, and non-transitory storage medium

A stripe pattern image collating device according to the example embodiment includes a feature extracting unit that extracts a feature point and a skeleton from a first stripe pattern image and a second stripe pattern image in which a stripe pattern is formed of ridges, and generates feature point data and skeleton data. A skeleton collating unit that collates two sets of pieces of the feature point data and pieces of the skeleton data that are extracted from each of the first stripe pattern image and the second stripe pattern image, and calculates a collation score. An image analyzing unit that analyzes the second stripe pattern image with respect to an area in which an opposite feature point pair of the first stripe pattern image exists, calculates an image analysis score, and corrects the collation score.

Stripe pattern image collating device, stripe pattern collating method, and computer-readable medium storing program thereof

A fingerprint image processing device includes a memory, and a processor coupled to the memory. The processor performs operations. The operations include reading a tenprint card image which includes a plurality of fingerprint patterns and at least one ruled line to separate one fingerprint imprint area from another fingerprint imprint area, and extracting from the tenprint card image a fingerprint image which includes at least one of the fingerprint patterns, apart of a fingerprint imprint area, and a part of a next fingerprint imprint area.

Tenprint card input device, tenprint card input method and storage medium

A biometric recognition apparatus and fingerprint feature extraction method can automatically optimize parameters used for extracting a feature template from a biometric image. The biometric recognition apparatus includes: a teacher data generation unit that generates a genuine pair and an imposter pair of first and second biometric images; a learning data generation unit that uses a plurality of different temporary parameters to extract feature templates from the first biometric image and the second biometric image; and an optimum solution determination unit that calculates a score separation degree on the temporary parameter basis based on a first score representing a similarity degree of a pair of the feature templates extracted from the genuine pair and a second score representing a similarity degree of a pair of the feature templates extracted from the imposter pair and determines the temporary parameter based on a level of the score separation degree.

Biometric recognition apparatus and biometric recognition method

Tenrprint card input device, tenrprint card input method and storage medium

A fingerprint image processing device includes a memory, and a processor coupled to the memory. The processor performs operations. The operations include reading a tenprint card image which includes a plurality of fingerprint patterns and at least one ruled line to separate one fingerprint imprint area from another fingerprint imprint area, and extracting from the tenprint card image a fingerprint image which includes at least one of the fingerprint patterns, a part of a fingerprint imprint area, and a part of a next fingerprint imprint area.

Provided is a biometric recognition apparatus and a fingerprint feature extraction method that can automatically optimize parameters used for extracting a feature template from a biometric image. The biometric recognition apparatus includes: a teacher data generation unit that generates a genuine pair and an imposter pair of a first biometric image and a second biometric image; a learning data generation unit that uses a plurality of different temporary parameters to extract feature templates from the first biometric image and the second biometric image; and an optimum solution determination unit that calculates a score separation degree on the temporary parameter basis based on a first score representing a similarity degree of a pair of the feature templates extracted from the genuine pair and a second score representing a similarity degree of a pair of the feature templates extracted from the imposter pair and determines the temporary parameter based on a level of the score separation degree.

A fingerprint image processing device includes a memory, and a processor coupled to the memory. The processor performs operations, including reading a tenprint card image which includes a plurality of fingerprint patterns and at least one ruled line to separate one fingerprint imprint area from another fingerprint imprint area, and extracting from the tenprint card image a fingerprint image which includes a part of a fingerprint imprint area and apart of a next fingerprint imprint area.

To accurately show the size of a standard resolution on an image of a fingerprint. A device comprises: a starting point setting unit () which, according to a starting point specification instruction that is input on a scale included in a fingerprint image, sets a starting point on a pilot wire that is specified first by the starting point specification instruction out of pilot wires of divisions on the scale; a passage point setting unit () which, every time an input line that is drawn along the scale from the starting point passes a pilot wire, sets a passage point on the passed pilot wire; an inter-division distance calculation unit () which calculates an inter-division distance on the image using the position of the starting point and the position of the passage point; a standard resolution calculation unit () which calculates the size of a standard resolution that corresponds to the image using the inter-division distance and a unit length which is the length of one division in the scale; and a frame display unit () which displays a frame on the image so as to match the size in the standard resolution.

Image resolution recognition device, method for recognizing image resolution and image resolution recognition program

A system, which computer processes a tenprint card where fingerprint images are imprinted, provides a processing mechanism which automatically crops or segments respective fingerprint images on the tenprint card. In particular, the system provides: a processing mechanism which appropriately crops or segments a slap print image, even if a fingerprint image of slap prints does not fit in a predetermined frame or even if noise other than fingerprints to be cropped or segmented is present within a frame of a four-finger slap, by using a result of matching with rolled prints; and a processing mechanism which checks a correspondence relationship between the rolled prints and the plane prints, assesses a finger position, and detects an error of imprinting position.

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Tokyo, Japan

Tatsuya Shimahara