Nec Corporation

Janome Sewing Machine Company Limited

Ngk Insulators, Inc.

Nec Solution Innovators, Ltd.

Tokyo Metropolitan University

Yahoo Japan Corporation

Nec Soft, Ltd.

Masanori Hara

Hiroaki Toyama

Tatsuya Shimahara

Kan Satou

Yoshinori Suzuki

Masanori Mizoguchi

Hideaki Takenoya

Yoshinobu Tonomura

Yosuke Sato

Kiyoshi Kanamura

Kan Sato

Susumu Hanyu

Toshihiro Yoshida

Kazuhiro Yamamoto

Atsushi Kaeriyama

Koji Uno

Toshiro Fujimura

Takamitsu Iriyama

Toshio Fujimura

Kiichi Fukatsu

Sayaka Okuda

A biological pattern information processing device includes: a biological pattern information acquisition unit that acquires biological pattern information indicating a biological pattern; and a singular region detection unit that detects a singular region including damage, from the biological pattern indicated by the acquired biological pattern information.

Biological pattern information processing device, biological pattern information processing method, and program

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 minutia features generation apparatus comprises: an input part to input an image formed as a curved stripe pattern by a ridge line(s); a generation part to generate a skeleton image formed by extracting a skeleton(s) from the image; an extraction part to extract a plurality of minutiae from the skeleton image; and a calculation part configured to calculate a relation minutia feature(s) representing relationship between a first minutia and a second minutia among the plurality of minutiae, wherein the calculation part calculates as one of the relation minutia features defined by a crossing count of the skeleton(s) and a straight line connecting from the second minutia to a nearest neighbor point which is a point on a trace line traced by tracing starting from the first minutia, which point is located at a shortest line distance from the second minutia.

Minutia features generation apparatus, system, minutia features generation method, and program

A striped pattern image examination support apparatus includes a feature extraction part, a central line collation part, and a display part. The feature extraction part extracts, from each of a first striped pattern image and a second striped pattern image, at least central lines and feature points, as a feature of each of the first striped pattern image and the second striped pattern image. The central line collation part performs collation of the respective central lines of the first striped pattern image and the second striped pattern image, and computes corresponding central lines between the first striped pattern image and the second striped pattern image. The display part determines a display form of each of the central lines based on the computed corresponding central lines and superimposes and displays the central lines on each of the first striped pattern image and the second striped pattern image, according to the determined display form.

Striped pattern image examination support apparatus, striped pattern image examination support method, and program

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.

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 provide a feature point input assisting device that can carry out the input assistance of the feature point. A feature point input assisting device includes a processor circuitry. The processor circuitry configured to set a first feature point in an input image including a stripe pattern formed by ridge lines. The processor circuitry configured to extract a second feature point from the input image by using the first feature point. The processor circuitry configured to extract a feature point, which is the second feature point having no corresponding first feature point, as an input omission feature point candidate. The processor circuitry configured to output the input omission feature point candidate to a display device.

Feature point input assisting device, feature point input assisting method, and storage medium stored with program

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Tokyo, Japan

Masanori Hara