Omron Corporation

Miharu Sakuragi

Yoshihisa Minato

Yukiko Yanagawa

Takuya Kuroda

Tadashi Hyuga

Miki Matsuoka

Yoko Yoshida

Erina Takikawa

Mihoko Takahashi

Hiroyuki Iwao

A face collation apparatus has a storage that stores a feature quantity of at least one registrant, the feature quantity being extracted from a registration image of the registrant, a feature quantity extractor that extracts a feature quantity from a collation image of a collation object person, a score calculator that calculates a score indicating an analogy degree between the feature quantity of the registrant and the feature quantity of the collation object person, a score adjuster that adjusts the score using a score adjustment parameter so that any one of a stranger acceptance rate indicating a probability that a stranger is accepted at the time of collation, a principal rejection rate indicating a probability that a principal is rejected at the time of collation, and an equal error rate, which is a probability that the stranger acceptance rate and the principal rejection rate are equal, becomes substantially constant regardless of a registration condition and/or a collation condition, and a determination unit that determines whether the collation object person is the registrant by comparing the adjusted score and a predetermined threshold.

Face collation apparatus

A face feature value vector extracting section extracts a feature value from a registered image of a registrant to generate a face feature value vector. A virtual face feature value vector generating section converts the face feature value vector using a feature value converter which performs a conversion in a feature value space. Then, a registration information generating section generates face definition information of the registrant based on a face feature value vector before conversion and a virtual face feature value vector after conversion and registers this information in a registration information storing section.

Face identification device

To provide an apparatus capable of easily displaying a magnified image of a subject intended for by the user. An intended subject such as the face of a man is detected from the image displayed on the screen, and in accordance with the position and size of the intended subject detected, the display area and the magnification rate for magnified display of the intended subject are determined. In accordance with the display area and the magnification rate thus determined, the magnified display is conducted on the screen. In the case where a plurality of intended subjects exist in the image, the intended subjects are classified into a plurality of masses and the magnified display may be conducted for each mass.

Magnified display apparatus and magnified image control apparatus

There are provided a living body collating device, a living body collating system and a living body collating method, which is equipped with optimization candidate data extracting meansfor extracting optimization candidate data for data renewal from past record data of living body information achieved, optimization candidate data storage meansfor storing the optimization candidate data extracted by the optimization candidate data extracting means, and renewal storage meansfor storing, as new registration data, the data having higher priorities of the optimization candidate data stored in the optimization candidate data storage meansand registration data stored in registration data storage means.

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Kyoto, Japan

Miharu Sakuragi