Abstract: According to one embodiment, an apparatus includes input unit, detecting unit, extraction unit, storage, selection unit, determination unit, output unit, and setting unit. The selection unit selects operation or setting modes. In operation mode, it is determined whether captured person is preregistered person. In setting mode, threshold for the determination is set. The determination unit determines, as registered person and when operation mode is selected, person with degree of similarity between extracted facial feature information and stored facial feature information of greater than or equal to threshold. The setting unit sets, when setting mode is selected, threshold based on first and second degrees of similarity. First degree of similarity is degree of similarity between facial feature information of the registered person and the stored facial feature information.

Abstract: According to one embodiment, a person authentication method includes obtaining, from a medium carried by a person who passes through a first position, first information indicating the gender and the age of the person; performing a first authentication operation with respect to a person whose face image is included in a first image obtained by capturing a person passing through the first position; and setting, as the first authentication operation, an authentication operation to be performed using the face image of a person having the gender and the age specified in the first information.

Abstract: According to one embodiment, a facial image search system including, search module configured to calculate degree of similarity between facial features extracted by feature extraction module and facial features contained in database and output search result based on calculated degree of similarity, measuring module configured to measure amount of search result output by search module, and selection module configured to sort out search result output by search module if amount of search result measured by measuring module is equal to or more than preset threshold.

Abstract: According to one embodiment, a face recognizing apparatus includes: a storage unit; an input unit; a face detector; an extractor; and a recognizing unit. The storage unit stores face feature information on a face feature of each person. The input unit receives image information including at least a face of a person. The face detector detects a face region of the face of the person from the image information received by the input unit. The extractor extracts face feature information on a face feature from the face region detected by the face detector. The recognizing unit recognizes the person in the image information received by the input unit based on the feature information extracted by the extracting unit and the face feature information stored in the storage unit.

Abstract: According to one embodiment, an identity authentication system includes a detecting unit that detects an identity theft by determining whether a photographing target is a living body or a non-living body, a collating unit that performs identity collation based on a photographed image, and a control unit that controls execution timing of a detection process performed by the detecting unit and an identity collating processing performed by the collating unit and, in a case where the detection performed by the detecting unit is performed for a first number of times, performs the collation process performed by the collating unit, wherein the first number of times is set in consideration of a tradeoff between a required intensity of security and convenience of a user using the identity authentication system.

Abstract: A person recognition apparatus is disclosed that includes an image input unit, a face detection unit in which a face is expressed from the inputted image data, as a score which takes a value in accordance with facial likeness, a facial feature point detection unit, a feature extraction unit, a feature data administrative unit, a person identification unit to calculate similarity between the amount calculated by the feature extraction unit and the amount stored in the feature data administrative unit, a number of candidates calculation unit which displays the images stored in descending order of the similarity, and calculates a score from the face detection unit and the facial feature point detection unit, a candidate confirmation unit in which images displayed in descending order of the similarity are subjected to visual inspection.

Abstract: According to the embodiment form, a label is equipped with a sheet-like base material, an adhesion layer, and an exfoliation base material. A sheet-like base material has a printable printing side. An adhesion layer is prepared in a field opposite to the printing side in a sheet-like base material. Through the above-mentioned sheet-like base material and the above-mentioned adhesion layer, an exfoliation base material is pasted up so that exfoliation is possible. In the printing side of the above-mentioned sheet-like base material, the identification information for identifying the above-mentioned object to two or more partial domains divided in the straight line made to correspond to the boundary of the field and field in an above-mentioned box-type object is printed, respectively.

Abstract: According to one embodiment, an apparatus includes input unit, detecting unit, extraction unit, storage, selection unit, determination unit, output unit, and setting unit. The selection unit selects operation or setting modes. In operation mode, it is determined whether captured person is preregistered person. In setting mode, threshold for the determination is set. The determination unit determines, as registered person and when operation mode is selected, person with degree of similarity between extracted facial feature information and stored facial feature information of greater than or equal to threshold. The setting unit sets, when setting mode is selected, threshold based on first and second degrees of similarity. First degree of similarity is degree of similarity between facial feature information of the registered person and the stored facial feature information.

Abstract: According to one embodiment, a biological information processor includes: an area detection unit configured to detect an area in which a person is displayed from image information; a feature extraction unit configured to extract feature information based on a characteristic portion of a person from the area detected by the area detection unit from the image information; and a determination unit configured to determine an extraction precision indicating whether or not the characteristic portion of the person can be extracted, with respect to the feature information extracted by the feature extraction unit based on a position of the characteristic portion.

Abstract: According to one embodiment, a face recognizing apparatus includes: a storage unit; an input unit; a face detector; an extractor; and a recognizing unit. The storage unit stores face feature information on a face feature of each person. The input unit receives image information including at least a face of a person. The face detector detects a face region of the face of the person from the image information received by the input unit. The extractor extracts face feature information on a face feature from the face region detected by the face detector. The recognizing unit recognizes the person in the image information received by the input unit based on the feature information extracted by the extracting unit and the face feature information stored in the storage unit.

Abstract: A moving object tracking system includes an input unit, a detection unit, a creating unit, a weight calculating unit, a calculating unit, and an output unit. The detection unit detects all tracking target moving objects from each of input images input. The creating unit creates a combination of a path that links each moving object detected in a first image to each moving object detected in a second image, a path that links each moving object detected in the first image to an unsuccessful detection in the second image, and a path that links an unsuccessful detection in the first image to each moving object detected in the second image. The calculating unit calculates a value for the combination of the paths to which weights are allocated. The output unit outputs a tracking result.

Abstract: According to one embodiment, a facial image search system including, search module configured to calculate degree of similarity between facial features extracted by feature extraction module and facial features contained in database and output search result based on calculated degree of similarity, measuring module configured to measure amount of search result output by search module, and selection module configured to sort out search result output by search module if amount of search result measured by measuring module is equal to or more than preset threshold.