A trustability analyzing system (100) includes: a friend list acquisition unit (111) configured to acquire, via a network, person attribute information of a holder of an account that is subject to determination; a friend information acquisition unit (112) configured to acquire, via the network, a list of friend accounts of the account that is subject to determination; an attribute information acquisition unit (113) configured to acquire, based on the list of friend accounts, information about the friend via the network; a person attribute estimation unit (121) configured to estimate, based on the information about the friends, person attributes of the holder of the account that is subject to determination; a distance calculation unit (122) configured to calculate a distance between the person attribute information acquired by the person attribute acquisition means and the person attributes estimated by the person attribute estimation means; and a trust level calculation unit (123) configured to calculate, based on the distance calculated by the distance calculation means, a trust level of the account that is subject to determination.

According to the present disclosure, a handwritten signature to be authenticated is received, a plurality of pieces of signature behavioral characteristic information are extracted, all of the plurality of the pieces of the extracted signature behavioral characteristic information are applied to each of first and second signature authentication algorithms using different techniques to analyze a degree of matching between the received handwritten signature and a registered handwritten signature, results of analysis performed by the first and second signature authentication algorithms are combined to adjust a false rejection rate and a false acceptance rate, and whether handwritten signature authentication succeeds is finally determined.

A device may select an individual that is a candidate for authentication by facial recognition. The device may identify a facial area of the individual and an area of exposed skin of the individual. The device may obtain a first temperature associated with the facial area of the individual and a second temperature associated with the area of exposed skin of the individual. The device may determine, based on the first temperature and the second temperature, whether an appearance of the facial area of the individual is likely altered by a face-altering technology. The device may selectively perform facial recognition on the facial area of the individual based on whether the appearance of the facial area of the individual is likely altered by the face-altering technology.

A device may select an individual that is a candidate for authentication by facial recognition. The device may identify a facial area of the individual and an area of exposed skin of the individual. The device may obtain a first temperature associated with the facial area of the individual and a second temperature associated with the area of exposed skin of the individual. The device may determine, based on the first temperature and the second temperature, whether an appearance of the facial area of the individual is likely altered by a face-altering technology. The device may selectively perform facial recognition on the facial area of the individual based on whether the appearance of the facial area of the individual is likely altered by the face-altering technology.

Provided is an object recognition method which includes obtaining a first visible-light image acquired by the first camera device and a second visible-light image acquired by the second camera device; performing exposure processing on the first visible-light image according to the luminance information of the bright area image of the first visible-light image and performing exposure processing on the second visible-light image according to the luminance information of the dark area images of the first visible-light image and/or the second visible-light image, where the dark area image is an area image having a luminance value less than or equal to the preset value; and performing target object detection on the first visible-light image obtained after exposure processing and the second visible-light image obtained after exposure processing and recognizing and verifying a target object according to the detection result.

A determination system includes: a projection control unit that controls a projection unit to project a random marker within an angle of view of an imaging unit; an acquisition unit that obtains an image of a target person including the marker from the imaging unit; and a determination unit that determines whether or not the target person imaged by the imaging unit is a living body on the basis of a state of the marker included in the image. According to such a determination system, it is possible to accurately determine whether or not the target person is a living body. Therefore, for example, it is possible to avoid a breakthrough of biometric authentication by an illegal method, or the like.

A determination system includes: a projection control unit that controls a projection unit to project a random marker within an angle of view of an imaging unit; an acquisition unit that obtains an image of a target person including the marker from the imaging unit; and a determination unit that determines whether or not the target person imaged by the imaging unit is a living body on the basis of a state of the marker included in the image. According to such a determination system, it is possible to accurately determine whether or not the target person is a living body. Therefore, for example, it is possible to avoid a breakthrough of biometric authentication by an illegal method, or the like.

Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.

Image processing systems and methods are provided for authorizing the performance at a computer terminal of an age-restricted activity. An estimated human age is determined based on human characteristics of a structure detected in an image captured at the computer terminal. It is determined whether the structure exhibits at least one liveness characteristic indicating the human characteristics from which the estimated human age is determined have been captured directly from a living human at the computer terminal. A positive determination is made as to whether performance of the age-restricted activity is authorized if the estimated human age meets a predetermined age requirement and the structure is determined to exhibit at least one liveness characteristic, and a negative determination is made if: i) the estimated human age does not meet the predetermined age requirement; and/or ii) the structure is not determined to exhibit at least one liveness characteristic.

A dermatoglyph detector includes a detection circuit and an electronic processor unit. The detection circuit includes an electrically conductive thin film in which there are formed both electrodes that are arranged to come into contact with the skin of a portion of a human body and also conductive tracks connecting the electrodes to the processor unit. The processor unit is arranged to determine electrical characteristics of the body portion extending between each pair of electrodes in contact with the skin, and to execute a computer program for acting on the basis of the determined electrical characteristics to distinguish between an authentic body portion and a fake body portion. The detection circuit includes at least two track segments of different shapes between two calibration terminals so as to present an impedance ratio that is not equal to unity.