A texture recognition apparatus and an electronic apparatus are provided. The texture recognition apparatus has a touch side surface, and includes a light source array, an image sensor array and a light shielding matrix, the light source array includes a plurality of light sources; the image sensor array includes a plurality of image sensors, the plurality of Image sensors are configured to receive light emitted from the plurality of light sources and reflected by a texture to the plurality of image sensors; the light shielding matrix includes a plurality of light shielding element; the plurality of light sources do not overlap with the plurality of light shielding patterns, a photosensitive element of each of the plurality of image sensors at least partially overlaps with at least one of the plurality of light shielding patterns.

A texture recognition apparatus and an electronic apparatus are provided. The texture recognition apparatus has a touch side surface, and includes a light source array, an image sensor array, and a light shielding layer. The light source array includes a plurality of light sources; the image sensor array includes a plurality of image sensors, each image sensors includes a photosensitive element; the light shielding laver is on a light incident side of the image sensor array, the light shielding layer includes a plurality of light-transmitting holes; the plurality of light-reflected by the texture to a direction perpendicular to the touch side surface; and in the direction perpendicular to the touch side surface, a photosensitive element in each image sensor at least partially overlaps with at least one of the plurality of light-transmitting holes.

Methods for augmenting a training image base representing a print on a background, for training parameters of a convolutional neural network, CNN, or for classification of an input image The present invention relates to a method for augmenting a training image base representing a print on a background, characterized in that it comprises the implementation, by data processing means (11) of a server (1), of steps of: (b) For at least a first image of said base, and a ridge map of a second print different from the print represented by said first image, generation by means of at least one generator sub-network (G.sub.B, G.sub.M, G.sub.LT) of a generative adversarial network, GAN, of a synthetic image presenting the background of said first image and representing the second print.

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.

An authentication method implemented by a computer, the authentication method including: extracting a feature amount of each of a plurality of feature points of a living body from imaged data of the living body; calculating a similarity between the feature amount of each of the plurality of feature points and a feature amount stored in a storage unit in association with a feature point that corresponds to each of the plurality of feature points; referring to the storage unit that stores weight information that indicates a weight to be applied to a similarity in association with the similarity to acquire the weight information associated with the calculated similarity; and executing authentication processing on the living body based on a similarity that is newly generated by applying the acquired weight information to the calculated similarity.

A display control apparatus includes: a setting unit that sets a parameter according to an input of a user; a determination unit that determines, for each of areas of a fingerprint image obtained by dividing the fingerprint image, whether quality of a ridge pattern in the area is satisfactory or not based on the parameter; and a first display control unit that makes display means display the fingerprint image according to a result of the determination.

Methods, systems, and programming for identifying a person are presented. In one example, a first set of candidates is determined based on a fingerprint image acquired from a finger of the person. A second set of candidates is determined based on a finger vein image acquired from the finger. The person is recognized based on the first and/or second set of candidates.

Systems and methods for optical imaging are disclosed. An optical sensor for imaging a biometric input object on a sensing region includes a transparent layer having a first side and a second side opposite the first side; a set of apertures disposed above the first side of the transparent layer; a first set of reflective surfaces disposed below the second side of the transparent layer configured to receive light transmitted through the first set of apertures and to reflect the received light; a second set of reflective surfaces disposed above the first side of the transparent layer configured to receive the light reflected from the first set of reflective surfaces and to further reflect the light; and a plurality of detector elements positioned to receive the further reflected light from the second set of reflective surfaces.

A circuit, system, and method for measuring or detecting pressure or force of a fingerprint on an array of electrodes is described. Pressure or force may be measured or detected using a processed image of the fingerprint, or by measurement of capacitance of deformed variable capacitors.

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.