A display device may include a display unit, a finger print sensing unit, and a timing control unit. The display unit includes a plurality of pixel units and includes a fingerprint recognition unit, which may generate first fingerprint data related to a fingerprint. The fingerprint sensing unit may extract a plurality of maxima corresponding to ridge portions of the fingerprint from the first fingerprint data to generate second fingerprint data and may generate luminance data based on the second fingerprint data. The timing control unit may calculate a degree of deterioration of the fingerprint recognition unit based on the luminance data to generate compensation data. The fingerprint recognition unit may receive a data signal corresponding to the compensation data.

Systems and methods for generating a three-dimensional representation of a surface using frustrated total internal reflection. The system may obtain a two-dimensional image of an object in close proximity to an imaging surface. The intensity of the electromagnetic radiation received for individual points on the object may be determined. The system may determine a distance between the imaging surface and the object at each of the individual points based on a correlation between the electromagnetic radiation transmitted towards the imaging surface and the electromagnetic radiation reflected from the imaging surface. The determined intensity of the electromagnetic radiation may indicate the electromagnetic radiation reflected from the imaging surface. A three-dimensional representation of the object may be generated based on the two-dimensional image and/or the determined distances between the imaging surface and the object at each of the individual points.

The present disclosure provides an apparatus and a method for fingerprint imaging. The apparatus includes: a light source configured to generate light, wherein a light intensity distribution of the light generated by the light source conforms to a preset encoding mode; a sensing surface on which the light generated by the light source forms a signal light with fingerprint information; and an imaging module configured to image the signal light to obtain a fingerprint image. Embodiments of the present disclosure can encode the fingerprint image by the encoding mode and can “encrypt” the fingerprint image by the encoding mode, thus a clear fingerprint image can be obtained by decoding based on obtaining the preset encoding mode, which can effectively improve the security of fingerprint imaging.

A biological feature identification device includes a display device and a sensing device. The display device includes multiple pixels arranged along a first direction. The pixels each has a sub-pixel having a display element and a switch element. The sensing device includes multiple sensing units arranged along a second direction. The sensing units each has a sensing element. When the spatial frequency relation is |4*(RE/100)−(1/SU)|>A, the first and second directions are the same, and the biological feature identification device satisfy the criteria: A<|4*(RE/100)−(1/SU)|<B. When the spatial frequency relation is |4*(RE/100)−(1/SU)|≤A, the first and second directions form an angle, and the biological feature identification device satisfy the criteria: A<|4*(RE/100)−{1/[SU*Cos(α)]}|<C. RE is the resolution of the display device, SU is the sensing unit size, α is the angle, 0°<α<90°, B and C>A, and A is not equal to zero.

A fingerprint extraction apparatus includes a fingerprint generation module configured to generate first and second virtual fingerprint images, perform primary image processing on the first virtual fingerprint image and primary and secondary image processing on the second virtual fingerprint images, and generate virtual overlapped fingerprint images by combining the first and second virtual fingerprint images on which image processing is performed; a machine learning module configured to generate a learning model by performing machine learning using the virtual overlapped fingerprint images as input data; and a fingerprint extraction module configured to extract a fingerprint located vertically on a center of a real image by inputting the real image to a target fingerprint extraction learning model, and the primary image processing comprises image processing on a curve forming a fingerprint, and the secondary image processing comprises image processing on a location of the fingerprint in the image.

A fingerprint processing device includes a match processing unit configured to determine, based on a first degree, a plurality of feature points having a large value of the first degree among the feature points of a fingerprint specified in a fingerprint image of a matching source, the first degree representing a first distance to other feature points, as representative feature points used in match processing of the fingerprint.

An electronic device is provided. The electronic device includes a display, a fingerprint sensor disposed on one surface of the display, a memory storing a plurality of fingerprint images mapped to information indicative of a plurality of guide lines, and a processor operatively connected to the display, the fingerprint sensor, and the memory. The processor may be configured to display a first user interface (UI) indicative of a fingerprint recognition area and, as a second UI, a guide line corresponding to a fingerprint image having a high quality value among the plurality of fingerprint images stored in the memory by using the display, based on an input signal to request fingerprint authentication being detected, obtain a fingerprint image of a finger by using the fingerprint sensor based on the finger of a user touching the fingerprint recognition area, compare the obtained fingerprint image and a fingerprint image mapped to information indicative of the first UI and/or the second UI, and perform the fingerprint authentication based on the obtained fingerprint image and the mapped fingerprint image being identical with each other based on a result of the comparison.

A texture recognition device and a display device are provided. The texture recognition device includes a backlight element, configured to provide first backlight; a light constraint element, configured to perform a light divergence angle constraint process on the first backlight to obtain second backlight with a divergence angle within a preset angle range, the second backlight being transmitted to a detection object; and a photosensitive element, configured to detect the second backlight reflected by a texture of the detection object to recognize a texture image of the texture of the detection object.

Designs of a sensor module with fewer number of pins are described. According to one aspect of the designs, a sensor module operates on a predefined number of clocks in a clock signal in contrast of rising or falling edges of clocks or pulses thereof commonly relied upon in a prior art sensor module, thus reducing considerably the requirements on the clock signals needed to support the sensor module. More importantly, the pins of the sensor module are far fewer than those in a prior art system. Subsequently, the complexity of supporting circuits for the sensor module in the sensor module of the present invention can be simplified.

A fingerprint identification sensor includes a base, and at least one light sensing unit disposed on the base. The at least one light sensing unit is configured to collect at least two different monochromatic lights of light reflected by a finger to identify a fingerprint.