The present disclosure provides a texture detection module, a method for driving the same and a display device. The texture detection module includes: an emission electrode layer; a receiver electrode layer; and a piezoelectric film between the emission electrode layer and the receiver electrode layer. The emission electrode layer includes emission electrodes, first emission signal lines and second emission signal lines. The emission electrodes include first emission sub-electrodes and second emission sub-electrodes that are insulated from the first emission sub-electrodes. The first emission sub-electrodes are arranged in N rows and M columns, N and M are both positive integers; the first emission sub-electrodes located in an identical row are electrically coupled to one identical first emission signal line. The second emission sub-electrodes are arranged in X rows and Y columns, X and Y are both positive integers; the second emission sub-electrodes located in an identical column are electrically coupled to one identical second emission signal line.

A display device includes a substrate including a display area and a photo sensing area overlapping the display area, a plurality of pixels disposed at the display area and having an emission area, and a plurality of photo sensors disposed at the photo sensing area and having an effective sensing area. Each of the plurality of pixels includes a light-emitting element including a display pixel electrode, an emissive layer, and a common electrode. Each of the plurality of photo sensors includes a photo sensing element including a sensing electrode, a photoelectric conversion layer and the common electrode. The common electrode is disposed between the emissive layer and the photoelectric conversion layer. A center point of the effective sensing area is located in the emission area in a plan view.

A fingerprint recognition device including: a sensing panel including a plurality of sensing blocks, wherein each of the sensing blocks includes a plurality of sensors; a scan driving unit configured to provide a scan signal to the sensors; and a timing controller configured to provide a second initiation signal to the scan driving unit, wherein each of the sensors includes a reference capacitor and a sensing capacitor, the scan driving unit includes scan drivers that correspond to rows of the sensing blocks, in a fingerprint recognition mode, the timing controller provides the second initiation signal to a scan driver corresponding to a sensing block where a touch input is generated, and in a touch mode, the timing controller sequentially provides the second initiation signal to the scan drivers.

An image processing apparatus includes a first skeleton extraction means, a second skeleton extraction means, and an integration unit. The first skeleton extraction means discriminates a valid region and an invalid region in a fingerprint image which is input, and extracts skeleton lines in the valid region. The second skeleton extraction means extracts skeleton lines in the invalid region. The integration unit generates a skeleton image by integrating the skeleton lines extracted in the valid region and the skeleton lines extracted in the invalid region.

A stripe pattern image collating device according to the example embodiment includes a feature extracting unit that extracts a feature point and a skeleton from a first stripe pattern image and a second stripe pattern image in which a stripe pattern is formed of ridges, and generates feature point data and skeleton data. A skeleton collating unit that collates two sets of pieces of the feature point data and pieces of the skeleton data that are extracted from each of the first stripe pattern image and the second stripe pattern image, and calculates a collation score. An image analyzing unit that analyzes the second stripe pattern image with respect to an area in which an opposite feature point pair of the first stripe pattern image exists, calculates an image analysis score, and corrects the collation score.

A mobile device comprising memory configured to store instructions; and a processor, the instructions configured to cause the processor to: capture small specimens of livescan fingerprint ridges using a scaled down fingerprint sensor, use RSM matching to find the ridge structure in a matching reference, use Level 3 Features to confirm the livescan-to-reference match, and use Level 3 features selectively based on “guidance” provided using Level 2 features.

Disclosed is a biometric information acquisition system and a processing method thereof. The biometric information acquisition system comprises a transparent substrate; a light source; a photoelectric conversion device, which is located at one side of the transparent substrate with the light source, receives light reflected by the transparent substrate and generates electrical signals; a processing device for obtaining biometric information based on the electrical signals. At least a portion of the transparent substrate is made of flexible material, and fits a predetermined portion of an organism on the other side of the transparent substrate based on a curved interface, therefore, ambient light incident to the photoelectric conversion device is reduced, an interference caused by the ambient light is reduced, accuracy of acquiring biometric characteristic information is improved. Because fitting with the curved interface can increase contact area, more biometric characteristic information of the predetermined portion can be obtained.

The present invention provides a fingerprint sensor module assembly integrated with a cover window for an electronic device. The fingerprint sensor module assembly, according to one embodiment of the present invention, comprises: the cover window; a fingerprint sensor module; and an adhesion part. The cover window is disposed on a front surface of the electronic device. An image is generated from a display module and displayed on the cover window. The fingerprint sensor module is coupled to a seating part which is disposed on a lower surface of the cover window. The fingerprint sensor module comprises a fingerprint sensor having a sensing unit for sensing fingerprints; and a substrate electrically connected to the fingerprint sensor. The adhesion part is disposed between the seating part and the fingerprint sensor module and configured to fix the fingerprint sensor module in the seating part.

A fingerprint sensor assembly includes a capacitive fingerprint sensor disposed beneath a thin layer of glass and a reinforcement layer of a material of relatively high dielectric constant bonded to the glass between the glass layer and the sensor.

A touch sensor includes a plurality of first electrodes, a plurality of second electrodes, and a capacitance measurer configured to measure mutual capacitances between the plurality of first electrodes and the plurality of second electrodes. Each of the first electrodes includes a plurality of loop patterns.