In accordance with various embodiments, the disclosed subject matter provides a mutual-capacitance touch sensing pattern recognition device, a related fabricating method, a related display panel, and a related display apparatus. The mutual-capacitance touch sensing pattern recognition device can comprise a plurality of sensing electrode lines and a plurality of driving electrode lines, wherein at least one set of the plurality of sensing electrode lines and the plurality of driving electrode lines have curved portions.

An object of the present invention is to provide a fingerprint authentication system, a fingerprint authentication program and a fingerprint authentication method that can achieve high-speed processing.

A fingerprint authentication system includes a plurality of stages (n+1 stages) of indexes, a registration part in which fingerprint data FD is registered as fingerprint data TFD according to the indexes, and a checking device that checks the fingerprint data FD against the registered fingerprint data TFD based on the indexes. The fingerprint data TFD can be classified into groups, the processing speed can be increased even if there is a large number of pieces of fingerprint data TFD registered.

Disclosed herein is a pixel structure comprising a plurality of layers for providing a touch sensitive pixel of a sensing array. The pixel comprises: a thin film transistor, a capacitive sensing electrode, and a reference capacitor comprising a first plate and a second plate. The capacitive sensing electrode and the second plate of the reference capacitor are connected to a gate region of the thin film transistor. Methods of manufacturing such a touch sensitive pixel are also disclosed herein.

The present disclosure provides an ultrasonic sensor pixel circuit, a driving method thereof and a display panel. The ultrasonic sensor pixel circuit includes a detection module, of which a first terminal is connected with an ultrasonic sensing unit and a second terminal is connected with a first signal terminal, and the detection module is configured to generate a detection voltage according to an electric signal output from the ultrasonic sensing unit under control of the first signal terminal; an output module, of which a first terminal is connected with a third terminal of the detection module and a second terminal is connected with a read line, and the output module is configured to generate an output signal according to the detection voltage and provide the output signal to the read line.

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.

A display panel, a manufacturing method thereof, and a display device are provided. The display panel includes a driving backplate, functional component groups, and micro-LED chips. The functional component groups are integrated in regions where the micro-LED chips are not disposed and are multiplexed as alignment marks. In a mass transfer process of the micro-LED chips, the alignment marks are prevented from additionally occupying pixel space by using part of functional components multiplexed as the alignment marks under a precondition of ensuring alignment accuracy.

A fingerprint identification assembly is disclosed. The fingerprint identification assembly includes first point light sources for emitting first signal light; second point light sources for emitting second signal light after the first point light source emits the first signal light; light sensitive units configured to sequentially receive the first signal light and the second signal light reflected by a finger; and an optical filter layer provided on a light entry side of the light sensitive unit. The optical filter layer includes first filter units, the first filter unit corresponds to a non-imaging area that is formed on the light sensitive units after the first point light source is lit, for preventing the first signal light reflected by the finger from irradiating the non-imaging area of the light sensitive units, and allowing the second signal light reflected by the finger to irradiate the non-imaging area of the light sensitive units.

A method for fingerprint authentication according to an embodiment of the present disclosure includes, in response to receiving an authentication request, performing fingerprint image acquisition and comparison of a first mode, and selectively performing fingerprint image acquisition and comparison of a second mode, and performing authentication at least based on a comparison result of the first mode. In the first mode, a fingerprint image generated by a pressing operation of a target finger in a fingerprint acquisition area is acquired, and in the second mode, a fingerprint image sequence generated by a sliding operation of the target finger in the fingerprint acquisition area is acquired. A selective fingerprint authentication security mode can be provided as needed, so as to meet various authentication requirements.

A computer-implemented method for generating a representation for a fingerprint includes receiving, by a computer processor, an image of a given fingerprint. The method extracts particular attributes for the given fingerprint from the image using a first neural network. The first neural network is trained to identify particular attributes in fingerprints and constructs a first feature vector from the extracted particular attributes, where the first feature vector has a first fixed length. The method includes extracting textural features of the given fingerprint from the image using a second neural network, where the second neural network is trained to identify textural features that are not limited to particular attributes and constructing a second feature vector from the extracted textural features, where the second feature vector has a second fixed length. The method includes concatenating the first feature vector with the second feature vector to form a representation for the given fingerprint.

Provided is a touch display device that can sense a touch input of a finger with the touch display device, recognize a finger touch position, specify a fingerprint sensing area, and sense a fingerprint in the fingerprint sensing area. Provided is also a touch display device that does not need a particularly fingerprint sensing line by performing fingerprint sensing using data lines of the touch display device and that can sense a fingerprint without decreasing a fingerprint sensing performance by minimizing a parasitic capacitance which can be generated in data lines, gate lines, touch electrodes, or the like at the time of sensing a fingerprint.