Semiconductor package having self-aligned structure disclosed. Semiconductor package includes a semiconductor chip having an active area and at least one marginal area that is located around the active area, wherein at least one alignment bar is arranged on the marginal area and a top structure being arranged on the semiconductor chip and having a groove being formed on a bottom surface, wherein the groove is configured for accommodating the alignment bar.

The present invention relates to a method for classifying a biometric trait represented by an input image, the method being characterized in that it comprises the implementation, by data processing means (21) of a client (2), of the steps of: (a) Determining, for each of a predefined set of possible general patterns of biometric traits, by means of a convolutional neural network, CNN, whether said biometric trait presents or not said general pattern.

Disclosed is an electronic device including a display, a touch recognition sensor that recognizes a touch input on the display; a fingerprint recognition sensor that recognizes a fingerprint input on the display, and a processor coupled to the display, the touch recognition sensor, and the fingerprint recognition sensor, wherein the processor is configured to activate the touch recognition sensor, display at least one user interface that receives the fingerprint input on a fingerprint recognition area of the display, activate at least a portion of the fingerprint recognition sensor, and selectively deactivate a portion of the touch recognition sensor corresponding to the activated portion of the fingerprint recognition sensor.

An example system drives one or more transmit signals on first electrodes disposed in a first layer and propagating electrodes disposed in a second layer. The system measures a capacitance of sensors through a of second electrodes. Each second electrode crosses each first electrode to provide a plurality of discrete sensor areas, each discrete sensor area associated with a difference crossing and including a portion of at least one propagating electrode. Each second electrode is galvanically isolated from the first electrodes and the propagating electrodes.

A display device includes a display panel displaying an image on one surface thereof, a substrate including a first surface and a second surface, wherein the first surface faces the display panel, and a first touch sensor provided between the display panel and the substrate, wherein the substrate includes a recess on the first surface, and the first touch sensor is arranged on at least a portion of the recess.

We present several unique techniques for using touch sensor arrays to detect fingerprints and authenticate a user.

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.

Fingerprint encryption method and device, fingerprint decryption method and device, storage medium and terminal are provided. The fingerprint encryption method includes: acquiring a fingerprint image; dividing the fingerprint image into a plurality of block images according to a preset window, wherein a size of the block image is the same with a size of the preset window; determining identifiers of the plurality of block images, wherein the identifiers of the plurality of block images have a first preset order; and determining, according to the identifiers of the plurality of block images and a received encryption order, a plurality of encrypted block images to obtain an encrypted fingerprint image. Security of fingerprint storage or fingerprint transmission is enhanced.

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.

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.