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.

Disclosed in the present specification is a method for driving a display device capable of scanning an image, the display device comprising: a display module including a plurality of unit pixels arranged in a display area in which an image is displayed; and a contact sensor module forming a sensing area, which overlaps with the display area, and including at least one contact sensor respectively corresponding to the unit pixels, and the method comprising: a sensing mode identification step of identifying a sensing mode of the display device; a contact sensor selection step of selecting contact sensors to be activated, according to the identified sensing mode; and a contact sensor activation and sensing step of activating the selected contact sensors and receiving sensing signals from the activated contact sensors.

An image processing apparatus includes an image division unit, an image processing unit, and an integration unit. The image division unit divides a palm print image into a plurality of divisional images. The image processing unit determines a valid region in each of the plurality of divisional images by using a fingerprint model, performs image processing that extracts core lines in each valid region, and generates respective processed divisional images corresponding to the divisional images. The integration unit generates an entire processed image corresponding to an entire of the palm print image by integrating the processed divisional images.

An image processing device comprises an input unit, a characteristic amount calculation unit, a characteristic amount vector calculation unit, and a characteristic identification unit. The input unit receives an image. The characteristic amount calculation unit calculates an image characteristic amount characterizing a texture of a local area of the image received by the input unit. The characteristic amount vector calculation unit calculates a first characteristic amount vector corresponding to the local area from the image characteristic amount. The characteristic identification unit identifies a characteristic of the local area on the basis of the first characteristic amount vector and a second characteristic amount vector calculated by the same method as the first characteristic amount vector and calculated from an image whose characteristic has been determined in advance.

A method for controlling unlocking and a terminal includes the follows. Feature points of class i of a finger of a user is acquired by scanning the finger with the i.sup.th scanning partition of a fingerprint recognition sensor of a terminal, the fingerprint recognition sensor has M scanning partitions, M is a positive integer not less than 2 and i is a positive integer not greater than M. The acquired feature points of class i is added into a current feature point set. A matching process is performed between the current feature point set and a pre-stored fingerprint template. The terminal is unlocked when the current feature point set is matched.

A method for unlocking a mobile terminal may include the follows. A set of feature points are acquired. The set of the feature points are acquired via a scanning partition of a fingerprint recognition sensor. The fingerprint recognition sensor includes M scanning partitions, the number of sensing electrodes within each of the M scanning partitions is greater than a first preset threshold, and M is a positive integer greater than 1. The mobile terminal is unlocked when the set of the feature points are successfully matched with a template stored in advance in the mobile terminal.

A biometric analysis structure, method and neural network with coded mask are provided. The biometric analysis structure includes a display panel, a light source, and a sensor. The sensor is disposed on the optical path of light from the light source and reflected by the display panel. The biometric analysis structure includes an coded mask. The coded mask is disposed on the optical path in front of the sensor. the coded mask is represented as a first matrix in a matrix form and the first matrix is a delta function after satisfying an autocorrelation operation. The resulting image can be inversely resolved based on the image of the coded mask. Thus, the security of the fingerprint recognition method is improved, and the thickness of the entire imaging structure is reduced.

A fingerprint sensor includes a pixel array, an analog-to-digital converter, and a reference signal generator. The pixel array includes a plurality of unit pixels arranged in rows and columns, and each of the plurality of unit pixels generates an analog signal by detecting a fingerprint of a user. The analog-to-digital converter performs an analog-to-digital conversion operation on the analog signal to generate a digital signal. The analog-to-digital converter is configured to perform the analog-to-digital conversion based on a reference signal. The reference signal generator generates the reference signal such that the reference signal decreases at a first rate from a start voltage, and adjusts a magnitude of the start voltage based on the digital signal.

A sensor acquires the same type of biometric information from plural fingers in association with an ID. A processor generates feature data used for verification from the biometric information, and generates characteristic data used for calculation of similarity between the plural fingers from the biometric information. Next, the processor compares the characteristic data and calculates the similarity between the plural fingers. The processor determines whether the feature data is registrable based on the similarity, and a memory stores the feature data in association with the ID when the feature data is registrable.