A fingerprint identification device and a manufacturing method thereof, and a light guide component are provided, the fingerprint identification device includes: a display panel including a light-emitting surface and an opposite side opposite to each other, the light-emitting surface being configured to approach valley and ridge of a fingerprint to be identified; a light guide component disposed on the opposite side; and a light sensing component disposed on a side of the light guide component away from the display panel, the light guide component includes a light-shielding film layer made of a black light-shielding material, the light-shielding film layer is provided with a plurality of light-passing holes arranged in an array, and each of the light-passing holes has a light collecting angle of θ, which is less than or equal to the maximum light collecting angle α at which the valley and ridge of the fingerprint can be distinguished.

Technologies are presented herein in support of a system and method for performing fingerprint recognition. Embodiments of the present invention concern a system and method for capturing a user's biometric features and generating an identifier characterizing the user's biometric features using a mobile device such as a smartphone. The biometric identifier is generated using imagery captured of a plurality of fingers of a user for the purposes of authenticating/identifying the user according to the captured biometrics and determining the user's liveness. The present disclosure also describes additional techniques for preventing erroneous authentication caused by spoofing. In some examples, the anti-spoofing techniques may include capturing one or more images of a user's fingers and analyzing the captured images for indications of liveness.

Systems and methods for aligning images are disclosed. A method includes receiving an input image of a biometric object; identifying a plurality of sets of candidate transformations, wherein each set of candidate transformations included in the plurality of sets of candidate transformations aligns the input image to a different enrollment image included in a plurality of enrollment images; grouping the plurality of sets of candidate transformations into a combined set of candidate transformations; selecting a subset of candidate transformations from the combined set of candidate transformations; and, identifying a first transformation based on the selected subset of candidate transformations, wherein the first transformation aligns the input image to a first enrollment image included in the plurality of enrollment images.

A biometric input system includes: a biometric sensor, configured to generate a biometric image comprising features of an input biometric object; and a processing system, configured to receive the biometric image, generate a feature map from the biometric image, perform a distance transform on the feature map, and determine an attribute of the biometric image from the distance transform. The processing system is further configured to compare the determined attribute of the biometric image with corresponding attributes of enrolled biometric images, and, based on the comparison, to eliminate enrolled biometric images from a matching process for the biometric image, wherein the matching process is performed after the elimination and comprises comparison of the biometric image to remaining enrolled biometric images based on one or more attributes of the biometric image other than the determined attribute.

An optical sensor for imaging a biometric object includes: a cover layer transparent to light reflected off the biometric object; an optical layer, disposed below the cover layer, having a plurality of diffractive optical elements; and a sensing layer, having a plurality of sensing elements disposed below the optical layer, each of the sensing elements being configured to detect light from the biometric object. The plurality of diffractive optical elements of the optical layer are configured to direct light from the biometric object to the plurality of sensing elements.

A sensor has drive lines and transverse pickup lines to define an electrode pair where each pickup line crosses a drive line. A reference pickup line is arranged parallel to the pickup lines and a compensation drive line is arranged parallel to the drive lines. A signal source provides a first signal to the drive lines and a second signal that is the inverse of the first signal to the compensation drive line. An amplifier has a first input connected to a pickup line, a second input connected to a reference pickup line, and a output indicative of an object in contact with the electrode pair(s). Each impedance between the compensation drive line and a pickup line, between the reference pickup line and a reference drive line, and between the compensation drive line and the reference pickup line is equal to the impedance at the electrode pair when no object is contact with the electrode pair.

Disclosed are systems, devices and methods for providing fingerprint sensors based on ultrasound imaging techniques in electronic devices and fabrication techniques for producing ultrasound-based fingerprint sensors. In some aspects, an ultrasound fingerprint sensor device includes an intermediate layer coupled to a base chip including an integrated circuit having conducive contacts at a surface of the base chip, the intermediate layer including an insulation layer formed on the base chip and a corresponding array of channeling electrode structures coupled to the conductive contacts and passing through the insulation layer, in which the channeling electrodes terminate at or above a top surface of the insulation layer to provide bottom electrodes; a plurality of ultrasonic transducer elements including an acoustic transducer material coupled to the bottom electrodes; and a plurality of top electrodes positioned on the ultrasonic transducer elements.

A pixel module and a fingerprint identification system are provided. The pixel module includes: a top-layer electrode, configured to receive a contact of a finger, a contact capacitance being formed between the top-layer electrode and the finger; a pixel circuit, configured to detect a capacitance value of the contact capacitance; and a resistor, coupled between the top-layer electrode and the pixel circuit. The pixel module suppresses the electrostatic current formed by the electrostatic charges, thereby achieving the effect of electrostatic protection.

A touch screen, now incorporated in most smart phones, presents an effective and transparent method to incorporate continuous active user verification schemes. The projected capacitive grid structure can be used to capture information, such as from the user's fingerprint. This information may be used to verify the user, or that a valid user currently has possession of the mobile device, even while the user is not consciously engaged in an active verification interface. Further processing, such as habitual gesture recognition, can augment the process.

Embodiments of an automated method of processing fingerprint images, identity information is extracted from prints typically classified as having “no identification value” because of sparse or missing minutiae by capturing ridge contour information. Bezier approximations of ridge curvature are used as Ridge Specific Markers. Control points arising from Bezier curves generate unique polygons that represent the actual curve in the fingerprint. The Bezier-based descriptors are then grouped together and compared to corresponding reference print Ridge Specific Marker data. The method makes it possible to fuse a plurality of individual latent print portions into a single descriptor of identity and use the resulting data for comparison and identification. Processing of poor quality reference prints according to the methods disclosed renders these prints useable for reference purposes.