In the examples provided herein, a vascular pattern recognition system integrated onto a portable card includes a vascular pattern detection system to obtain image data of blood vessels of a finger to be swiped across a detection area on the portable card, wherein the vascular pattern detection system includes a near infrared light source and an image sensor array. The vascular pattern recognition system also includes an image processor to process the image data to generate a scanned vascular pattern and compare the scanned vascular pattern to a pre-stored pattern stored on the portable card to authenticate the image data, and a security processor to generate a transaction code to authorize a transaction upon authentication of the image data.

Contactless fingerprint reader. The contactless fingerprint reader has one or more light sources adapted to emit light under different lighting conditions, a first camera adapted to successively capture first images of a subject captured with and without flash light, at least one second camera adapted to capture second images from different angles, one or more sensors adapted to generate one or more spatial-temporal signals representing a change of a distance between said subject and one or more locations of the contactless fingerprint reader, and communication module for sending the first images, said second images, and the one or more spatial-temporal signals to an anti-spoofing device.

A fake finger in which a transparent thin film is attached to a finger surface is discriminated. A fake-finger determination device includes: an imaging unit 10 that captures an authentication object as a fingerprint authentication object; a classifying unit 31 that classifies an image captured by the imaging unit 10 into a plurality of regions including at least a skin region and a background region using colors of pixels included in the image; and a determining unit 32 that determines whether or not a foreign substance is present in the periphery of a finger based on a feature of a region classified as neither the skin region nor the background region out of the regions classified by the classifying unit 31.

A method for controlling unlocking is provided. At least one first fingerprint image is received when a touch operation of a finger of a user on a fingerprint recognition senor of a terminal is detected. At least one second fingerprint images is received based on CAC parameters when the finger of the user is in the steady state. A first target fingerprint image is determined and a matching process on the first target fingerprint image. The terminal is unlocked when the first target fingerprint image is matched.

An apparatus, method and system are provided for sensing an individual's biometric information, and generating and transmitting an acoustic signal representative of the sensed biometric information. The acoustic signal may be transmitted as an audio signal or an ultrasonic signal to another apparatus in the system for authentication or verification of the individual's identity.

A device for recognition from biometric characteristics extracted from at least one image of at least one iris of a candidate for recognition, the device having an image sensor with a field covering a capture zone in which at least one of the eyes of the candidate for recognition is intended to be located, and an illumination source of the capture zone, the illumination source emitting incident radiation in a wavelength range adapted to excite iris fluorescence and the sensor being arranged to be sensitive to iris fluorescence. Recognition method using such a device.

A method for distinguishing a real three-dimensional object from a two-dimensional spoof of the real object, the method comprising: obtaining, by an optical sensor of a mobile device, an image containing either the spoof or the real object; providing the image to a neural network; processing the image by the neural network by: calculating at least one of: 1) a distance map representative of the distance of a plurality of pixels to the optical sensor; or 2) a reflection pattern representative of light reflection associated with a plurality of pixels constituting at least a portion of the object within the image; and comparing at least one of the calculated distance map or the calculated reflection pattern with a learned distance map or a learned reflection pattern, to determine that the image contains either the spoof or the real object.

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.

A portable identification device comprises a biometric recognition system in combination with GPS or equivalent receivers for carrying out identification checks. The device is a basic portable unit.

A display device including a fingerprint sensor including a first layer having at least one photo sensor to generate a fingerprint image corresponding to reflected light from a fingerprint contact surface, light emitting elements to transmit light reflected by the fingerprint, and a second layer including pin holes to allow reflected light to be incident upon the at least one photo sensor; and a fingerprint detector to receive the fingerprint image from the fingerprint sensor, to extract a first image corresponding to a first region of the fingerprint and a second image corresponding to a second region of the fingerprint, to compare the first and second images to determine similarity, and to perform fingerprint authentication, based on similarity determination, where the fingerprint first region is in contact with the fingerprint contact surface and the fingerprint second region is not in contact with the fingerprint contact surface.