Synaptics Corporation

Rohini Krishnapura

Anthony P Russo

Philip Yiu Kwong Chan

Larry E Hattery

A system and method for performing spoof detection are disclosed. The method includes: receiving an input image of a biometric; computing a gradient image of the biometric based on the input image of the biometric; dividing the gradient image into blocks of pixels; computing, for each block, a variance value corresponding to a variance of the pixels in the block; and, determining whether the input image is a replica of the biometric based on the variance values of the blocks of the gradient image.

Systems and methods for a gradient-based metric for spoof detection

Disclosed are a system and method for performing spoof detection. The method includes: receiving, by processor from a biometric sensor, an input image of a biometric; obtaining, by the processor, keypoint locations of keypoints in the input image, wherein keypoints in the input image comprise local regions of interest in the input image; computing, by the processor, one or more anti-spoof metrics of the input image based on the keypoint locations; and, determining, by the processor, whether the input image is a replica of the biometric based on the one or more anti-spoof metrics.

Systems and methods for spoof detection based on local interest point locations

Disclosed is a system and method for performing spoof detection. The method includes: receiving, by a processor from a biometric sensor, an input image of a biometric; obtaining, by the processor, alignment information that aligns the input image to an enrollment image; determining, by the processor, an overlap region and a non-overlap region of the input image relative to the enrollment image; extracting, by the processor, one or more anti-spoof features from the input image based on one or more of the overlap region and the non-overlap region; and, determining, by the processor, whether the input image is a replica of the biometric based on the one or more anti-spoof features.

Systems and methods for improving spoof detection based on matcher alignment information

A method and a device are provided for performing a recognition process. The recognition process compares an individual fingerprint view to a fingerprint enrollment template in order to determine whether a match has been found. The determination of a match is based on individual match statistics collected between the individual fingerprint view and each view of the fingerprint enrollment template. Additionally, inter-view match statistics between each view of the fingerprint enrollment template may also be determined. The inter-view match statistics can be analyzed along with the individual match statistics to further inform the determination of a match between the individual fingerprint view and the fingerprint enrollment template.

Multi-view fingerprint matching

Systems and methods for determining a threat level are disclosed. A method includes: receiving, from a biometric sensor, data corresponding an attempt to verify an identity of a user; determining, based on the data corresponding to the attempt, one or more authentication parameters associated with the attempt; authenticating the user based on determining that a score associated with the attempt satisfies an authentication condition associated with a biometric template; after authenticating the user, determining one or more device usage parameters within a time window of authenticating the user; determining a threat level based on the one or more authentication parameters and the one or more device usage parameters; and, causing an action to be performed by the device in accordance with the threat level.

Systems and methods for biometric authentication

A system and method is disclosed for comparing biometric image data to a stored enrollment template that may comprise collecting a set of biometric image data for a biometric object image from a biometric object imaging sensor; storing the biometric object image data in a memory as an enrollment template for further comparison to find a match with subsequently imaged biometric object image data; collecting a subsequent set of biometric image data for a biometric object image from the biometric object imaging sensor; updating the enrollment template; determining if a limited enrollment window remains open; and repeating the collecting of a subsequent set of biometric data step if the enrollment window remains open. Determining if the enrollment window remains open may be by determining the existence of one of a stability indicator and an instability indicator.

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Fremont, CA, United States of America

Rohini Krishnapura