Abstract: Systems and methods for authentication are disclosed.

Abstract: Systems and methods for biometric authentication are disclosed. A system comprises a biometric sensor and a processing system configured to: receive, from the biometric sensor, data corresponding to a first attempt to validate an identity of a user; determine that a first score associated with the first attempt satisfies an authentication condition associated with a first biometric template; receive, from the biometric sensor, data corresponding to at least one subsequent attempt to validate the identity of the user, wherein the at least one subsequent attempt is received after the first attempt; determine that a second score associated with the at least one subsequent attempt satisfies the authentication condition; identify, based on the first score and the second score, a trend in the scores associated with attempts that satisfy the authentication condition; and, in response to identifying the trend, request the user to enroll a second biometric template.

Abstract: Systems and methods for sequential matching during user authentication are disclosed. A process for authenticating includes acquiring a first set of biometric data during a first authentication attempt and comparing the first set of biometric data with a set of enrollment data. The process further includes acquiring a second set of biometric data during a second authentication attempt, the second authentication attempt being subsequent to the first authentication attempt; comparing the second set of biometric data with the set of enrollment data; and forming a match score based analysis of the first set of biometric data, the second set of biometric data and the set of enrollment data. The process authenticates the user when sufficient confidence of a match exists.

Abstract: Systems and methods for image alignment are disclosed. A method includes: determining a first set of patches for a first image and a second set of patches for a second image, wherein each patch in the first and second sets of patches comprises a portion of the first and second image, respectively; determining a set of possible match pairings of a patch from the first set and a patch from the second set; for each match pairing in the set of possible match pairings, computing a transformation operation to align the patch from the first set of patches and the patch from the second set of patches in the match pairing; grouping the match pairings into clusters based on parameters of the transformation operations of the match pairings; and, performing the transformation operation corresponding to at least one cluster to align the first image to the second image.

Abstract: 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.

Abstract: A three-dimensional scanning system includes: a camera configured to capture images; a processor; and memory coupled to the camera and the processor, the memory being configured to store: the images captured by the camera; and instructions that, when executed by the processor, cause the processor to: control the camera to capture one or more initial images of a subject from a first pose of the camera; compute a guidance map in accordance with the one or more initial images to identify one or more next poses; control the camera to capture one or more additional images from at least one of the one or more next poses; update the guidance map in accordance with the one or more additional images; and output the images captured by the camera to generate a three-dimensional model.

Abstract: Systems and methods for providing visual feedback to a user during fingerprint acquisition. An abstract image or feedback image including a visual representation of the shape of the currently acquired part of the finger is displayed, which provides implicit feedback to the user as to what portion of the fingerprint may be missing. The feedback image also includes a visualization representing a quality of the image, which implicitly alerts the user as to potential problems with the fingerprint presented and imaged. The implicit feedback encourages the user, without explicit prompts, as to how to move the finger to help improve fingerprint coverage or to adjust the quality of the fingerprint presented.

Abstract: Systems and methods for authentication are disclosed.

Abstract: Systems and methods for image alignment are disclosed. A method includes: determining a first set of patches for a first image and a second set of patches for a second image, wherein each patch in the first and second sets of patches comprises a portion of the first and second image, respectively; determining a set of possible match pairings of a patch from the first set and a patch from the second set; for each match pairing in the set of possible match pairings, computing a transformation operation to align the patch from the first set of patches and the patch from the second set of patches in the match pairing; grouping the match pairings into clusters based on parameters of the transformation operations of the match pairings; and, performing the transformation operation corresponding to at least one cluster to align the first image to the second image.