Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An emulation system receives a swipe along a finger sensor to set a computer display in motion. After the swipe is completed, the display continues along its previous path. Depending on their direction, subsequent swipes can be used to accelerate or decelerate the motion. Gradually, the display decelerates. In one embodiment, this deceleration simulates an inertial decay, providing the user with a pleasing display that gradually rolls to a stop. The deceleration is modeled on a joystick return-to-home inertial decay, allowing the user greater control when navigating over the display. The finger sensor is used to emulate different electronic devices, such as a mouse, a scroll wheel, and a rotating wheel.

Abstract: 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.

Abstract: An emulation system receives a swipe along a finger sensor to set a computer display in motion. After the swipe is completed, the display continues along its previous path. Depending on their direction, subsequent swipes can be used to accelerate or decelerate the motion. Gradually, the display decelerates. In one embodiment, this deceleration simulates an inertial decay, providing the user with a pleasing display that gradually rolls to a stop. The deceleration is modeled on a joystick return-to-home inertial decay, allowing the user greater control when navigating over the display. The finger sensor is used to emulate different electronic devices, such as a mouse, a scroll wheel, and a rotating wheel.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.