Abstract: Disclosed herein are methods, apparatus, and systems for face biometric recognition. A biometric recognition device includes at least one non-visible illuminator, at least one image capture device, and a processor. The at least one image capture device and the at least one non-visible illuminator are in a differential measurement configuration. The processor determines one or more eyes and a face from one or more captured images, performs liveness detection by comparing one or more pupil images from even-odd image pairs from the one or more captured images, wherein a non-noise color or brightness difference indicates pupil liveness, performs face encoding on the live face to generate face template, performs face matching on the face template to generate a face result, and uses one or more of the liveness result and the face result to enable the user to access an object.

Abstract: Disclosed herein are methods, apparatus, and systems for seamless biometric self-enrollment. The method including automatically: capturing, by a biometric capture device, biometric modality data for a user in response to a presentation of a user trusted credential for logical access or access to an object during an enrollment process, determining, by an enrollment system, whether biometric modalities for the user are stable, generating a biometric modality template for each unstable biometric modality, replacing a matched stored biometric modality template with the biometric modality template when the biometric modality template is qualitatively better than the matched stored biometric modality template, performing stability accounting when the matched stored biometric modality template is at least qualitatively equal to the biometric modality template, and initiating access processing when at least all biometric modalities are stable and verified.

Abstract: Disclosed herein are methods, apparatus, and systems for seamless biometric self-enrollment. The method including automatically: capturing, by a biometric capture device, biometric modality data for a user in response to a presentation of a user trusted credential for logical access or access to an object during an enrollment process, determining, by an enrollment system, whether biometric modalities for the user are stable, generating a biometric modality template for each unstable biometric modality, replacing a matched stored biometric modality template with the biometric modality template when the biometric modality template is qualitatively better than the matched stored biometric modality template, performing stability accounting when the matched stored biometric modality template is at least qualitatively equal to the biometric modality template, and initiating access processing when at least all biometric modalities are stable and verified.

Abstract: Disclosed herein are methods, apparatus, and systems for iris recognition. A method includes acquiring at least two angularly differentiated iris images from a subject needing access, processing each of the at least two angularly differentiated iris images to generate at least one boundary delineated image from one of the at least two angularly differentiated iris images, applying image comparative analysis to the at least two angularly differentiated iris images to generate a boundary delineated image when the processing fails to produce the at least one boundary delineated image, segmenting and encoding one of the at least one boundary delineated image or the boundary delineated image to generate at least one iris template, matching the at least one iris template against an enrolled iris, and accepting the subject for access processing when the at least one iris template matches the enrolled iris.

Abstract: Disclosed herein are methods, apparatus, and systems for iris recognition. A method for weighted spoof contact lens detection includes requesting a subject to roll or tilt head when needing access via an iris recognition device, acquiring, by the iris recognition device, iris images of a rolled head, establishing, by the iris recognition device, a horizontal axis by connecting pupils in an iris image, matching, by the iris recognition device, at least one iris in the iris image to an enrolled iris, determining, by the iris recognition device, whether the horizontal axis is within a rotational variance of an enrolled horizontal axis associated with the enrolled iris, and rejecting, by the iris recognition device, access for the subject when the horizontal axis is greater than the rotational variance of an enrolled horizontal axis.

Abstract: Disclosed herein are methods, apparatus, and systems for iris recognition. A method includes acquiring at least two angularly differentiated iris images from a subject needing access, processing each of the at least two angularly differentiated iris images to generate at least one boundary delineated image from one of the at least two angularly differentiated iris images, applying image comparative analysis to the at least two angularly differentiated iris images to generate a boundary delineated image when the processing fails to produce the at least one boundary delineated image, segmenting and encoding one of the at least one boundary delineated image or the boundary delineated image to generate at least one iris template, matching the at least one iris template against an enrolled iris, and accepting the subject for access processing when the at least one iris template matches the enrolled iris.

Abstract: Disclosed herein are methods, apparatus, and systems for iris recognition. A method includes acquiring at least two angularly differentiated iris images from a subject needing access, processing each of the at least two angularly differentiated iris images to generate at least one boundary delineated image from one of the at least two angularly differentiated iris images, applying image comparative analysis to the at least two angularly differentiated iris images to generate a boundary delineated image when the processing fails to produce the at least one boundary delineated image, segmenting and encoding one of the at least one boundary delineated image or the boundary delineated image to generate at least one iris template, matching the at least one iris template against an enrolled iris, and accepting the subject for access processing when the at least one iris template matches the enrolled iris.

Abstract: Disclosed herein are methods, apparatus, and systems for face biometric recognition. A biometric recognition device includes at least one non-visible illuminator, at least one image capture device, and a processor. The at least one image capture device and the at least one non-visible illuminator are in a differential measurement configuration. The processor determines one or more eyes and a face from one or more captured images, performs liveness detection by comparing one or more pupil images from even-odd image pairs from the one or more captured images, wherein a non-noise color or brightness difference indicates pupil liveness, performs face encoding on the live face to generate face template, performs face matching on the face template to generate a face result, and uses one or more of the liveness result and the face result to enable the user to access an object.

Abstract: Disclosed herein are methods, apparatus, and systems for iris and periocular biometric recognition. A method for biometric recognition includes capturing one or more image frames of at least a facial portion of a user, determining an iris image portion and a periocular region image portion from the one or more image frames, performing iris encoding on a live iris image portion to generate an iris template, performing periocular region encoding on a live periocular region image portion to generate a periocular region template, performing iris matching on the iris template to generate an iris result, performing periocular region matching on the periocular region template to generate a periocular region result, and using one or more of the iris result and the periocular region result to enable the user to access an object.

Abstract: Disclosed herein are methods, apparatus, and systems for seamless biometric self-enrollment. The method including automatically: capturing, by a biometric capture device, biometric modality data for a user in response to a presentation of a user trusted credential for logical access or access to an object during an enrollment process, determining, by an enrollment system, whether biometric modalities for the user are stable, generating a biometric modality template for each unstable biometric modality, replacing a matched stored biometric modality template with the biometric modality template when the biometric modality template is qualitatively better than the matched stored biometric modality template, performing stability accounting when the matched stored biometric modality template is at least qualitatively equal to the biometric modality template, and initiating access processing when at least all biometric modalities are stable and verified.

Abstract: Disclosed herein are methods, apparatus, and systems for iris recognition. A method includes acquiring at least two angularly differentiated iris images from a subject needing access, processing each of the at least two angularly differentiated iris images to generate at least one boundary delineated image from one of the at least two angularly differentiated iris images, applying image comparative analysis to the at least two angularly differentiated iris images to generate a boundary delineated image when the processing fails to produce the at least one boundary delineated image, segmenting and encoding one of the at least one boundary delineated image or the boundary delineated image to generate at least one iris template, matching the at least one iris template against an enrolled iris, and accepting the subject for access processing when the at least one iris template matches the enrolled iris.

Abstract: Disclosed herein are methods, apparatus, and systems for iris recognition. A method for weighted spoof contact lens detection includes requesting a subject to roll or tilt head when needing access via an iris recognition device, acquiring, by the iris recognition device, iris images of a rolled head, establishing, by the iris recognition device, a horizontal axis by connecting pupils in an iris image, matching, by the iris recognition device, at least one iris in the iris image to an enrolled iris, determining, by the iris recognition device, whether the horizontal axis is within a rotational variance of an enrolled horizontal axis associated with the enrolled iris, and rejecting, by the iris recognition device, access for the subject when the horizontal axis is greater than the rotational variance of an enrolled horizontal axis.

Abstract: Disclosed herein are methods, apparatus, and systems for iris and periocular biometric recognition. A method for biometric recognition includes capturing one or more image frames of at least a facial portion of a user, determining an iris image portion and a periocular region image portion from the one or more image frames, performing iris encoding on a live iris image portion to generate an iris template, performing periocular region encoding on a live periocular region image portion to generate a periocular region template, performing iris matching on the iris template to generate an iris result, performing periocular region matching on the periocular region template to generate a periocular region result, and using one or more of the iris result and the periocular region result to enable the user to access an object.

Abstract: Exemplary embodiments are directed to biometric analysis systems generally including one or more illumination sources, a camera, and an analysis module. The illumination sources are configured to illuminate at least a portion of a face of a subject. The camera is configured to capture one or more images of the subject during illumination of the face of the subject. The analysis module is configured to analyze the one or more images captured by the camera to determine an indication of liveliness of the subject and prevent spoofing.

Abstract: Exemplary embodiments are directed to biometric analysis systems generally including one or more illumination sources, a camera, and an analysis module. The illumination sources are configured to illuminate at least a portion of a face of a subject. The camera is configured to capture one or more images of the subject during illumination of the face of the subject. The analysis module is configured to analyze the one or more images captured by the camera to determine an indication of liveliness of the subject and prevent spoofing.