Abstract: A biometric access control system for controlling access to an environment based on an authorization status of a living subject is disclosed. In one example, a data source generates image data of a tissue region of the subject. A liveness measurement unit processes the image data to detect changes over at least one of time or spatial volume in one or more structural features of the tissue region and generates, based on the detected changes, a spoofing attack detection status indicating that the image data is from living biological tissue or that a spoofing attack is detected. A biometric identification unit processes at least a portion of the same image data generated by the data source to generate biometric information indicative of an identity of the subject. Responsive to the spoofing attack detection status and the biometric information, an authorization unit outputs an authorization status for the subject.

Abstract: Techniques for verifying identity of a human subject to an identification document are described. In some examples, a computing device may be connected to least two cameras oriented such that a first field of view is a substantially opposite direction from a second field of view. The device may receive images from the first camera that include a human subject. Second images from the second camera may include images of an ID document with a photograph of the human subject. The device may process the first images along with the respective, corresponding second images to determine respective 3D locations for at least one of cameras at the respective times the images were captured. Based on the sequence of 3D locations, along with the first images and the second images, the device may determine whether the human subject is a valid human subject.

Abstract: A biometric access control system for controlling access to an environment based on an authorization status of a living subject is disclosed. In one example, a data source generates image data of a tissue region of the subject. A liveness measurement unit processes the image data to detect changes over at least one of time or spatial volume in one or more structural features of the tissue region and generates, based on the detected changes, a spoofing attack detection status indicating that the image data is from living biological tissue or that a spoofing attack is detected. A biometric identification unit processes at least a portion of the same image data generated by the data source to generate biometric information indicative of an identity of the subject. Responsive to the spoofing attack detection status and the biometric information, an authorization unit outputs an authorization status for the subject.

Abstract: Exemplary embodiments are directed to biometric analysis systems including one or more illumination sources configured to provide dim illumination to a scene including an object and configured to provide flash illumination to the object in the scene. The biometric analysis systems include a rolling shutter camera configured to capture one or more images. The biometric analysis systems include an adaptive trigger module configured to analyze the scene to detect the object in the scene during dim illumination of the scene, determine a position in a frame of the rolling shutter camera that coincides with the detected object in the scene, and arrange a delay between a start of image writing by the rolling shutter camera and a trigger of the one or more illumination sources such that a stripe of the flash illumination coincides with the detected object in the scene.

Abstract: Techniques for verifying identity of a human subject to an identification document are described. In some examples, a computing device may be connected to least two cameras oriented such that a first field of view is a substantially opposite direction from a second field of view. The device may receive images from the first camera that include a human subject. Second images from the second camera may include images of an ID document with a photograph of the human subject. The device may process the first images along with the respective, corresponding second images to determine respective 3D locations for at least one of cameras at the respective times the images were captured. Based on the sequence of 3D locations, along with the first images and the second images, the device may determine whether the human subject is a valid human subject.

Abstract: Exemplary embodiments are directed to biometric analysis systems including one or more illumination sources configured to provide dim illumination to a scene including an object and configured to provide flash illumination to the object in the scene. The biometric analysis systems include a rolling shutter camera configured to capture one or more images. The biometric analysis systems include an adaptive trigger module configured to analyze the scene to detect the object in the scene during dim illumination of the scene, determine a position in a frame of the rolling shutter camera that coincides with the detected object in the scene, and arrange a delay between a start of image writing by the rolling shutter camera and a trigger of the one or more illumination sources such that a stripe of the flash illumination coincides with the detected object in the scene.

Abstract: An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary, and whether the person is located near the iris image capture device or at a distance from the iris image capture device. The iris biometric recognition technology can perform an iris matching procedure for, e.g., authentication or identity verification purposes. The iris biometric recognition module can be incorporated into, for example, a door lock assembly and other access controlled devices, mechanisms, and systems.

Abstract: An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary, and whether the person is located near the iris image capture device or at a distance from the iris image capture device. The iris biometric recognition technology can perform an iris matching procedure for, e.g., authentication or identity verification purposes. The iris biometric recognition module can be incorporated into, for example, a door lock assembly and other access controlled devices, mechanisms, and systems.

Abstract: Exemplary embodiments are directed to biometric analysis systems including one or more illumination sources configured to provide dim illumination to a scene including an object and configured to provide flash illumination to the object in the scene. The biometric analysis systems include a rolling shutter camera configured to capture one or more images. The biometric analysis systems include an adaptive trigger module configured to analyze the scene to detect the object in the scene during dim illumination of the scene, determine a position in a frame of the rolling shutter camera that coincides with the detected object in the scene, and arrange a delay between a start of image writing by the rolling shutter camera and a trigger of the one or more illumination sources such that a stripe of the flash illumination coincides with the detected object in the scene.

Abstract: A method and apparatus for biometric iris matching comprising pre-processing an input image capturing one or more eyes to produce one or more rectified iris images, coding the one or more rectified iris images into one or more multiresolution iris codes and matching the one or more multiresolution iris code with a set of stored multiresolution iris codes to determine whether a match exists.

Abstract: A method and apparatus for biometric iris matching comprising pre-processing an input image capturing one or more eyes to produce one or more rectified iris images, coding the one or more rectified iris images into one or more multiresolution iris codes and matching the one or more multiresolution iris code with a set of stored multiresolution iris codes to determine whether a match exists.

Abstract: A method and apparatus for biometric iris matching comprising pre-processing an input image capturing one or more eyes to produce one or more rectified iris images, coding the one or more rectified iris images into one or more multiresolution iris codes and matching the one or more multiresolution iris code with a set of stored multiresolution iris codes to determine whether a match exists.

Abstract: An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary, and whether the person is located near the iris image capture device or at a distance from the iris image capture device. The iris biometric recognition technology can perform an iris matching procedure for, e.g., authentication or identity verification purposes. The iris biometric recognition module can be incorporated into, for example, a door lock assembly and other access controlled devices, mechanisms, and systems.

Abstract: An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary, and whether the person is located near the iris image capture device or at a distance from the iris image capture device. The iris biometric recognition technology can perform an iris matching procedure for, e.g., authentication or identity verification purposes. The iris biometric recognition module can be incorporated into, for example, a door lock assembly and other access controlled devices, mechanisms, and systems.

Abstract: A method and apparatus for biometric iris matching comprising pre-processing an input image capturing one or more eyes to produce one or more rectified iris images, coding the one or more rectified iris images into one or more multiresolution iris codes and matching the one or more multiresolution iris code with a set of stored multiresolution iris codes to determine whether a match exists.

Abstract: A method for identifying an iris image can include obtaining an iris image of an eye, segmenting the iris image, generating, from the segmented iris image, a normalized iris image, and generating, from the normalized iris image, an iris template. The method can also include generating a modified iris template by extracting a portion of the iris template, comparing the modified iris template with a plurality of previously stored other modified iris templates and matching the modified iris template with one of the plurality of previously stored other modified iris templates. The method can also include generating a modified iris template by extracting a portion of the iris template, comparing the modified iris template with a plurality of previously stored other modified iris templates, and matching the modified iris template with one of the plurality of previously stored other modified iris templates.

Abstract: A method for identifying an iris image can include obtaining an iris image of an eye, segmenting the iris image, generating, from the segmented iris image, a normalized iris image, and generating, from the normalized iris image, an iris template. The method can also include generating a modified iris template by extracting a portion of the iris template, comparing the modified iris template with a plurality of previously stored other modified iris templates and matching the modified iris template with one of the plurality of previously stored other modified iris templates. The method can also include generating a modified iris template by extracting a portion of the iris template, comparing the modified iris template with a plurality of previously stored other modified iris templates, and matching the modified iris template with one of the plurality of previously stored other modified iris templates.

Abstract: Systems and techniques for synthesizing high-resolution images are described. Using as input hybrid high- and low-resolution images (110, 120), processing techniques including three-dimensional image warp-based (160) rendering may assist in developing the high-resolution output images. Enhanced results may in some instances be obtained by creating a high-resolution images of one member of a pair of stereo images by utilizing multiple frames of the other member of the pair.

Abstract: Systems and techniques for synthesizing high-resolution images are described. Using as input hybrid high- and low-resolution images (110, 120), processing techniques including three-dimensional image warp-based (160) rendering may assist in developing the high-resolution output images. Enhanced results may in some instances be obtained by creating a high-resolution images of one member of a pair of stereo images by utilizing multiple frames of the other member of the pair.

Abstract: A method and apparatus for accurately computing parallax information as captured by imagery of a scene. The method computes the parallax information of each point in an image by computing the parallax within windows that are offset with respect to the point for which the parallax is being computed. Additionally, parallax computations are performed over multiple frames of imagery to ensure accuracy of the parallax computation and to facilitate correction of occluded imagery.