Abstract: System and techniques for spoofing detection in image biometrics are described herein. A sequence of images may be obtained from a camera; a first plurality of images in the sequence of images including a representation of a user body part, and a second plurality of images in the sequence of images including a representation of an environment of the user. A marker may be created for the representation of the body part. A feature of the environment of the user present during the second plurality of images may be identified in the sequence of images using a third group of circuits. A correlation between the marker and the feature of the environment in the sequence of images may be quantified to produce a synchronicity metric of the degree to which the marker and the feature of the environment correlate.

Abstract: The present disclosure relates to a system and method for providing conditional login promotion. An example system includes at least one processor and at least one memory element, wherein the system is configured for receiving an indication of a local operating system login by a user from a client device associated with the user; receiving one or more authentication factors associated with the user from the client device; and determining whether the local operating system login is to be promoted to a relying party entity based upon the one or more authentication factors associated with the user.

Abstract: System and techniques for preventing face-based authentication spoofing are described herein. A visible light emitter may be controlled to project a pattern into a camera's field of view during an authentication attempt. An image may be obtained from the camera for the authentication attempt. A potential spoofing region on image may be identified by finding the pattern. An authentication attempt based on a face found in the potential spoofing region may be prevented.

Abstract: System and techniques for spoofing detection in image biometrics are described herein. A sequence of images may be obtained from a camera; a first plurality of images in the sequence of images including a representation of a user body part, and a second plurality of images in the sequence of images including a representation of an environment of the user. A marker may be created for the representation of the body part. A feature of the environment of the user present during the second plurality of images may be identified in the sequence of images using a third group of circuits. A correlation between the marker and the feature of the environment in the sequence of images may be quantified to produce a synchronicity metric of the degree to which the marker and the feature of the environment correlate.

Abstract: System and techniques for spoofing detection in image biometrics are described herein. A sequence of images may be obtained from a camera; a first plurality of images in the sequence of images including a representation of a user body part, and a second plurality of images in the sequence of images including a representation of an environment of the user. A marker may be created for the representation of the body part. A feature of the environment of the user present during the second plurality of images may be identified in the sequence of images using a third group of circuits. A correlation between the marker and the feature of the environment in the sequence of images may be quantified to produce a synchronicity metric of the degree to which the marker and the feature of the environment correlate.

Abstract: A system and method for capturing an image of a user. An image is captured with a camera, wherein the image includes a user's image. A first avatar is displayed in a display, wherein displaying includes positioning an avatar in at least some of the user's image. The user is then encouraged to move so the first avatar moves to a second position in the display.

Abstract: A user authentication system and method. The user authentication system includes a camera and a processor connected to the camera. The processor receives images from the camera, searches for a user feature in the images, determines if the images require correction, adjusts camera controls in a pre-defined order to provide desired corrections, applies the desired corrections to subsequent images and authenticates the user based on the user feature in the corrected images.

Abstract: System and techniques for spoofing detection in image biometrics are described herein. A sequence of images may be obtained from a camera; a first plurality of images in the sequence of images including a representation of a user body part, and a second plurality of images in the sequence of images including a representation of an environment of the user. A marker may be created for the representation of the body part. A feature of the environment of the user present during the second plurality of images may be identified in the sequence of images using a third group of circuits. A correlation between the marker and the feature of the environment in the sequence of images may be quantified to produce a synchronicity metric of the degree to which the marker and the feature of the environment correlate.

Abstract: Systems and techniques for facial spoofing detection in image based biometrics are described herein. A marker may be created for a representation of a face in a first plurality of images of a sequence of images. The marker corresponds to a facial feature of the face. An environmental feature of an environment of the face may be identified across a second plurality of images of the sequence of images. A correlation between the marker and the environmental feature in the sequence of images may be quantified to produce a synchronicity metric. A spoofing attempt may be indicated in response to the synchronicity metric meeting a threshold.

Abstract: System and techniques for spoofing detection in image biometrics are described herein. A sequence of images may be obtained from a camera; a first plurality of images in the sequence of images including a representation of a user body part, and a second plurality of images in the sequence of images including a representation of an environment of the user. A marker may be created for the representation of the body part. A feature of the environment of the user present during the second plurality of images may be identified in the sequence of images using a third group of circuits. A correlation between the marker and the feature of the environment in the sequence of images may be quantified to produce a synchronicity metric of the degree to which the marker and the feature of the environment correlate.

Abstract: System and techniques for spoofing detection in image biometrics are described herein. A sequence of images may be obtained from a camera; a first plurality of images in the sequence of images including a representation of a user body part, and a second plurality of images in the sequence of images including a representation of an environment of the user. A marker may be created for the representation of the body part. A feature of the environment of the user present during the second plurality of images may be identified in the sequence of images using a third group of circuits. A correlation between the marker and the feature of the environment in the sequence of images may be quantified to produce a synchronicity metric of the degree to which the marker and the feature of the environment correlate.

Abstract: Systems and techniques for facial spoofing detection in image based biometrics are described herein. A marker may be created for a representation of a face in a first plurality of images of a sequence of images. The marker corresponds to a facial feature of the face. An environmental feature of an environment of the face may be identified across a second plurality of images of the sequence of images. A correlation between the marker and the environmental feature in the sequence of images may be quantified to produce a synchronicity metric. A spoofing attempt may be indicated in response to the synchronicity metric meeting a threshold.

Abstract: The present disclosure relates to a system and method for providing conditional login promotion. An example system includes at least one processor and at least one memory element, wherein the system is configured for receiving an indication of a local operating system login by a user from a client device associated with the user; receiving one or more authentication factors associated with the user from the client device; and determining whether the local operating system login is to be promoted to a relying party entity based upon the one or more authentication factors associated with the user.

Abstract: A user authentication system and method. The user authentication system includes a camera and a processor connected to the camera. The processor receives images from the camera, searches for a user feature in the images, determines if the images require correction, adjusts camera controls in a pre-defined order to provide desired corrections, applies the desired corrections to subsequent images and authenticates the user based on the user feature in the corrected images.

Abstract: System and techniques for preventing face-based authentication spoofing are described herein. A visible light emitter may be controlled to project a pattern into a camera's field of view during an authentication attempt. An image may be obtained from the camera for the authentication attempt. A potential spoofing region on image may be identified by finding the pattern. An authentication attempt based on a face found in the potential spoofing region may be prevented.

Abstract: A system and method for capturing an image of a user. An image is captured with a camera, wherein the image includes a user's image. A first avatar is displayed in a display, wherein displaying includes positioning an avatar in at least some of the user's image. The user is then encouraged to move so the first avatar moves to a second position in the display.

Abstract: In accordance with some embodiments, in response to the detection of a particular event, an event data recorder may enter a secure mode. In the secure mode, data from various peripherals is collected over a secure channel and stored in a secure memory within the event data recorder. That data may subsequently be read out under secure conditions with an assurance of reliability while the system is in a secure mode, it may continue to collect data in a non-secure mode in parallel.