Abstract: Methods and systems for identifying an individual are provided. The systems and methods make use of principal component analysis and account for intra-individual variation by utilizing a plurality of images obtained from a stream of data representing a plurality of images of the individual. To identify the individual the system and method account for the intra-individual variation in the stream of data to produce a compensated representation of the individual. The system and method and to match the compensated representation a representation from a reference database to identify the individual.

Abstract: A method and system are disclosed for producing a reduced-glare image. The method and system use at least two light sources located a selected distance apart from each other. An image acquisition device acquires a first image of an object using illumination from the first light source, but not the second. Then the image acquisition device acquires a second image of the object using illumination from the second light source, but not the first. The two images, having glare at different pixel locations, are then used to form a reduced-glare image.

Abstract: A system and method for acquiring, processing, and comparing an image with a stored image to determine if a match exists. In particular, the system refines the image data associated with an object based on pre-stored color values, such as flesh tone color. The system includes a storage element for storing flesh tone colors of a plurality of people, and a defining stage for localizing a region of interest in the image. A combination stage combines the unrefined region of interest with one or more pre-stored flesh tone colors to refine the region of interest based on color. This flesh tone color matching ensures that at least a portion of the image corresponding to the unrefined-region of interest having flesh tone color is incorporated into the refined region of interest. Hence, the system can localize the head, based on the flesh tone color of the skin of the face in a rapid manner. According to one practice, the refined region of interest is smaller than or about equal to the unrefined region of interest.

Abstract: The system and methods disclosed herein validate the authenticity of a document and an individual's claimed identity. The system and method use a validation facility that is configurable to compare and match characteristics of biometric and non-biometric data presented by an individual with biometric and non-biometric data received from a request to a database or file system holding such information. The determination on the matching characteristics of the data can occur in completely automated fashion without intervention from the user, but user intervention is also possible allowing the user to review and override certain data discrepancies. The validation facility provides a user interface for use by a user to review a determination on the data analysis and instruct the validation facility to override that determination if the user determines the cause of the identity verification failure is within an acceptable criterion.

Abstract: A system and method for acquiring, processing, and comparing an image with a stored image to determine if a match exists. In particular, the system refines the image data associated with an object based on pre-stored color values, such as flesh tone color. The system includes a storage element for storing flesh tone colors of a plurality of people, and a defining stage for localizing a region of interest in the image. A combination stage combines the unrefined region of interest with one or more pre-stored flesh tone colors to refine the region of interest based on color. This flesh tone color matching ensures that at least a portion of the image corresponding to the unrefined region of interest having flesh tone color is incorporated into the refined region of interest. Hence, the system can localize the head, based on the flesh tone color of the skin of the face in a rapid manner. According to one practice, the refined region of interest is smaller than or about equal to the unrefined region of interest.

Abstract: A system for providing a printed output image including information from a data collection system onto a single print medium is disclosed. Data collection systems and methods are disclosed for collecting data from a plurality of spatially separated sources and for providing that data as a sequence of output signals. The data collection system includes a housing a selection element, one or more image paths and an image plane. The selection element selectively and alternatively couples visual images from separate object sources along the image paths and onto the image plane. The selection element may include optical shutters for selectively occluding or transmitting the visual images and may include illumination elements for providing a controlled sequence of illumination at selected ones of the object sources. The system can assemble the printed data in a format suitable for printing as an identification card.

Abstract: A system and method for acquiring, processing, and comparing an image with a stored image to determine if a match exists. The system employs a transformation into the frequency domain to more efficiently correlate the acquired image with the set of stored images. The image and stored image pair with the highest correlation value is considered to be the best matched pair. The facial recognition system determines the match in substantially real time. In particular, the present invention employs a motion detection stage, blob stage and a color matching stage at the input to localize a region of interest (ROI) in the image. The ROI is then processed by the system to locate the head, and then the eyes, in the image by employing a series of templates, such as eigen templates. The system then thresholds the resultant eigenimage to determine if the acquired image matches a pre-stored image.