Abstract: A software tool is described in which a document authentication software engine is tightly integrated with software for creating and managing reference templates for identifying different types of security documents, such as passports and driver's licenses. This integration allows an operator to test each individual change as a document reference template is being created to shorten the creation time and improve the accuracy of the template.

Abstract: Techniques are described for identifying and validating security documents according to a dynamic document identification framework. For example, a security document authentication device includes an image capture interface that receives the captured images of a document and a memory that stores a plurality of document type objects within a data structure according to the dynamic document identification framework. The security document authentication device also includes a document processing engine that traverses the data structure by selectively invoking one or more of the plurality of processes to identify the captured images as one of the plurality of document type objects.

Abstract: Techniques are described for authenticating security documents having security images that incorporate multiple security features. The techniques may produce robust template matching results in situations of lighting unevenness, even with stronger occluding objects. The techniques may be particularly useful in validating a security document having a security image composed of one or more “virtual” retroreflective images formed over a background of a repeating retroreflective image. The virtual retroreflective images within the security image provide strong signals that may dominate analysis and validation of the background retroreflective image, thereby resulting incorrect authentication. The techniques provide a modified normalized cross-correlation analysis that masks out the strong signals contributed by the additional security features, such as the retroreflective virtual images, while still allowing for fast and efficient template matching to be performed with respect to the background image.

Abstract: Techniques are described for identifying and validating security documents according to an Eigen image process method. For example, a security document authentication device selects one or more reference documents of different document types, calculates, from the reference documents, one or more Eigen images and Eigen values for the plurality of different document types, and calculates a reference weight coefficient vector of each of the plurality of document types. Upon receiving at least one captured image of an unknown document, the device calculates a weight coefficient vector of the captured image, compares the weight coefficient vector of the captured image and each of the reference weight coefficient vectors of the document types to calculate a plurality of distances, and, based on the plurality of distances, identifies the unknown document as one of the plurality of document types.

Abstract: Techniques are described for authenticating security documents having security images that incorporate multiple security features. The techniques may produce robust template matching results in situations of lighting unevenness, even with stronger occluding objects. The techniques may be particularly useful in validating a security document having a security image composed of one or more “virtual” retroreflective images formed over a background of a repeating retroreflective image. The virtual retroreflective images within the security image provide strong signals that may dominate analysis and validation of the background retroreflective image, thereby resulting incorrect authentication. The techniques provide a modified normalized cross-correlation analysis that masks out the strong signals contributed by the additional security features, such as the retroreflective virtual images, while still allowing for fast and efficient template matching to be performed with respect to the background image.

Abstract: Techniques are described for authenticating security documents having security images that incorporate multiple security features. The techniques may produce robust template matching results in situations of lighting unevenness, even with stronger occluding objects. The techniques may be particularly useful in validating a security document having a security image composed of one or more “virtual” retroreflective images formed over a background of a repeating retroreflective image. The virtual retroreflective images within the security image provide strong signals that may dominate analysis and validation of the background retroreflective image, thereby resulting incorrect authentication. The techniques provide a modified normalized cross-correlation analysis that masks out the strong signals contributed by the additional security features, such as the retroreflective virtual images, while still allowing for fast and efficient template matching to be performed with respect to the background image.

Abstract: Techniques are described for identifying and validating security documents according to an Eigen image process method. For example, a security document authentication device selects one or more reference documents of different document types, calculates, from the reference documents, one or more Eigen images and Eigen values for the plurality of different document types, and calculates a reference weight coefficient vector of each of the plurality of document types. Upon receiving at least one captured image of an unknown document, the device calculates a weight coefficient vector of the captured image, compares the weight coefficient vector of the captured image and each of the reference weight coefficient vectors of the document types to calculate a plurality of distances, and, based on the plurality of distances, identifies the unknown document as one of the plurality of document types.

Abstract: Techniques are described for identifying and validating security documents according to a dynamic document identification framework. For example, a security document authentication device includes an image capture interface that receives the captured images of a document and a memory that stores a plurality of document type objects within a data structure according to the dynamic document identification framework. The security document authentication device also includes a document processing engine that traverses the data structure by selectively invoking one or more of the plurality of processes to identify the captured images as one of the plurality of document type objects.

Abstract: Techniques are described for authenticating security documents having security images that incorporate multiple security features. The techniques may produce robust template matching results in situations of lighting unevenness, even with stronger occluding objects. The techniques may be particularly useful in validating a security document having a security image composed of one or more “virtual” retroreflective images formed over a background of a repeating retroreflective image. The virtual retroreflective images within the security image provide strong signals that may dominate analysis and validation of the background retroreflective image, thereby resulting incorrect authentication. The techniques provide a modified normalized cross-correlation analysis that masks out the strong signals contributed by the additional security features, such as the retroreflective virtual images, while still allowing for fast and efficient template matching to be performed with respect to the background image.