Abstract: Embodiments of an automated method of processing fingerprint images, identity information is extracted from prints typically classified as having “no identification value” because of sparse or missing minutiae by capturing ridge contour information. Bezier approximations of ridge curvature are used as Ridge Specific Markers. Control points arising from Bezier curves generate unique polygons that represent the actual curve in the fingerprint. The Bezier-based descriptors are then grouped together and compared to corresponding reference print Ridge Specific Marker data. The method makes it possible to fuse a plurality of individual latent print portions into a single descriptor of identity and use the resulting data for comparison and identification. Processing of poor quality reference prints according to the methods disclosed renders these prints useable for reference purposes.

Abstract: In an automated method of processing fingerprint images, identity information is extracted from prints typically classified as having “no identification value” because of sparse or missing minutiae by capturing ridge information. Bezier approximations of ridge curvature are used as Ridge Specific Markers. Control points arising from Bezier curves generate unique polygons that represent the actual curve in the fingerprint. These polygons are generated for latent prints and reference prints and compared to determine whether a match exists.

Abstract: A mobile device comprising memory configured to store instructions; and a processor, the instructions configured to cause the processor to: capture small specimens of livescan fingerprint ridges using a scaled down fingerprint sensor, use RSM matching to find the ridge structure in a matching reference, use Level 3 Features to confirm the livescan-to-reference match, and use Level 3 features selectively based on “guidance” provided using Level 2 features.

Abstract: A system for transforming an image of a fingerprint, comprises a mobile device, comprising: a first communication interface, a camera configured to capture at least one image of at least one fingerprint, and a mobile device processor configured to execute instructions, the instructions configured to cause the mobile device processor to receive the image from the camera and transmit them to an image processing system via the first communication interface; and an image processing system, comprising: a second communication interface configured to receive the image, and an image processor configured to execute instructions, the instructions configured to cause the image processor receive the image form the second communication interface, and: render the image into a high contrast image, establish focus and image resolution for the image, perform noise reduction on the image, and perform distortion elimination on the image.