Abstract: A biometric processing system. The inventive system implements a novel algorithm for extracting a unique and repeatable code from a biometric image that includes acquiring a biometric image; detecting prominent features in the image; extracting a working area from the image for each detected prominent feature, wherein each working area is a portion of the image around the prominent feature; computing a plurality of parameters for each working area; and encoding the parameters to form an output code. In an illustrative embodiment for fingerprint identification, the prominent features are singularities, and the system defines a local reference system for each working area that is based on the location and orientation of the singularities. Topologically stable points such as minutiae are detected for each working area, and several parameters are then computed for each minutia relative to the local reference system.

Abstract: A system and method for of identifying a semantic meaning of searchable elements are provided. In one implementation, a system includes an adaptive machine-learning module including a pattern recognition processor. The pattern recognition processor is configured to recognize searchable elements in source information and identify a semantic meaning of the searchable elements based on contingency measures of their relationships within the source information without requiring a predefined ontology of terms. In another implementation, a method includes recognizing searchable elements in source information; and identifying a semantic meaning of the searchable elements using a pattern recognition processor based on contingency measures of searchable element relationships within the source information without requiring a predefined ontology of terms.