METHOD OF MASSIVE PARALLEL PATTERN MATCHING AGAINST A PROGRESSIVELY-EXHAUSTIVE KNOWLEDGE BASE OF PATTERNS

A method of pattern and image recognition and identification includes building a data store of known patterns or images having known attributes and comparing those patterns to unknown patterns. The data store and comparison processing may be distributed across processors. A digital pattern recognition engine on each of the processors has the ability to compare a known pattern from the data store and an unknown pattern and compare the two patterns to determine whether the patterns constitute a match based on match criteria. If the comparison indicates a match, the match may be communicated to the data store and added as a known pattern with detected attributes to the data store. If the comparison does not indicate a match, the pattern may be flagged, transmitted to manual recognition, or further processed using character thresholding or cutting or slicing the pattern.