Method of massive parallel pattern matching against a progressively-exhaustive knowledge base of patterns

Abstract

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.

1 . A nano processor comprising:
 non-volatile memory being the nano processor's own dedicated solid state disk serving as permanent storage for the nano processor, in which the non-volatile memory performs the same functions as a dedicated hard drive performs for a typical stand alone computer;   random access memory functioning as if it were a computer's own dedicated random access memory;   one or more levels of cache memory serving as onboard processor cache memory for very fast data access and data processing, as is customary for processors to have very fast onboard static cache memory.   
     
     
         2 . A multi processor apparatus comprising a plurality of nano processors according to  claim 1 , each of said nano processors arranged such that each of the nano processors are able to operate and do processing independent of one another and communicate with one another in a distributed or non-distributed parallel fashion.