1. A pattern recognition system, comprising: first means for receiving a plurality of images and corresponding image identification information; second means for processing said plurality of images into image information; third means for determining the most distinctive aspects of said image information, said third means including means for performing an In-Class to Out-of-Class study including: means for generating an In-Class Variation Matrix; means for generating an Out-Class Variation Matrix; means for normalizing said In-Class Variation Matrix; means for normalizing said Out-Class Variation Matrix; means for generating a feature Matrix; means for normalizing said feature Matrix into a normalized feature Matrix; means for partitioninq said normalized feature Matrix into bricks; means for prioritizing said bricks, and means for creating a feature template vector whose elements correspond to a subset of said bricks; fourth means for forming feature vectors of the magnitudes of said most distinctive aspects of said image information; fifth means for storing said feature vectors, said fifth means including neural network processor means adapted to store said feature vectors; sixth means for receiving a query image; seventh means for generating a query feature vector from said query image; eighth means for querying said fifth means to determine the most similar previously stored feature vectors to said query feature vector; ninth means for outputting image identification information corresponding to the previously stored feature vector most similar to said query feature vector.