Feature Extraction in an Optical Character Recognition Machine

A feature extraction technique for the next generation of optical character readers must be able to rapidly generate a quantity of discriminant functions using a minimum of equipment. The procedure described in this note generates a series of reference patterns for two-class discrimination and a feature ordering tree which may also be used to decode the sample class. Special hardware is used to provide practical learning times for handprinted characters.