Abstract :
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.
Keywords :
Correlation, feature extraction, handprinted character recognition, large-scale integration, sequential recognition.; Character generation; Character recognition; Correlators; Decoding; Error analysis; Feature extraction; Hardware; Large scale integration; Optical character recognition software; Testing; Correlation, feature extraction, handprinted character recognition, large-scale integration, sequential recognition.;
