Hand Written Digits Recognition Using Digital Learning Networks

A pattern recognition system based on the n-tuple technique is developed and evaluated for use in classifying non-deterministic data with particular reference to unconstrained hand-written numerals.The system presented in this research fulfils the requirements of simplicity and efficiency making it attractive to practical use in present day industrial environments. This simplicity of operation is afforded by the self evolving nature of the classifier since it is based or a training phase where the recognition logic is developed.Results are reported on the task of recognizing handwritten digits without any advanced pre-processing. The results are obtained using a RAM-based neural network, making use of small receptive fields. Furthermore, a technique that introduces weights into the RAM net is reported.