Distortion invariant handwritten digit recognition using adaptive resonance theory (ART) neural net model

Abstract

A distortion- and rotation-invariant handwritten digit recognition scheme using a modified version of the adaptive resonance theory neural network model proposed by S. Grossberg and G. Carpenter (1988) is reported. The scheme is robust. It can be extended to the recognition of other handwritten characters.<>