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Character recognition using a trinary associative memory

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Abstract

A trinary (or ternary) neuron representation for Hopfield's associative memory1 has been recently found to be more effective in associative recall. The trinary associative memory overcomes the discrepancies associated with the unipolar binary and bipolar binary representations of neurons.2 In the trinary neuron representation, the known portion of the partial input is represented in bipolar binary and the unknown portion is represented by a string of 0s. In this work, the trinary associative memory is used to process 1-D as well as 2-D stored images such as those encountered in character recognition applications.

© 1989 Optical Society of America

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