Pattern recognition with fuzzy neural network

Abstract

This paper explains the character code recognition with the Boolean classifier. The binary values are used both for inputs and outputs, while the learning of the circuit with a set of patterns is done by modified algorithms used in some Boolean neural networks. The use of the fuzzy logic approach offers the possibility of creating a character recognition theory which is fault-tolerant and applicable to all sorts of typefaces and fonts. It provides several examples of patterns scanned with different resolutions and learned with a part of the same set of samples which demonstrates the quality of the fuzzy Boolea classifier.