Authors

Abstract

Fuzzy c-mean is one of the efficient tools used in character recognition. Back propagation neural network is another powerful that may be used in such field. A comparison between fuzzy c-mean and BP neural network classifiers are presented in this research. The comparison was based on recognition efficiency; this efficiency was evaluated as the ratio of the number of assigned characters with unknown one to the number of character set related to that character. The fuzzy Cmean and BP neural network algorithms were tested on a set of hand written and machine printed dataset named The Chars74K dataset.

Keywords

Fuzzy c-mean, character recognition, Back propagation neural network, recognition efficiency & Chars74K dataset