Handwritten Numeral Recognition by Fuzzy Clustering Based on BP Feature Extraction

The figure specimens were filtered through the process of unconstrained Handwritten Numeral Recognition by BP neural network in the paper.And the result of screening was fit into the clustering source.At last fuzzy clustering was carried out by constituting the fuzzy relation matrix.The result of experiment demonstrates that the method have very high noise immunity capacity and overcame the limitation of traditional algorithm with single factor recognition.The recognition rate and precision ratio were greatly improved at the same time.