Recognize Unconstrained Handwritten Characters in BP Neural Network

This paper introduces neural network to recognize unconstrained handwritten characters.On the basis of appropriate feature extraction, handwritten image segmentations are made.Every part corresponds to a neural cell of input layer.Experimental results show that this method has the ability of rotational variance-resistance.