The Recognition and Implementation of Handwritten Character based on Deep Learning

Abstract

This paper mainly focuses on the recognition of Chinese handwritten characters. By using the deep learning technology, a deep convolution neural network (CNN) is constructed to identify the handwritten character set, and finally gets the network structure that can be used for recognition. By comparing with other handwritten characters, the engineering application value of the network structure used in this paper is proved, and finally the handwritten character recognition system based on this model also embodies the feasibility of the network structure.