关键词: 手写汉字, 自动学习, 卷积神经网, 云平台, 识别率

Abstract: For the feature extraction methods’restrictions problem of handwritten Chinese character recognition in traditional two hand written Chinese character recognition system, the paper proposes an identification system method which uses convolution neural network to automatically learn Chinese characters similar characteristics. The method uses data from large handwritten cloud platform to train the model, generating similar frequency statistics based on a subset of, and further improve the recognition rate. Experimental results show that the recognition rate with respect to the traditional gradient-based feature support vector machine and nearest neighbor classifier method, this method has improved to some extent.

Key words: handwritten Chinese character, automatic learning, convolution neural network, cloud platform, recognition rate