Handwritten Chinese characters recognition based on neural network is to convert Chinese characters dot matrix graphic to electrical signals, then input to the digital signal processor or computer for processing. On the basis of classification algorithm, it is recognized by matching with the Chinese characters. This paper expounds the design target of handwritten Chinese characters recognition experiment system, analyzes the pretreatment and the principle of handwritten Chinese characters, introduces the feature extraction of handwritten Chinese characters in detail