Quantile-based method for the recognition of handwritten Chinese characters

In course of generating templates of handwritten Chinese characters, the method based on average of the samples features is popular. In this paper, an approach based on quantile is put forward to generate templates. According to our experiments, this method of template generating is robust than that one based on average and it improves the performance of recognition system in the case of not increasing any complexity of the algorithm. At the same time, the method is universal and can be in combination with diversified feature extraction methods.