With the fast development of computer technology, Chinese minority information processing has become mature gradually, and the research on Chinese minority information processing focuses on the Chinese minority optical character recognition. The method of identification of the kinds of Chinese minority scripts based on wavelet packet analysis and Radial Basis Function Network (RBFN) is presented which adopts the feature of wavelet packet energy and wavelet packet energy distribution proportion, and constructs multivariate classification in the radial basis function Network. By building a data set which contains 6 kinds of common Chinese minority scripts, 8 kinds of Chinese and English in total, we train and test the dataset by means of the method in this paper. Obviously, the result shows that the method outperforms the traditional classification and wavelet feature.