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In order to effectively solve the problem of source authentication of printed documents, a method of source printer authentication for print documents based on statistical texture feature selection is proposed. Considering the spatial domain and frequency domain properties of character images, the GLCM and DWT statistical texture features are combined, and the combined statistical texture features are selected twice. First ReliefF algorithm is used to select the combined statistical texture features, and the SVM-RFE feature selection algorithm which based on data learning is choose for the second feature selection. The experimental results show that the classification accuracy rate of the English word sets with duplicate sample and the Chinese word sets without duplicate sample are 95.20% and 75.00% respectively, and feature combination and feature selection are helpful to improve the classification and authentication performance of source printer authentication.