Abstract: Image processing based feature extraction is widely studied in pixel domain．In order to find a better method of image feature representation in the new signal domain,a number of new artistic features were proposed to exploit the advantage of decomposition from the input art works and characterize the artistic styles across different sub-bands in wavelet domain．In order to achieve automatic categorization,3-layer wavelet transform was employed for the extraction of images’ texture features.Moreover,three different classifiers were compared and used to learn different artistic style．Experimental results show that the algorithm can effectively extract image texture features and achieve high accuracy of classification．

Key words: Wavelet transform,Traditional Chinese paintings,Support vector machine (SVM)