Novel Chinese Calligraphy Style Generation Based on Curve Analogy

By learning the various character image samples, the automatic and synchronistic generation of new Chinese calligraphy styles is a key problem in the computer artistic simulating. A curve analogy method based on FSVM is proposed which can generate new calligraphy styles with the user´s constraining styles´parameters. Firstly, the input character image samples are transferred into a hierarchical stroke structural model. Secondly, the matching points in the various skeleton structure are retrieved with FSVM, which provide the control parameter of the curve analogy process. Lastly, the new skeletons are reconstructed into the calligraphy characters. The efficiency of our approach is manifested by the preliminary experiment with generation of quantity of novel calligraphy styles, which can be manipulated by the user´s parameters´ setting and input characters styles.