¹Department of Computer Science and Technology, Xiamen University of Technology, Xiamen 361024, China
²Cognitive Science Department, Xiamen University, Xiamen 361005, China
³Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen University, Xiamen 361005, China

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Abstract—We present an approach to creating Chinese calligraphy with particular style from learning author’s written works automatically. Our first contribution is a method to represent Chinese character topology via fuzzy relative position. Our second contribution is an algorithm to take topological features as features fed into the evaluation model, which is a decision tree algorithm. Our third contribution is an algorithm of heuristic search in the optimization glyph phase. To improve the converge speed, we introduce hypothesis testing and the decay function of transformation amplitude. The experiments demonstrate our algorithm can obtain the similar style Chinese calligraphy with training samples.

Index Terms—Calligraphy, Creation, Evaluation artistic style.

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Cite: Wei Li, Changle Zhou, "Automatic Creation of Artistic Chinese Calligraphy," Journal of Software vol. 8, no. 12, pp. 3048-3054, 2013.