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Issue No.02 - March/April (2009 vol.24)
pp: 44-53
Songhua Xu , University of Hong Kong
Hao Jiang , University of Hong Kong
Tao Jin , University of Hong Kong
Francis C.M. Lau , University of Waterloo
Yunhe Pan , Zhejiang University
ABSTRACT
An automatic algorithm can generate Chinese calligraphy by quantitatively representing the characteristics of personal handwriting acquired from learning examples.
INDEX TERMS
intelligent systems for art, Chinese calligraphy, spatial reasoning, aesthetic computing
CITATION
Songhua Xu, Hao Jiang, Tao Jin, Francis C.M. Lau, Yunhe Pan, "Automatic Generation of Chinese Calligraphic Writings with Style Imitation", IEEE Intelligent Systems, vol.24, no. 2, pp. 44-53, March/April 2009, doi:10.1109/MIS.2009.23
REFERENCES
1. C.V. Jawahar and A. Balasubramanian, "Synthesis of Online Handwriting in Indian Languages," Proc. 10th Int'l Workshop Frontiers in Handwriting Recognition (IWFHR 06), Universite de Rennes 1, 2006, pp. 108–113.
2. S. Xu et al., "Automatic Generation of Artistic Chinese Calligraphy," IEEE Intelligent Systems, vol. 20, no. 3, 2005, pp. 32–39.
3. J.-Y. Chang and M.-H. Wan, "Fuzzy Stroke Type Identification for Online Chinese Character Recognition," Proc. IEEE Int'l Conf. Systems, Man, and Cybernetics, vol. 4, IEEE CS Press, 1998, pp. 3289–3294.
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