Abstract
Chinese calligraphy works is a valuable culture heritage written by soft brush. They were scanned into image format, stored in computer in order to enable universal and convenient access. However, the retrieved calligraphy candidates may not satisfy user’s expectation due to the size limitation of calligraphy database. This paper propose a way to offer new calligraphy candidates by synthesizing based on the retrieved calligraphy: First, characters contours are extracted to represent calligraphy style. Second, shape matrixes are constructed and peer-to-peer contour points are figured out. Then new calligraphy character candidates that in some degree looks like the retrieved calligraphy characters are generated by employing g-snake algorithm. Finally, the effect of the approach is demonstrated by the implementation.
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References
Zhuang, Y., Zhang, X., Wu, J., Lu, X.: Retrieval of Chinese Calligraphic Character Image. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds.) PCM 2004. LNCS, vol. 3331, pp. 17–24. Springer, Heidelberg (2004)
Zhuang, Y., Zhang, X., Lu, W., Wu, F.: Chinese Brush Calligraphy Character Retrieval and Learning. International Journal of Distance Education Technologies 5(2), 29–39 (2007)
Zheng, Y., Doermann, D.: Handwriting matching and its application to handwriting synthesis. In: Int’l Conf. On Document Analysis and Recognition, vol. 2, pp. 861–865 (2005)
Xu, S., Lau, F.C., Cheung, W.K., Pan, Y.: Automatic geneartion of artistic Chinese calligraphy. IEEE Intell. Systems 20(3), 32–39 (2005)
Xu, S., Pan, Y., Zhuang, Y., Liu, Z.: Synthesis Reasoning and Its Application in Chinese Calligraphy Generation. Acta Automatica Sinica (in Chinese) 31(4), 495–509 (2005)
Yu, K., Wu, J., Zhuang, Y.: Skeleton-Based Recognition of Chinese Calligraphic Character Image. In: Huang, Y.-M.R., Xu, C., Cheng, K.-S., Yang, J.-F.K., Swamy, M.N.S., Li, S., Ding, J.-W. (eds.) PCM 2008. LNCS, vol. 5353, pp. 228–237. Springer, Heidelberg (2008)
Zhang, J., Yu, J., Lin, H.: Capturing Character Contours from Images of Ancient Chinese Calligraphy. In: 2nd Int’l Conf. On Digital Media and its Application in Museum & Heritages, December 2007, pp. 36–41 (2007)
Lee, A., Dobkin, D., Sweldens, W., Schröder, P.: Multiresolution Mesh Morphing. In: Proceedings of SIGGRAPH 1999, pp. 343–350 (August 1999)
Zheng, Y., Doermann, D.: Robust Point Matching for Nonrigid Shapes by Preserving Local Neighborhood Structures. IEEE Transaction on Pattern Analysis and Machine Intelligence 28(4), 643–649 (2006)
Lai, K.F., Chin, R.T.: Deformable contours: Modeling and extraction. IEEE Transaction on Patter Analysis and Machine Intelligence 17(11), 1084–1090 (1995)
Zhang, X., Liu, G., Wu, J., Luan, C.: A Quick Search Algorithm for Historical Chinese Calligraphy Character Image, Image and Signal Processing, pp. 355–359 (2008)
Rosenfeld, R.A.H., Zucker, S.W.: Scene labeling by relaxation operations. IEEE Transaction on System, Man and Sybernetics 6, 420–433 (1976)
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Zhang, X., Liu, G. (2009). Chinese Calligraphy Character Image Synthesis Based on Retrieval. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_14
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DOI: https://doi.org/10.1007/978-3-642-10467-1_14
Publisher Name: Springer, Berlin, Heidelberg
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