Abstract
A novel approach to synthesize calligraphy characters is presented in this paper. Only a small set of calligraphy characters written by the specific calligrapher is needed. A robust polygon based radical and stroke extraction method is introduced, which can generate strokes and radicals preciselywith a few manually marked pixels. A new radical and stroke selection method called component selection algorithm is described, which can decide whether to use radicals or strokes and can find out the most suitable ones from the candidate radicals and strokes.After putting the radicals and strokes together and form the calligraphy character, the style difference among them must be minimized. In order to do this better, a new way to adjust the stroke widths is presented. A sample set containing only 30 selected calligraphy characters are used to synthesize new calligraphy characters. The results show that our approach works effectively.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lu, W., Wu, J., Wei, B., Zhuang, Y.: Efficient Shape Matching for Chinese Calligraphic Character Retrieval. Journal of Zhejiang University - Science C 12(11), 873–884 (2011)
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)
Xu, S., Lau, F.C., Cheung, W.K., Pan, Y.: Automatic Generation of Artistic Chinese Calligraphy. IEEE Intelligent Systems 20(3), 32–39 (2005)
Yu, K., Wu, J., Zhuang, Y.: Style-Consistency Calligraphy Synthesis Systemin Digital Library. In: 9th ACM/IEEE-CS Joint Conference on Digital Libraries, pp. 145–152. ACM Press, New York (2009)
Xia, Y., Wu, J., Gao, P., et al.: Ontology-based model for Chinese Calligraphy Synthesis. Computer Graphics Forum 32(7), 11–20 (2013)
Xu, S., Jiang, H., Lau, F.C., Pan, Y.: An Intelligent system for Chinese Calligraphy. In: The 22nd Conference on Association for the Advancement of Artificial Intelligence, pp. 1578–1583. AAAI, New York (2007)
Lu, W., Zhuang, Y., Wu, J.: Discovering Calligraphy Style Relationships by Supervised Learning Weighted Random Walk Model. Multimedia Syst. 15(4), 221–242 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Yu, K., Yuan, Z. (2014). Calligraphy Character Synthesis from Small Sample Set. In: Tuamsuk, K., Jatowt, A., Rasmussen, E. (eds) The Emergence of Digital Libraries – Research and Practices. ICADL 2014. Lecture Notes in Computer Science, vol 8839. Springer, Cham. https://doi.org/10.1007/978-3-319-12823-8_40
Download citation
DOI: https://doi.org/10.1007/978-3-319-12823-8_40
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12822-1
Online ISBN: 978-3-319-12823-8
eBook Packages: Computer ScienceComputer Science (R0)