Abstract
In this paper, we propose a novel data-driven digital ink generating method for Chinese characters. When users write on tablets, they can select a specific rendering style from the predefined style database to generate character images in the selected style. Our method is able to learn personalized style information from a small set of Chinese characters in a given style and then generate the stroke style database using a specially-designed stroke segmentation model. The model divides a stroke into three kinds of segments: head, corner and middle segments. For each type of stroke segments, we employ the corresponding method to process the style information they contain. Experimental results demonstrate that our method not only works well for Chinese characters but is also effective for other kinds of shapes.
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
Hse, H.H., Newton, R.A.: Recognition and beautification of multi-stroke symbols in digital ink. Computers & Graphics 29(4), 533–546 (2005)
Xia, W., Jin, L.: A Kai style calligraphic beautification method for handwriting Chinese character. In: ICDAR 2009, pp. 798–802. IEEE (2009)
Li, H., Liu, P., Xu, S., Lin, S.: Calligraphy beautification method for chinese handwritings. In: ICDH 2012, pp. 122–127. IEEE (2012)
Xu, S., Jin, T., Jiang, H., Lau, F.C.: Automatic generation of personal chinese handwriting by capturing the characteristics of personal handwriting. In: IAAI, pp. 191–196 (2009)
Wong, H.T., Ip, H.H.: Virtual brush: a model-based synthesis of chinese calligraphy. Computers & Graphics 24(1), 99–113 (2000)
Chu, N.H., Tai, C.L.: An efficient brush model for physically-based 3d painting. In: Proceedings of the 10th Pacific Conference on Computer Graphics and Applications, pp. 413–421. IEEE (2002)
Xu, S., Lau, F., Tang, F., Pan, Y.: Advanced design for a realistic virtual brush. In: Computer Graphics Forum, vol. 22, pp. 533–542. Wiley Online Library (2003)
Su, S.L., Xu, Y.Q., Shum, H.Y., Chen, F.: Simulating artistic brushstrokes using interval splines. In: Proceedings of the 5th IASTED International Conference on Computer Graphics and Imaging, pp. 85–90 (2002)
Mi, X.F., Tang, M., Dong, J.X.: Droplet: a virtual brush model to simulate chinese calligraphy and painting. Journal of Computer Science and Technology 19(3), 393–404 (2004)
Hu, R.: Portable implementation of digital ink: collaboration and calligraphy. PhD thesis, The University of Western Ontario (2009)
Su, S.L., Wu, C., Xu, Y.Q.: A hybrid approach to rendering handwritten characters (2004)
Hsu, S.C., Lee, I.H.: Drawing and animation using skeletal strokes. In: Proceedings of the 21st Annual Conference on Computer Graphics and Interactive Techniques, pp. 109–118. ACM (1994)
Zhu, X., Jin, L.: Calligraphic beautification of handwritten chinese characters: a patternized approach to handwriting transfiguration. In: Proceedings of ICFHR 2008, pp. 135–140 (2008)
Zitnick, C.L.: Handwriting beautification using token means. To appear in Proceedings of SIGGRAPH (2013)
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
Yi, T., Lian, Z., Tang, Y., Xiao, J. (2014). A Data-Driven Personalized Digital Ink for Chinese Characters. In: Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H., O’Connor, N. (eds) MultiMedia Modeling. MMM 2014. Lecture Notes in Computer Science, vol 8325. Springer, Cham. https://doi.org/10.1007/978-3-319-04114-8_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-04114-8_22
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04113-1
Online ISBN: 978-3-319-04114-8
eBook Packages: Computer ScienceComputer Science (R0)