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Proceedings Paper

Automatic generation of Chinese character using features fusion from calligraphy and font
Author(s): Cao Shi; Jianguo Xiao; Canhui Xu; Wenhua Jia
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Paper Abstract

A spatial statistic based contour feature representation is proposed to achieve extraction of local contour feature from Chinese calligraphy character, and a features fusion strategy is designed to automatically generate new hybrid character, making well use of contour feature of calligraphy and structural feature of font. The features fusion strategy employs dilation and erosion operations iteratively to inject the extracted contour feature from Chinese calligraphy into font, which are similar to “pad” and “cut” in a sculpture progress. Experimental results demonstrate that the generated new hybrid character hold both contour feature of calligraphy and structural feature of font. Especially, two kinds of Chinese calligraphy skills called “Fei Bai” and “Zhang Mo” are imitated in the hybrid character. “Fei Bai” depicts a phenomenon that part of a stroke fade out due to the fast movement of hair brush or the lack of ink, and “Zhang Mo” describes a condition that hair brush holds so much ink that strokes overlap.

Paper Details

Date Published: 28 February 2014
PDF: 7 pages
Proc. SPIE 9012, The Engineering Reality of Virtual Reality 2014, 90120N (28 February 2014); doi: 10.1117/12.2038945
Show Author Affiliations
Cao Shi, Peking Univ. (China)
Qingdao Univ. of Science and Technology (China)
Jianguo Xiao, Peking Univ. (China)
Canhui Xu, Peking Univ. (China)
Qingdao Univ. of Science and Technology (China)
State Key Lab. of Digital Publishing Technology (China) and Zhongguancun Haidian Science Park (China)
Wenhua Jia, Peking Univ. (China)


Published in SPIE Proceedings Vol. 9012:
The Engineering Reality of Virtual Reality 2014
Margaret Dolinsky; Ian E. McDowall, Editor(s)

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