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Proceedings Paper

Visual improvement for bad handwriting based on Monte-Carlo method
Author(s): Cao Shi; Jianguo Xiao; Canhui Xu; Wenhua Jia
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Paper Abstract

A visual improvement algorithm based on Monte Carlo simulation is proposed in this paper, in order to enhance visual effects for bad handwriting. The whole improvement process is to use well designed typeface so as to optimize bad handwriting image. In this process, a series of linear operators for image transformation are defined for transforming typeface image to approach handwriting image. And specific parameters of linear operators are estimated by Monte Carlo method. Visual improvement experiments illustrate that the proposed algorithm can effectively enhance visual effect for handwriting image as well as maintain the original handwriting features, such as tilt, stroke order and drawing direction etc. The proposed visual improvement algorithm, in this paper, has a huge potential to be applied in tablet computer and Mobile Internet, in order to improve user experience on handwriting.

Paper Details

Date Published: 3 March 2014
PDF: 7 pages
Proc. SPIE 9027, Imaging and Multimedia Analytics in a Web and Mobile World 2014, 902708 (3 March 2014); doi: 10.1117/12.2041302
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)
Wenhua Jia, Peking Univ. (China)


Published in SPIE Proceedings Vol. 9027:
Imaging and Multimedia Analytics in a Web and Mobile World 2014
Qian Lin; Jan Philip Allebach; Zhigang Fan, Editor(s)

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