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3 March 2014 Visual improvement for bad handwriting based on Monte-Carlo method
Cao Shi, Jianguo Xiao, Canhui Xu, Wenhua Jia
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Proceedings Volume 9027, Imaging and Multimedia Analytics in a Web and Mobile World 2014; 902708 (2014) https://doi.org/10.1117/12.2041302
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
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.
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Cao Shi, Jianguo Xiao, Canhui Xu, and Wenhua Jia "Visual improvement for bad handwriting based on Monte-Carlo method", Proc. SPIE 9027, Imaging and Multimedia Analytics in a Web and Mobile World 2014, 902708 (3 March 2014); https://doi.org/10.1117/12.2041302
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KEYWORDS
Visualization
Image processing
Monte Carlo methods
Tablets
Algorithm development
Image enhancement
Statistical analysis
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