Visual Improvement for Bad Handwriting based on Monte-Carlo Method | |
Shi, Cao ; Xiao, Jianguo ; Xu, Canhui ; Jia, Wenhua | |
2014 | |
关键词 | Visual improvement handwriting Monte Carlo simulation typeface CHINESE CALLIGRAPHIC WRITINGS AUTOMATIC-GENERATION BRUSH MODEL |
英文摘要 | 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.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000335755000006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Engineering, Electrical & Electronic; Optics; EI; CPCI-S(ISTP); 0 |
语种 | 英语 |
DOI标识 | 10.1117/12.2041302 |
内容类型 | 其他 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/321141] |
专题 | 信息科学技术学院 |
推荐引用方式 GB/T 7714 | Shi, Cao,Xiao, Jianguo,Xu, Canhui,et al. Visual Improvement for Bad Handwriting based on Monte-Carlo Method. 2014-01-01. |
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