DocumentCode :
1580982
Title :
A Bezier curve-based approach to shape description for Chinese calligraphy characters
Author :
Yang, Hsi-Ming ; Lu, Jainn-Jyh ; Lee, Hsi-Jian
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
276
Lastpage :
280
Abstract :
In this paper, we propose a method to vectorize Chinese characters in calligraphy documents. Our system can prevent the zigzag phenomena when the characters are enlarged. The system contains two modules: contour segment extraction and description. In the former, high curvature points on contours are detected as corner points, which divide the contour into several segments. In the latter, a contour segment can be described either by a straight line or a cubic Bezier curve. According to relations between the contour segment and the Bezier curve, control points are adjusted to fit the contour segment better. When the curve fitness cost is small enough, the shape is described well. The processing time of our curve fitting is about five seconds per A4 image, which has 4488 contour segments. Experimental results demonstrate that our system is efficient and promising
Keywords :
character recognition; curve fitting; Bezier curve-based approach; Chinese calligraphy characters; calligraphy documents; contour segment extraction; cubic Bezier curve; curve fitting; shape description; zigzag phenomena; Art; Computer science; Costs; Curve fitting; Data mining; Humans; Image segmentation; Pattern recognition; Shape; Text processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7695-1263-1
Type :
conf
DOI :
10.1109/ICDAR.2001.953798
Filename :
953798
Link To Document :
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