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Proceedings Paper

Stroke extraction of handwritten Chinese character based on modified polygonal approximation
Author(s): Hon-Fai Yau; Bor-Shenn Jeng; Ming-Wen Chang; Chi-Jain Wen; Char-Shin Miou; Dung-Ming Shieh; Chao-Hao Lee
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Paper Abstract

In this paper, we describe an intelligent stroke extraction method based on modified polygonal approximation. Since a Chinese character is written stroke by stroke, we can regard Chinese characters as a collection of strokes. Therefore, if the strokes are extracted properly, the complexity for recognizing handwritten Chinese characters will be simplified. Using a thinning algorithm to find out the strokes of an input Chinese character has been suggested by many proposed papers. However, the thinning result is very sensitive to noise and the thinning process is time-consuming. Hence, a method for extracting strokes with robustness to noises and time-saving is highly desired. In this paper, we propose a stroke extraction method based on modified polygonal approximation. This method is more efficient and accurate in extracting strokes than any others.

Paper Details

Date Published: 21 September 1994
PDF: 9 pages
Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); doi: 10.1117/12.186557
Show Author Affiliations
Hon-Fai Yau, National Central Univ. (Taiwan)
Bor-Shenn Jeng, Ministry of Transportation and Communications (Taiwan)
Ming-Wen Chang, National Central Univ. (Taiwan)
Chi-Jain Wen, National Central Univ. (Taiwan)
Char-Shin Miou, National Central Univ. (Taiwan)
Dung-Ming Shieh, National Central Univ. (Taiwan)
Chao-Hao Lee, National Central Univ. (Taiwan)


Published in SPIE Proceedings Vol. 2298:
Applications of Digital Image Processing XVII
Andrew G. Tescher, Editor(s)

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