Paper
21 September 1994 Stroke extraction of handwritten Chinese character based on modified polygonal approximation
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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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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hon-Fai Yau, Bor-Shenn Jeng, Ming-Wen Chang, Chi-Jain Wen, Char-Shin Miou, Dung-Ming Shieh, and Chao-Hao Lee "Stroke extraction of handwritten Chinese character based on modified polygonal approximation", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186557
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KEYWORDS
Algorithm development

Detection and tracking algorithms

Image processing

Image segmentation

Optical character recognition

Indium oxide

Pattern recognition

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