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 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
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.