Feature-based noise reduction in preprocessing for optical Chinese handwritten character recognition

Ming-Wen Chang; Bor-Shenn Jeng; Dung-Ming Shieh; Shih-Fu Shy; Chao-Hao Lee; Chi-Jain Wen; Char-Shin Miou

doi:10.1117/12.186577

21 September 1994 Feature-based noise reduction in preprocessing for optical Chinese handwritten character recognition

Ming-Wen Chang, Bor-Shenn Jeng, Dung-Ming Shieh, Shih-Fu Shy, Chao-Hao Lee, Chi-Jain Wen, Char-Shin Miou

Proceedings Volume 2298, Applications of Digital Image Processing XVII; (1994) https://doi.org/10.1117/12.186577
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

In this paper, a novel idea of preprocessing which is based on features to perform a global noise reduction is proposed. First, we extract the stroke features of Chinese characters and define contour data structure to describe it, and then, by means of clustering and classification techniques, we can get templates to proceed modification. This method is very different from traditional treatment in preprocessing. The experimental tests of 5401 handwritten characters show the satisfactory results and support that it is an available method.

Citation Download Citation

Ming-Wen Chang, Bor-Shenn Jeng, Dung-Ming Shieh, Shih-Fu Shy, Chao-Hao Lee, Chi-Jain Wen, and Char-Shin Miou "Feature-based noise reduction in preprocessing for optical Chinese handwritten character recognition", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186577

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