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Proceedings Paper

Feature-based noise reduction in preprocessing for optical Chinese handwritten character recognition
Author(s): Ming-Wen Chang; Bor-Shenn Jeng; Dung-Ming Shieh; Shih-Fu Shy; Chao-Hao Lee; Chi-Jain Wen; Char-Shin Miou
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Paper 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.

Paper Details

Date Published: 21 September 1994
PDF: 10 pages
Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); doi: 10.1117/12.186577
Show Author Affiliations
Ming-Wen Chang, National Central Univ. (Taiwan)
Bor-Shenn Jeng, National Central Univ. and Ministry of Transportation and Communications (Taiwan)
Dung-Ming Shieh, National Central Univ. (Taiwan)
Shih-Fu Shy, National Central Univ. (Taiwan)
Chao-Hao Lee, National Central Univ. (Taiwan)
Chi-Jain Wen, National Central Univ. (Taiwan)
Char-Shin Miou, National Central Univ. and Ministry of Transportation and Telecommunications (Taiwan)

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

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