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