Segmentation of knowledge-radicals for on-line handwritten Chinese characters

Chao-Hao Lee; Ming-Wen Chang; Hon-Fai Yau; Bor-Shenn Jeng; Dung-Ming Shieh; Char-Shin Miou; Chi-Jain Wen

doi:10.1117/12.186558

21 September 1994 Segmentation of knowledge-radicals for on-line handwritten Chinese characters

Chao-Hao Lee, Ming-Wen Chang, Hon-Fai Yau, Bor-Shenn Jeng, Dung-Ming Shieh, Char-Shin Miou, Chi-Jain Wen

Proceedings Volume 2298, Applications of Digital Image Processing XVII; (1994) https://doi.org/10.1117/12.186558
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

In this paper, a segmentation method of knowledge-radicals for on-line handwritten Chinese characters (OLHCC) is proposed. Using the methods of finding local minimum and finding minimum of sum in local regions, some segmentation lines are obtained. We use a trick called `line segment shortening' to improve the above mentioned methods if overlapped radicals exist in a character. Based on the common writing habits of people, the decision algorithms are proposed to identify the correctness of segmentation lines. Our experimental results are conducted on ten databases of 5401 frequently used Chinese characters that users wrote according to their habits. An average suitable segmentation rate of more than 94% has been obtained, which shows that our algorithm is reliable.

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Chao-Hao Lee, Ming-Wen Chang, Hon-Fai Yau, Bor-Shenn Jeng, Dung-Ming Shieh, Char-Shin Miou, and Chi-Jain Wen "Segmentation of knowledge-radicals for on-line handwritten Chinese characters", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186558

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KEYWORDS

Image segmentation

Inspection

Databases

Optical character recognition

Telecommunications

Detection and tracking algorithms

Optical communications

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