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Proceedings Paper

HCCR by contour-based elastic mesh fuzzy feature
Author(s): Limin Sun
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Paper Abstract

Offline handwritten Chinese character recognition is one of the difficult problems in pattern recognition area because of its large stroke distortion, writing anomaly, and no stroke ranking information can be gotten. The basic characteristic of Chinese character is that it is composed of four kinds of stroke, i.e. horizontal, vertical, 45 degree direction and 135 degree direction. A Chinese character can be uniquely confirmed by the quantity of the four directional strokes and its relative position. From the contour of Chinese character, we can get the features mentioned above. In this paper, we proposed first to modify an existed contour extraction algorithm and obtained strict single pixel contour of Chinese character, and then to give a contour-based elastic mesh fuzzy feature extraction method. Comparison experimental results show that the performance of our approaches is encouraging and can be comparable to other algorithms.

Paper Details

Date Published: 16 January 2006
PDF: 8 pages
Proc. SPIE 6067, Document Recognition and Retrieval XIII, 606703 (16 January 2006); doi: 10.1117/12.648608
Show Author Affiliations
Limin Sun, Yantai Univ. (China)


Published in SPIE Proceedings Vol. 6067:
Document Recognition and Retrieval XIII
Kazem Taghva; Xiaofan Lin, Editor(s)

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