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Proceedings Paper

Stroke extraction from Chinese characters by improved SLSA algorithm
Author(s): Fu Jin; Zheng-Ming Chai; Xiaoqing Ding
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Paper Abstract

When syntactic pattern recognition approach is used to recognize handwritten Chinese characters it is inevitable that strokes from Chinese characters are extracted first. In 1987 Gu and Wang presented a stroke-extracting algorithm named straight line sequence approximation (SLSA) algorithm. SLSA does not need a thinning process, so it is very fast. However, in the crossing regions among strokes SLSA often extracts false strokes and causes stroke-splitting. The improved SLSA algorithm described in this paper aims at solving this problem.

Paper Details

Date Published: 22 October 1993
PDF: 8 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.157860
Show Author Affiliations
Fu Jin, Institute of Electronics (China)
Zheng-Ming Chai, Institute of Electronics (China)
Xiaoqing Ding, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

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