Paper
22 October 1993 Stroke extraction from Chinese characters by improved SLSA algorithm
Fu Jin, Zheng-Ming Chai, Xiaoqing Ding
Author Affiliations +
Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157860
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fu Jin, Zheng-Ming Chai, and Xiaoqing Ding "Stroke extraction from Chinese characters by improved SLSA algorithm", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157860
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KEYWORDS
Image segmentation

Detection and tracking algorithms

Image processing algorithms and systems

Pattern recognition

Image processing

Binary data

Computer simulations

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