Stroke extraction from Chinese characters by improved SLSA algorithm
Fu Jin, Zheng-Ming Chai, Xiaoqing Ding · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1993
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.