An algorithm for stroke corner detection based on curvature multi-calculation is proposed to extract characteristics for OLCCR (on-line handwritten Chinese character recognition).
提出一个基于多重曲率计算的角点检测算法，对联机手写汉字识别中的笔划拐点进行提取。
This paper introduces a method of on-line handwritten Chinese character stroke recognition that is suited to the needs of character glyph analysis and the practical algorithm is given.
文中提出了两种联机手写笔画识别后处理的优化方案，第一种是基于回溯策略的后处理算法，通过回溯法修正误识的笔画； 第二种称为多候选笔画组合算法。
This paper introduces an approach to recognizing on line handwritten Chinese characters, which gets ordered sequence of line segments based on the Dynamic Chinese character base units.
本文给出了一种基于动态汉字基元获取笔段有序序列的联机手写汉字识别方法。
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