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An approximate string matching algorithm for on-line Chinese character recognition

机译:在线汉字识别的近似字符串匹配算法

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摘要

We model a Chinese character by a linear sequence of straight line segments. The 2-dimensional structure of the character is captured by the use of pseudo strokes and stroke length attributes. An effective string match algortithm has been developed which can tolerate common types of distortions, e.g. connected strokes, missing/extra strokes, and variations in writhing sequence. A prototype system with 5401 commonly used Chinese characters has been built, and good recognition performance has been achieved.
机译:我们通过直线段的线性序列对汉字建模。通过使用伪笔画和笔画长度属性来捕获字符的二维结构。已经开发出一种有效的字符串匹配算法,该算法可以容忍常见的失真类型,例如关联的笔画,丢失/多余的笔画以及扭曲顺序的变化。构建了具有5401个常用汉字的原型系统,并取得了良好的识别性能。

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