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首页> 外文期刊>IEEE Transactions on Pattern Analysis and Machine Intelligence >Attributed string matching by split-and-merge for on-line Chinese character recognition
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Attributed string matching by split-and-merge for on-line Chinese character recognition

机译:通过拆分和合并进行属性字符串匹配,以在线识别汉字

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摘要

Consecutive strokes of Chinese characters tend to be connected in fast writing, and this causes a problem for most stroke-based recognition approaches. A recognition scheme for recognizing cursive Chinese characters under the constraint of correct stroke writing orders is proposed. The recognition scheme consists of two phases: candidate character selection and detailed matching. In the former phase, an input script with N strokes is used to split the strokes of each reference character into N corresponding parts. In the latter phase, the connected input strokes are broken into multiple strokes under the guidance of candidate characters. In both phases, dynamic programming is employed for stroke or character matching. Good experimental results prove the feasibility of the proposed approach for cursive Chinese character recognition.
机译:连续的汉字笔画往往会以快速书写方式连接在一起,这给大多数基于笔画的识别方法带来了问题。提出了一种在笔画书写顺序正确的条件下识别草书汉字的识别方案。识别方案包括两个阶段:候选字符选择和详细匹配。在前一个阶段中,使用具有N个笔划的输入脚本将每个参考字符的笔划分为N个对应部分。在后面的阶段中,在候选字符的引导下,将连接的输入笔划分为多个笔划。在两个阶段中,都采用动态编程进行笔画或字符匹配。良好的实验结果证明了该方法在草书汉字识别中的可行性。

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