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首页> 外文期刊>International Journal of Computer Processing of Oriental Languages >Handwritten Chinese Address Recognition Based on Enhanced Key Character Extraction and Holistic Word Matching
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Handwritten Chinese Address Recognition Based on Enhanced Key Character Extraction and Holistic Word Matching

机译：基于增强关键字符提取和整体词匹配的手写中文地址识别

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摘要

A handwritten Chinese address recognition (HCAR) system is proposed in this paper. Handwritten Chinese addresses are difficult to recognize because handwritten Chinese characters are characterized by a large vocabulary, complicated structure, irregular distortion and touching characters, etc. The proposed approach takes good advantage of Chinese address knowledge, and applies key character extraction and holistic word matching in solving the problem. Different from conventional approaches, the proposed approach can successfully avoid character segmentation errors. Experimental results show the proposed approach is very effective.
机译：本文提出了一种手写的中文地址识别（HCAR）系统。由于手写汉字具有词汇量大，结构复杂，不规则变形和触摸字等特点，因此难以识别。该方法充分利用了汉字地址知识，并在汉字中应用了关键字符提取和整体词匹配解决问题。与传统方法不同，该方法可以成功避免字符分割错误。实验结果表明，该方法是非常有效的。

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