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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >RECURSIVE HIERARCHICAL RADICAL EXTRACTION FOR HANDWRITTEN CHINESE CHARACTERS
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RECURSIVE HIERARCHICAL RADICAL EXTRACTION FOR HANDWRITTEN CHINESE CHARACTERS

机译:手写汉字的递归分层自由基提取

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摘要

In this paper, we propose a recursive hierarchical scheme for radical extraction of Chinese characters. The proposed scheme, which combines structural method and statistical method, includes three modules. They are character pattern detection module, straight cut line detection module, and stroke clustering module. Experiments are conducted on 1824 constrained handwritten characters. The successful rate of radical extraction is 96%. The experimental results reveal the feasibility and validity of our proposed approach. (C) 1997 Pattern Recognition Society. [References: 21]
机译:在本文中,我们提出了一种用于汉字根部提取的递归分层方案。该方案结合了结构方法和统计方法,包括三个模块。它们是字符模式检测模块,直线切割模块和笔划聚类模块。对1824个受约束的手写字符进行了实验。自由基提取的成功率为96%。实验结果表明了该方法的可行性和有效性。 (C)1997模式识别学会。 [参考:21]

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