| 基于细识别的脱机手写体汉字识别的集成 |
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| 引用本文： | 杨艳,方应谦,韦大伟,张红旗.基于细识别的脱机手写体汉字识别的集成[J].计算机工程,2000,26(1):6-7,13. |
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| 作者姓名： | 杨艳 方应谦 韦大伟 张红旗 |
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| 作者单位： | 信息工程大学电子技术学院郑州 450004 |
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| 摘 要： | 目前脱机手写体汉字识别技术的细识别采用的方法有很多，如重心模糊网格法，势场特征撮法等，但第一一种方法都有不足之处，不能达到很的效果，该文提出了一种不细化担取笔划元法及综合３种识别方法的集成方案，使识别率有了很大的提高。
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| 关 键 词： | 细识别 综合集成 手写体汉字 汉字识别 计算机 |
| 文章编号： | 1000-3428(2000)01-0006-02 |
Integration of Fine Recognition in Off-line Handwritten Chinese Character Recognition |
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| Yang Yan,Fang Yingqian,Wei Dawei,Zhang Hongqi.Integration of Fine Recognition in Off-line Handwritten Chinese Character Recognition[J].Computer Engineering,2000,26(1):6-7,13. |
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| Authors: | Yang Yan Fang Yingqian Wei Dawei Zhang Hongqi |
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| Abstract: | There are many fine recognition algorithms such as weight fuzzy mesh algorithm,field features extracting algorithm in off-line handwritten Chinese character recognition.bllt none of them is very well for recognizing.Authors suggest one algorithm which is nonlinear extract i'tTOkes primitives algorithm and integrates three algorithms,which increases the recognition rate. |
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| Keywords: | Off-line handwritten Chinese character recognition Fine recognition Integration |
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