| 基于多类支持向量机的印刷体数学表达式符号识别的研究 |
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| 引用本文： | 佟树成,杜时英.基于多类支持向量机的印刷体数学表达式符号识别的研究[J].科技信息,2009(23):246-246,242. |
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| 作者姓名： | 佟树成 杜时英 |
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| 作者单位： | 嘉兴职业技术学院; |
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| 摘 要： | 数学表达式符号识别是根据所提取的数学符号特征值，用恰当的分类器对符号进行分类识别，把未知类别的样本确定为类型空间中的某一种类型。本文运用多类支持向量机很好地解决了数学表达式符号识别问题。实验结果表明，该方法是比较成功的。
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| 关 键 词： | 多类支持向量机 印刷体数学表达式 符号识别 |
The Research of the Multi-Category SVMs in Printed Mathematical Expressions Recognition |
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| TONG Shu-cheng DU Shi-ying.The Research of the Multi-Category SVMs in Printed Mathematical Expressions Recognition[J].Science,2009(23):246-246,242. |
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| Authors: | TONG Shu-cheng DU Shi-ying |
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| Institution: | Jiaxing Vocational and Technical College;Jiaxing;ZheJiang;314036 |
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| Abstract: | The Printed Mathematical Expressions Recognition is based on extracted eigenvalue of mathematical symbols ,with appropriate classification of the symbol recognition to determine the type of the unknown samples. In this paper, the problem of printed mathematical expressions recognition is resolved by Multi-Class Support Vector Machine very well. Experimental results show that the method is quite successful. |
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| Keywords: | Multi-Category SVMs Printed Mathematical Expressions Symbol Recognition |
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