| 基于支持向量机的传真收件人识别方法 |
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| 引用本文： | 林开标,王周敬. 基于支持向量机的传真收件人识别方法[J]. 计算机工程与应用, 2006, 42(7): 156-158 |
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| 作者姓名： | 林开标 王周敬 |
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| 作者单位： | 厦门大学自动化系,福建,厦门,361005;厦门大学自动化系,福建,厦门,361005 |
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| 摘 要： | 在字符特征提取基础上,文章提出了应用支持向量机对传真收件人进行识别的方案,解决了传真收件人格式、表示方法多样性而导致的自动分发困难的问题。文中对四种常用的核函数分别进行了实验,选取了对传真收件人具有较高识别率的核函数,它有利于实现传真文件的自动分发。
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| 关 键 词： | 支持向量机 字符识别 传真 特征提取 |
| 文章编号： | 1002-8331-（2006）07-0156-03 |
| 收稿时间： | 2005-09-01 |
| 修稿时间： | 2005-09-01 |
The Method of Fax Receiver's Name Recognition Based on SVM |
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| Lin Kaibiao,Wang Zhoujing. The Method of Fax Receiver's Name Recognition Based on SVM[J]. Computer Engineering and Applications, 2006, 42(7): 156-158 |
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| Authors: | Lin Kaibiao Wang Zhoujing |
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| Affiliation: | Dept. of Automation, Xiamen University, Xiamen, Fujian 361005 |
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| Abstract: | Based on characters feature extraction,the scheme of fax receiver's recognition is advanced in this paper by the use of SVM,which solves some problems such as the format of fax receiver and the difficulty of intelligent distribution caused by the diversity of expressing methods.Four common kernel functions are experimented respectively in this paper,and the kernel function that has better recognizing accuracy to fax receiver is selected,which can make for the realization of the intelligent distribution of fax. |
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| Keywords: | Support Vector Machines(SVM) character recognition fax feature extraction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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