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基于支持向量机的传真收件人识别方法 被引量:3

The Method of Fax Receiver's Name Recognition Based on SVM
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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。 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.
出处 《计算机工程与应用》 CSCD 北大核心 2006年第7期156-158,共3页 Computer Engineering and Applications
关键词 支持向量机 字符识别 传真 特征提取 Support Vector Machines (SVM),character recognition, fax, feature extraction
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参考文献4

  • 1Vapnik V.张学工译.统计学习理论的本质[M].北京:清华大学出版社,1999
  • 2Platt J C.Sequential minimal optimization:a fast algorithm for training support vector machines.Advances in kernel methods support vector learning[M].Cambridge,MA:MIT Press,1999:185~208
  • 3高彦宇,杨扬.脱机手写体汉字识别研究综述[J].计算机工程与应用,2004,40(7):74-77. 被引量:16
  • 4Schomaker L,Vuurpijl L.Support Vector Machines for the classification of western handwritten capitals[C].In:Proceeding of Seventh International Workshop on Frontiers in Handwriting Recognition,2000:167~176

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