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基于加强贝叶斯分类的手写体数字识别 被引量:4

Handwriting Digit Recognition Based on Enhanced Bayes Classification
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摘要 提出了一种手写体数字识别的新方案。在方案中,设计了一种加强贝叶斯分类器,该分类器可以对训练集进行反馈式学习。经过一定强度的训练,能够对测试过程加以监督和修正。通过对实际样本的测试证实该方法的有效性。 This paper proposes a new method of handwriting digit recognition. In this new method, the paper designs a new type of enhanced Bayes classifier, which could process study - under - feed - back on training data. After some certain intensity of training, the classifier can implement supervision and correction to the process of testing. The validity of this method is authenticated when completed the experiments on practical data.
作者 罗成 孙越恒
出处 《微处理机》 2009年第3期77-79,共3页 Microprocessors
关键词 手写体识别 贝叶斯分类 反馈式学习 Handwriting recognition Bayes classification Study - under - feedback
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参考文献5

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同被引文献27

  • 1蒙庚祥,方景龙.基于支持向量机的手写体数字识别系统设计[J].计算机工程与设计,2005,26(6):1592-1594. 被引量:15
  • 2耿西伟,张猛,沈建京.基于结构特征分类BP网络的手写数字识别[J].计算机技术与发展,2007,17(1):130-132. 被引量:13
  • 3Dai Ruwei,Liu Chenglin,Xiao Baihua.Chinese Character Recognition:History,Status and Prospects[J].Frontiers of Computer Science in China,2007,1(2):126-136.
  • 4Shin J,Sakoe H.Optimal Stroke-correspondence Search Method for On-line Character Recognition[J].Pattern Recognition Letters,2002,23(6):601-608.
  • 5Lee Seong-whan,Kim Chang-hun,Ma Hong,et al.Multiresolution Recognition of Unconstrained Handwritten Numerals with Wavelet Transform and Multilayer Cluster Neural Network[J].Pattern Recognition,1996,29(12):1953-1961.
  • 6Hu Jiangying,Lim Sok-gek,Michael K.Writer Independent On-line Handwriting Recognition Using an HMM Approach[J].Pattern Recognition,2000,33(1):133-147.
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  • 8Li Yanfang,Yang Huamin,Xu Jing.Chinese Character Recognition Method Based on Multi-features and Parallel Neural Network Computation[C] //Proc.of the 3rd InternationalConference on Advanced Intelligent Computing Theories and Applications.Qingdao,China:[s.n.] ,2007.
  • 9Fu Chang.Techniques for Solving the Large-scale Classification Problem in Chinese Handwriting Recognition[C] //Proc.of the 2006 Conference on Arabic and Chinese Handwriting Recognition.College Park,USA:Springer-Verlag,2008.
  • 10Bahlmann C,Haasdonk B,Burkhardt H,et al.On-line Handwriting Recognition with Support Vector Machines--A Kernel ApproachC] //Proc.of the 8th International Workshop on Frontiers in Handwriting Recognition.[S.l.] :IEEE Computer Society,2002.

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