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基于MATLAB神经网络工具箱的字符识别 被引量:1

Character Recognition Based on Neual Network ToolBox of MATLAB
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摘要 介绍了运用前馈神经网络处理字符识别问题的原理,同时阐述了用MATLAB经网络工具箱进行字符识别的方法和步骤,为用神经网络进行字符识别提供了一种解决方案,具有很强的应用价值。 This paper introduces the use of neural network recognition of the principle characters, meanwhile expounds on the network using MATLAB toolbox for character recognition methods and steps. Examples to verify its validity and accuracy of character recognition using neural networks to provide a solution that is of great value.
出处 《机电产品开发与创新》 2006年第6期101-102,共2页 Development & Innovation of Machinery & Electrical Products
关键词 MATLAB神经网络工具箱 前馈神经网络 字符识别 MATLAB Neual Network ToolBox Feedforward neural network Character recognition
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参考文献4

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同被引文献4

  • 1El-hajj R, Likforman-Sulem L, Mokbel C. Arabic Handwriting Recognition Using Baseline Dependant Features and Hidden Markov Modeling[C]. Proc Int'l Conf Document Analysis and Recognition,2005,891-892.
  • 2LorigoL,Govindarajuv. Of[line Arabic hand writingrecognition: a survey[J].IEEE Trans actions on Pattern Analysis and Machine Intelligence,2006,28(5):712-724.
  • 3Khorsheed M S.Off-Line Arabic Character Recongnition[J]. A Review. Pattern Analysis and Applications,2002,(5):32-44.
  • 4阿地力.依米提,卢朝阳,李静,刘吉超.一种脱机手写维吾尔文切分的方法[J].新疆师范大学学报(自然科学版),2010,29(4):72-76. 被引量:3

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