| 基于改进的BP神经网络下的字符识别 |
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| 引用本文： | 陆玉,张华.基于改进的BP神经网络下的字符识别[J].韶关学院学报,2014(2):20-24. |
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| 作者姓名： | 陆玉 张华 |
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| 作者单位： | [1]阜阳职业技术学院人文社科系 [2]阜阳职业技术学院实训中心,安徽阜阳236031 |
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| 基金项目： | 阜阳职业技术学院2013年校级科研项目（2013JKYXM11）. |
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| 摘 要： | 我国字符一般由汉字、英文字母以及阿拉伯数字组成,字符图片的类型众多给字符的识别带来了很多困难.参照目前现有人工智能算法的优点,结合了字符特征提取方法设计了一个改进的BP神经网络对归一化后的三类字符进行识别,取得了预期效果.
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| 关 键 词： | 特征提取 神经网络 字符识别 |
Character recognition based on improved BP neural network |
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| LU Yul,ZHANG Hua.Character recognition based on improved BP neural network[J].Journal of Shaoguan University(Social Science Edition),2014(2):20-24. |
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| Authors: | LU Yul ZHANG Hua |
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| Institution: | 2 (1.Department of Humanities and Social Science, Fuyang Vocational and Technical College; 2.The training center, Fuyang Vocational and Technical College, Fuyang 236031, Anhui, China) |
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| Abstract: | Chinese characters are generally composed of Chinese characters, English letters and Arabic numerals. Many types of characters in the picture have brought a lot of difficulties to the character recognition~ Referring to the advantages of artificial intelligence algorithms currently available, this paper combined the character feature extraction methods to design an improved BP neural network on three types of characters after normalization to identify and reduce the difficulty of character recognition, and achieved the expected results. |
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| Keywords: | feature extraction neural networks character recognition |
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