| 基于弹性网格和方向线素特征的脱机手写汉字识别 |
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| 引用本文： | 杨玲,毛以芳,吴天爱.基于弹性网格和方向线素特征的脱机手写汉字识别[J].辽宁省交通高等专科学校学报,2008,10(1):38-39. |
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| 作者姓名： | 杨玲 毛以芳 吴天爱 |
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| 作者单位： | 1. 西华大学,四川成都,610039;辽宁省交通高等专科学校,辽宁沈阳,110122
2. 西华大学,四川成都,610039 |
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| 摘 要： | 弹性网格和方向线素特征已广泛应用于许多手写汉字识别系统中,并认为是目前较成熟和有效的手写体汉字特征.本文将传统弹性网格特征和方向线素特征相结合然后运用BP神经网络对其进行识别.实验证明,本文特征提取方法在识别率上优于传统的弹性网格方法.
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| 关 键 词： | 脱机手写汉字识别 弹性网格 方向线素 特征提取 |
| 文章编号： | 1008-3812(2008)01-038-02 |
| 修稿时间： | 2007年10月18 |
Off-line Handwrtitten Chinese Character Recongnition Research Based on Elastic Meshes and Directional Line Element Feature |
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| Yang Ling,Mao Yifang,Wu Tianai.Off-line Handwrtitten Chinese Character Recongnition Research Based on Elastic Meshes and Directional Line Element Feature[J].Journal of Liaoning Provincial College of Communications,2008,10(1):38-39. |
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| Authors: | Yang Ling Mao Yifang Wu Tianai |
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| Abstract: | The elastic meshes feature and the directional line element feature of handwrtitten Chinese character have been widely used in many Chinese handwriting recognition systems,and are considered as mature and effective features of Chinese handwriting character.In this paper,the elastic meshes feature and the directional line element feature are combined so as to be recognized by BP neural network.The experimental results show that the proposed feature extraction method is superior to the traditional elastic grid method in recognition rate. |
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| Keywords: | handwrtitten Chinese character recongnition elastic meshes feature extraction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
