| 基于笔划方向特征和非对称分布的手写体汉字识别 |
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| 引用本文： | 李国宏,施鹏飞.基于笔划方向特征和非对称分布的手写体汉字识别[J].上海交通大学学报,2005,39(12):1988-1992. |
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| 作者姓名： | 李国宏 施鹏飞 |
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| 作者单位： | 上海交通大学,图像处理与模式识别研究所,上海,200030;上海交通大学,图像处理与模式识别研究所,上海,200030 |
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| 基金项目： | 国家自然科学基金资助项目（60075007） |
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| 摘 要： | 基于笔划方向特征和非对称分布的手写体汉字识别模型，提出一种从手写体汉字骨骼图像上提取分叉点的有效改进算法，保证笔划提取的可靠性，并直接从笔划结构上计算统计识别特征矢量；采用主向量空间的非对称参数分布模型计算距离测度．实验表明，基于笔划方向特征和非对称分布的统计识别模型具有优良的识别性能．
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| 关 键 词： | 汉字识别 手写体汉字 笔划 非对称分布 |
| 文章编号： | 1006-2467(2005)12-1988-05 |
| 收稿时间： | 2005-01-22 |
| 修稿时间： | 2005年1月22日 |
The Recognition of Handwritten Chinese Character by Stroke Orientation and Asymmetric Distribution |
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| LI Guo-hong,SHI Peng-fei.The Recognition of Handwritten Chinese Character by Stroke Orientation and Asymmetric Distribution[J].Journal of Shanghai Jiaotong University,2005,39(12):1988-1992. |
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| Authors: | LI Guo-hong SHI Peng-fei |
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| Abstract: | An approach based on stroke orientation and asymmetric distribution model about feature parameter was proposed, which incorporates structural feature into statistical strategy. An improvement to the algorithm for extracting fork points from skeleton images defends the reliability of stroke extraction. The feature vector for statistical recognition is extracted directly from stroke structure, and the asymmetric distribution model is applied to compute distances. The experimental results indicate that the proposed system is effective to handwritten Chinese character recognition. |
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| Keywords: | Chinese character recognition handwritten Chinese character stroke asymmetric distribution |
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