| 车牌字符识别的混合特征提取方法 |
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| 引用本文： | 王璞,董慧颖. 车牌字符识别的混合特征提取方法[J]. 沈阳理工大学学报, 2003, 22(1): 30-33 |
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| 作者姓名： | 王璞 董慧颖 |
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| 作者单位： | 沈阳工业学院,信息科学与工程分院,辽宁,沈阳,110016 |
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| 摘 要： | 分析了特征维数与分类错误概率的关系，提出了增加新特征，采用混合特征提取方法进行分类器设计。结果表明增加的新特征可以提高分类器的性能，并能使识别率明显提高。在问题的概率结构完全已知的情况下，增添新特征不会增加Bayes风险。
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| 关 键 词： | 模式识别 混合特征提取 车牌字符识别 |
| 文章编号： | 1003-1251(2003)01-0030-04 |
| 修稿时间： | 2002-07-12 |
Extracting Method of Mixed Features for Car License-Plate Characters Recognition |
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| WANG Pu,DONG Hui ying. Extracting Method of Mixed Features for Car License-Plate Characters Recognition[J]. Transactions of Shenyang Ligong University, 2003, 22(1): 30-33 |
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| Authors: | WANG Pu DONG Hui ying |
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| Abstract: | This paper analyzes the relationship between dimensions of feature and the probability of classification mistakes. New features are added to increase the recognition rate. The classifier is designed by using mixed features extracting methods. The results show that the newly added features can improve the performances of the classifier obviously. And the recognition rate is higher than that it was before. If the probability structure of problem is completely known, the new features will not increase the Bayes risk. |
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| Keywords: | patten recognition mixed features extracting method car license plate recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
