| Improved Approach Based on SVM for License Plate Character Recognition |
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| 作者姓名： | 王晓华 王晓光 |
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| 作者单位： | School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China |
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| 摘 要： | An improved approach based on support vector machine （SVM） called the center distance ratio method is presented for license plate character recognition. First the support vectors are pre-extraeted. A minimal set called the margin vector set, which contains all support vectors, is extracted. These margin vectors compose new training data and construct the classifier by using the general SVM optimized. The experimental resuhs show that the improved SVM method does well at correct rate and training speed.
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| 关 键 词： | SVM 向量支持机器 支持向量 特征性别 |
| 文章编号： | 1004-0579（2005）04-0378-04 |
| 收稿时间： | 2004-04-22 |
Improved Approach Based on SVM for License Plate Character Recognition |
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| WANG Xiao-hua and WANG Xiao-guang.Improved Approach Based on SVM for License Plate Character Recognition[J].Journal of Beijing Institute of Technology,2005,14(4):378-381. |
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| Authors: | WANG Xiao-hua and WANG Xiao-guang |
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| Affiliation: | School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | An improved approach based on support vector machine (SVM) called the center distance ratio method is presented for license plate character recognition. First the support vectors are pre-extracted. A minimal set called the margin vector set, which contains all support vectors, is extracted. These margin vectors compose new training data and construct the classifier by using the general SVM optimized. The experimental results show that the improved SVM method does well at correct rate and training speed. |
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| Keywords: | support vector machine (SVM) center distance ratio method margin vector support vector character recognition |
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