| 基于Gabor变换和支持向量机的车牌字符识别算法 |
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| 引用本文： | 杨晓敏,吴炜,黎涛,何小海.基于Gabor变换和支持向量机的车牌字符识别算法[J].四川大学学报(工程科学版),2005,37(5):130-134,138. |
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| 作者姓名： | 杨晓敏 吴炜 黎涛 何小海 |
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| 作者单位： | 四川大学,电子信息学院,四川,成都,610064 |
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| 摘 要： | 为了提高车牌字符识别率，将支持向量机SVM方法用于车牌字符的识别，算法首先采用Gabor变换和整体结构特征提取的方法提取车牌字符图像的特征参数，然后采用提取的特征训练SVM分类器，再应用SVM分类器分类和判别车牌字符。实验表明这种方法具有良好的车牌识别效果，较强的鲁棒性，有较大的应用价值。
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| 关 键 词： | 支持向量机 车牌字符识别 特征提取 Gabor变换 |
| 文章编号： | 1009-3087（2005）05-0130-05 |
| 收稿时间： | 01 4 2005 12:00AM |
| 修稿时间： | 2005-01-04 |
An Algorithm Based on Gabor Filter and SVM for Licence Plate Recognition |
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| YANG Xiao-min,WU Wei,LI Tao,HE Xiao-hai.An Algorithm Based on Gabor Filter and SVM for Licence Plate Recognition[J].Journal of Sichuan University (Engineering Science Edition),2005,37(5):130-134,138. |
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| Authors: | YANG Xiao-min WU Wei LI Tao HE Xiao-hai |
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| Affiliation: | School of Electronics and lnfo. ,Sichuan Univ. ,Chengdu 610064, China |
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| Abstract: | An algorithm based on Gabor filter and Support Vector Machine(SVM) was proposed for vehicle license plate recognition. First, the features of plate characters were detected by Gabor filter and global structural feature extraction. Then the features were used to train the SVM classifier. Finally, the plate characters were classified by the SVM machines. Using the algorithm, a high recognition rate can be reached. Experimental results showed that the algorithm is feasible, robust and applicable. |
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| Keywords: | support vector machines license plate recognition feature extraction Gabor filter |
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