| 基于纹理特征与ν-SVM的车牌汉字识别 |
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| 引用本文： | 束贇.基于纹理特征与ν-SVM的车牌汉字识别[J].电子工程师,2012(2):38-40,54. |
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| 作者姓名： | 束贇 |
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| 作者单位： | 东南大学学习科学研究中心,南京210096 |
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| 摘 要： | 车牌汉字识别是车牌字符识别中的难点,文章通过对二维Gabor小波特征以及支持向量机（Support vector machine,SVM）分类器进行详细的分析,采用二维奇对称Gabor小波作字符特征滤波函数,并通过基于ν-SVM的多类分类器对数据进行训练及分类,设计了一种能够应用于实际系统的汉字字符识别方法。
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| 关 键 词： | 二维奇对称Gabor小波 支持向量机 引入参数ν的支持向量机（ν-SVM） 多类SVM |
Recognition of Chinese Character on License Plate Based on Texture Features and v-SVM |
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| Shu Yun.Recognition of Chinese Character on License Plate Based on Texture Features and v-SVM[J].Electronic Engineer,2012(2):38-40,54. |
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| Authors: | Shu Yun |
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| Affiliation: | Shu Yun(Research Center of Learning Science,Southeast University,Nanjing 210096,China) |
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| Abstract: | The recognition on the Chinese character is always the difficult point in license plate recognition.A feasible methodology of the Chinese characters recognition is studied in this paper.In this paper,2D-Gabor and SVM are analyzed.After that,2D odd-symmetry Gabor wavelet is used as the filter function of characters,and the data is trained and classified by using multi-class SVM based on v-SVM. |
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| Keywords: | 2D odd-symmetry Gabor wavelet support vector machine（SVM） v-SVM multi-class SVM |
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