| 基于2DPCA-ICA和SVM的车标识别新方法 |
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| 引用本文： | 李文举,孙娟红,韦丽华,李侠.基于2DPCA-ICA和SVM的车标识别新方法[J].辽宁师范大学学报(自然科学版),2011,34(2). |
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| 作者姓名： | 李文举 孙娟红 韦丽华 李侠 |
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| 作者单位： | 辽宁师范大学计算机与信息技术学院,辽宁大连,116081 |
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| 基金项目： | 辽宁省教育厅高等学校科研项目(L2010232) |
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| 摘 要： | 为了进一步提高车标识别率,提出了一种新的车标识别方法.首先应用二维主元分析技术进行数据降维,然后应用独立成分分析技术提取车标图像的特征,最后应用支持向量机技术设计分类器进行车标识别.实验结果表明,和现有方法相比,所提出的车标识别方法具有更高的识别率、更快的运算速度.
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| 关 键 词： | 车标识别 二维主元分析 独立成分分析 支持向量机 |
A novel method for vehicle-logo recognition based on 2DPCA-ICA and SVM |
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| LI Wen-ju,SUN Juan-hong,WEI Li-hua,LI Xia.A novel method for vehicle-logo recognition based on 2DPCA-ICA and SVM[J].Journal of Liaoning Normal University(Natural Science Edition),2011,34(2). |
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| Authors: | LI Wen-ju SUN Juan-hong WEI Li-hua LI Xia |
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| Institution: | LI Wen-ju,SUN Juan-hong,WEI Li-hua,LI Xia(College of Computer&Information Technology,Liaoning Normal University,Dalian 116081,China) |
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| Abstract: | To further improve the rate of vehicle-logo recognition,a novel approach of vehicle-logo recognition is presented in this paper.Firstly,two-dimensional principal component analysis(2DPCA) is applied to data dimension reduction for vehicle-logo images;secondly,independent component analysis(ICA) ia used to extract the vehicle-logo images's feature;finally,support vector machine(SVM) is adopted to design the classifier for recognizing vehicle-logos.Experimental results show that the proposed method in this pa... |
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| Keywords: | vehicle-logo recognition 2DPCA ICA SVM |
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