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.
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 paper has higher accuracy,quicker speed for vehicle-logo recognition.
出处
《辽宁师范大学学报（自然科学版）》
CAS
2011年第2期166-169,共4页
Journal of Liaoning Normal University:Natural Science Edition
基金
辽宁省教育厅高等学校科研项目(L2010232)
