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基于独立成分分析和模糊支持向量机的车标识别新方法
A novel method for vehicle-logo recognition based on independent component analysis and fuzzy support vector machine
【摘要】 提出了一种新的车标识别方法。首先,利用独立成分分析提取车标特征,然后,采用模糊支持向量机设计分类器进行车标识别。实验结果表明,与现有车标识别方法相比,该方法识别率高、速度快。
【Abstract】 A new vehicle-logo recognition method is proposed in this paper.Firstly,the feature of vehicle-logos is extracted by independent component analysis,and then the classifier for recognizing vehicle-logos is designed by fuzzy support vector machine.Experimental results show that the proposed method has higher accuracy and faster speed than the existing methods for vehicle-logo recognition.
【关键词】 车标识别;
主成分分析;
独立成分分析;
模糊支持向量机;
【Key words】 vehicle-logo recognition; principal component analysis; independent component analysis; FSVM;
【Key words】 vehicle-logo recognition; principal component analysis; independent component analysis; FSVM;
【基金】 辽宁省教育厅高等学校科研项目(L2010232)
- 【文献出处】 微型机与应用 ,Microcomputer & Its Applications , 编辑部邮箱 ,2011年13期
- 【分类号】TP391.41
- 【被引频次】5
- 【下载频次】238