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

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。

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.