基于量子遗传算法的支持向量机人脸识别技术

首先应用K-L变换对人脸图像进行特征提取,然后利用支持向量机对其进行识别。由于支持向量机的参数对识别性能有较大影响,因此这篇文章文采用量子遗传算法对支持向量机参数进行选取。算法解决了支持向量机参数选取的难题。利用ORL人脸库进行仿真实验,得到了较好的识别效率。

Face Recognition Based on Support Vector Machine and Quantum Genetic Algorithm

This paper proposes a face recognition method based on support vector machine(SVM) and Quantum Genetic Algorithm(QGA),applies the method of K-L transformation to extract the features of face images and then put these features into SVM for recogni-tion.As the parameters of SVM play a important role in the process of recognition,Quantum Genetic Algorithm(QGA) is applied to search for the best parameters of SVM.In this way,the algorithm solves the problem of SVM' s parameters selection.The recognition ex-periment result show a good performance in ORL face database.