基于图像隶属度的主分量分析人脸识别算法

Face recognition based on degree of membership of image and principle component analysis

提出了基于图像隶属度的主分量人脸识别算法。该算法首先用小波变换对人脸图像进行小波分解,形成低频小波子图,然后用主分量分析法构造特征脸子空间。计算训练样本和待测样本在人脸特征空间中的投影向量间的距离。引入图像隶属函数,作为识别分类器进行人脸识别。针对ORL人脸库的实验结果表明该方法具有良好的识别分离能力。

In this paper, degree of membership combined with principal component analysis is applied to human face recognition. After extracting low frequency sub - band of face image in wavelet transform, the eignface space is constructed by PCA. Then the distance of training samples and test samples with projection vector are calculated respectively. Finally, the membership function of image as classifier to solve the recognition problem of human facial images is introduced. The experiments on ORL face database show that the degree of membership of image has effective ability of recognition and distinction.