基于PCA的人脸识别方法设计与实现

Design and Implementation of Face Recognition Method Based on PCA

人脸识别技术是快速身份是识别技术中极其重要的一种识别方法,本文研究了结合Fisher准则和主成分分析PCA算法的人脸识别方法,采用基于奇异值分解的特征提取算法,通过计算协方差矩阵的特征值以及特征向量,使用欧式距离判断输入图像与训练图像之间的类似度的方法进行人脸判别分类,识别出匹配图像。

Face recognition technology is a kind of fast identification technology.This paper studies the face recognition method based on Fisher criterion and principal component analysis PCA algorithm. The feature extraction algorithm based on singular value decomposition is used. By calculating the eigenvalues and feature vectors of the covariance matrix, the Euclidean distance is used to judge the input image and the training image.The similarity method between the faces is used to discriminate the face and identify the matching image.