The purpose of this work is to identify a given face image using main features of face. The dimensionality of face image is reduced by the Principal component analysis (PCA, using eigenfaces method) and the recognition is done by the Back propagation

2DPCA,即二维主成分分析，相对于传统的PCA（主成分分析），2DPCA在对二维图像进行降维时不需要转成一维（向量）-2DPCA, ie two-dimensional principal component analysis, as opposed to the traditional PCA (Principal Component Analysis), 2DPCA in dimensionality reduction of two-dimensional images into one

主成分分析 （ Principal Component Analysis ， PCA ）；特征脸；opencv-Principal component analysis (Principal Component Analysis, PCA) characteristic face opencv

主成分分析：实现对对维数较大的矩阵进行降维处理- principal component analysis