An advance approach Of PCA for gender recognition

This paper focuses on mathematical rigor to provide explicit solution for gender recognition by extracting feature vector. This paper implement face recognition system using Principal Component Analysis (PCA) algorithm. In addition by using face-rec database we will use kernel SVM to find k Eigen for which error of classification is smallest then project data points along these vector to reduce dimensionality.