PCA Algorithm for Efficient Face Recognition System

Abstract: The Security is the main aspect to protect the confidential information from the intruder. The features are initially required for recognize any object. Feature extraction technique is used for extract the face features. Face Recognition is a term to describe the feature selection, detection and image processing to analyze and classification. In the past years, feature selection techniques have been proposed to make the possible for classification using neural network, supervised Learning and Un-supervised learning. In this work, the PCA technique has been proposed and training will be initial points for train the proposed algorithm and this complete work has been chosen for analyze and improve the efficiency of algorithm. The complete steps will be implementing in MATLAB for simulation of work and accuracy will be calculated by providing the different training images to the learning algorithm and then detection of face will be analyzed.

Keywords: Face Recognition, Neural Network, Face Recognition, PCA.