ABSTRACT
This paper presents an efficient Face Recognition System using Principle Component Analysis and Linear Discriminant Analysis to recognize person and Jacobi Method is used to find Eigen values and Eigen vectors which is very important step for PCA and LDA algorithms. The Face Recognition is the ability to recognize people by their facial characteristics. Face recognition is an interesting computer vision problem with many commercial and law enforcement applications. Mug shot matching, user verification, user access control all become possible if an efficient face recognition system can be built. This Paper concerns face recognition system consisting of image preprocessing to smoothen the image, RGB to Gray conversion, and then recognition. PCA, LDA, ICA are different algorithms that have been used for face recognition system. This paper presents a combination on PCA and LDA to perform Face Recognition to increase the identification rate using the Jacobi method to find Eigen vectors of images. The images in dataset are authorized images and the images to be recognized are unauthorized images. By calculating Euclidian Distance between known images and unknown, images are classified as authorized or unauthorized images.
