A Comparison of Principal Component Analysis and Generalized Hebbian Algorithm for Image Compression and Face Recognition

In this paper we perform image compression and face recognition using principal component analysis (PCA) and the generalized Hebbian algorithm (GHA) which is one of the PCA techniques involving neural network. By implementing the PCA and GHA algorithms for image compression we found that PCA gives better compression ratio to the image than GHA and as for face recognition we found that GHA gives more recognition rate than PCA