Face Recognition using Eigenface
Raju Manjhi, Syed Jaffar Abbas, Amrita Priyam · 2013
Abstract — Face recognition security systems have become important for many applications such as automatic access control and video capturing. Most of the face recognition Eigenspace systems today require proper frontal views of a person, and these systems will fail if the person to be recognized does not face the camera correctly. In this paper, we find the face capturing and storing the database. Our recognition system is insensitive to viewing directions and it requires only one sample view per person. The proposed approach utilizes the similarities of a face image against a set of faces from a training set at the same view to establish style and recognition invariant representations of a person in different poses. In this paper we store the no of face recognition through Eigenspace-based. In this paper to store the image database and match proper face.