… activity, face recognition is a … of face recognition which is fast, reasonably simple, and
accurate in constrained environments such as an office or a household. Although face recognition …

… In this paper the eigenfaces method is described and then it is demonstrated that the … for
face recognition. The approach using Eigenfaces and PCA is quite robust in the treatment of …

… a PCA-based face recognition system implemented using the concept of neural networks.
This system has three stages, viz. pre processing, PCA and face recognition. The first stage, …

… of the ensemble of faces. Later, Turk and Pentland [7] proposed a face recognition method
based on the eigenfaces approach. An unsupervised pattern recognition scheme is proposed …

… by comparing its position in face space with the position of known … idea of Eigenface
approach for human face recognition. Section 3 has brief description of steps involved in Eigenface …

… a face recognizing process based on the PCA-eigenface method is then carried out to
measure the accuracy of recognition. The entire research process is carried out using Matlab …

… , this reduction in dimensionality makes the problem of face recognition much simpler since
we concern ourselves only with the relevant and most discriminatory attributes of the face. …

… of possible faces of human beings.Most of the previous methods were mainly focused on
frontal face images or single-view-based face recognition. However, identifying face in different …

… in the context of face recognition. In contrast to HOS, Kernel … the recognition results using
kernel methods with Eigenface … PCA outperforms the Eigenface method in face recognition. …

… In this way Face Recognition is carried out using Eigenface … for the facial recognition using
eigenfaces is basically … set are transformed into a set of eigenfaces E. Afterwards; the weights …