… the Principal Component Analysis (PCA) algorithm was implemented. The algorithm is
based on an eigenfaces approach which represents a PCA method in which a small set of …

… an approach to the detection and identification of human faces and describe a working,
near-real-time face recognition … characteristics of the face to those of known individuals. Our …

… In this paper we make use of PCA dimensionality reduction method. The organization of the
… face recognition. The approach using Eigenfaces and PCA is quite robust in the treatment of …

… In this paper the eigenfaces method is described and then it is demonstrated that the features
vectors obtained from the eigenfaces can easily be used for classification and recognition. …

… with reconstruction of damaged facial images. So in this research, the eigenface method
will carry out performance and analysis tests to recognize facial images taken from public …

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

… So, eigenfaces are having an edge over different available techniques for the same … the
face recognition systems. Basically, the eigenface approach follows dimension reduction method…

… We compare the recognition results using kernel methods with Eigenface methods on
two … results show that Kernel PCA outperforms the Eigenface method in face recognition. …

… face has been found, face recognition is complete. This article will apply the … face recognition
system using the eigenface approach. Eigenface is one of the facial recognition methods …

… This paper proposes an Eigen based face recognition algorithm for recognize an image
from the database. Eigen face has proven to be a useful and robust cue for face recognition, …