… perform image recognition tasks [36–38] and in this work, we use the Eigenfaces method to
… While working on image recognition the eigenvectors are called Eigenfaces and on its part, …

… the problems in face recognition associated with illumination changes … We compare the
recognition performances of eigenface, … that our approach has the best recognition performance. …

… eigenface” is the vector obtained by averaging over all original faces, and the other eigenfaces
… a linear combination of the remaining M eigenfaces. PCA guarantees that for the original …

… into the eigenface space, and performed eigenface space super-… recognition experiment in
this case provided a recognition … high-resolution video sequence to perform recognition. The …

This paper provides a comprehensive comparative analysis of the performance of locality
preserving projections (LPPs)‐based Laplacianfaces, which is a recently introduced algorithm …

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

… In Section VI, we address the common challenges associated with Eigenface-based face
recognition, fostering a critical understanding of the technique’s strengths and weaknesses. …

… This study presents a face recognition method based on the stereo matching and eigenface
… The proposed method aims to improve the performance of the 2D eigenface system by …

… this paper eigenface based face recognition has been described. The eigenface approach
for face recognition … It is one of the best practical solutions for the problem of face recognition. …

… recognition systems. At the same time, there is a lack of literature studies which are related to
face recognition systems based on EigenFaces … to Eigenfaces and PCA for face recognition …