Face recognition is one of the major challenge and is the most popular research areas in the computer vision. The research is focused to develop the computational model of face recognition that is fast, simple and accurate in different environments. In this study, we develop an improved recognition strategy based computational model to identify the face of an unknown person. The proposed comput...

In this paper we have developed a bespoke approach to face recognition with Eigenfaces using principal component analysis. We have focused on the effects of taking the number of significant eigenfaces. Eigenfaces approach is a principal component analysis method, in which a small set of characteristic pictures are used to describe the variation between face images. Experimental results using MA...

It has been over a decade since the “Eigenfaces” approach to automatic face recognition, and other appearancebased methods, made an impression on the computer vision research community and helped spur interest in vision systems being used to support biometrics and human-computer interface. In this paper I give a personal view of the original motivation for the work, some of the strengths and li...

In this article, a face recognition system using 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 significant features are used to describe the variation between face images. Experimental results for different numbers of eigenfaces are shown to verify the viability of the prop...

Face recognition is an active area of research since 1980s. It is one of the most successful and important applications of image analysis and processing. Eigenface approach is one of the earliest appearance-based face recognition methods, which was developed by M. Turk and A. Pentland in 1991 [1]. This method utilizes the idea of the Principal Component Analysis (PCA) which decomposes a face im...

Automated face recognition has a long history within the field of computer vision, and there have been several different classes of approaches to the problem. It has been about fifteen years since the “Eigenfaces” method first made an impression on the computer vision research community and helped spur interest in appearance-based recognition, biometrics and vision-based humancomputer interface...