Face recognition is a biometric technology with a wide range of potential applications such
as access control, banking, information security, human computer interaction, virtual reality …

This paper mainly addresses the building of face recognition system by using Principal
Component Analysis (PCA). PCA is a statistical approach used for reducing the number of …

Face is considered to be one of the most important visual objects for identification.
Recognition of human face is complex and it converts the face into a mathematical model …

Face recognition is an active subject in the fields of biometrics. Lots of achievements have
been obtained in face recognition. Principal Components Analysis (PCA) is a basic method …

Face recognition systems have been grabbing high attention from commercial market point
of view as well as pattern recognition field. It also stands high in researchers community …

Face recognition has been used in various applications where personal identification is
required. Other methods of person's identification and verification such as iris scan and …

Face Recognition is a field of multidimensional applications. A lot of work has been done,
extensively on the most of details related to face recognition. This idea of face recognition …

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 …

Automated face recognition has become a major field of interest. Face recognition
algorithms are used in a wide range of applications viz., security control, crime investigation …