Face recognition is one of the most important biometrics in computer vision and it has been
broadly employed in the area such as surveillance, information security, identification, and …

Humans are able to rapidly and accurately recognize familiar faces and identities under
widely varying and difficult viewing conditions, such as illuminations changing, occlusion …

Automatic recognition of people is a challenging problem which has received much attention
during the recent years due to its many applications in different fields such as law …

In today's world face recognition, applications attain great popularity due to best application
of image analysis and availability of feasible technologies. It has a wide scope of …

Face recognition become very interesting topic of research because of lot of unsolved
parameters. From past few decades number of researchers work on the topic to solve the …

Face recognition has received much attention because of its theoretical challenges as well
as applications in user identification, surveillance and human–computer interaction. As a …

Face recognition is one of the most important abilities that we use in our daily lives. There
are several reasons for the growing interest in automated face recognition, including rising …

In this work, we use the PCA based eigenface method to build a face recognition system that
have recognition accuracy more than 97% for the ORL database and 100% for the CMU …

In today's networked world, the necessity of maintaining information safety as well as
preserving the physical property is gradually becoming significant and tedious. As the …

Face recognition is one of the most challenging applications of image analysis and pattern
recognition. Face recognition methods perform well on the images that are collected with …