Most of the traditional approaches of face recognition techniques use more than one training
sample per person in training stage for feature extraction. In various face recognition …

Face recognition with single training sample has the problem that the sample is single and
face pattern is changeable. The rate of traditional face recognition methods declines …

Security system based on biometrics is becoming more popular everyday as a part of safety
and security measurement against all kind of crimes. Among several kinds of biometric …

Although many of methods have accomplished good success in face recognition systems,
but most of them are unable to achieve recognition by using a single sample per person. In …

In this paper, we propose a dual-stage face recognition method which utilized both holistic
and local features-based recognition algorithms. In the first stage Principal Components …

in face recognition system, many of methods have good results if there were sufficient
number of representative training samples per person. But, few of them give good results if …

Face recognition is a kind of identification and authentication, which mainly use the global-
face feature. Nevertheless, the recognition accuracy rate is still not high enough. This …

This paper presents a robust two-stage face recognition approach that combines the traits of
global features in first stage and the local features in second stage. The global features are …

One of the major problems in face authentication systems is to deal with variations in
illumination. In a realistic scenario, it is very likely that the lighting condition of the probe …

Face recognition has broad excitement in the latest trend in image processing. Face
recognition refers to identify a specific individual in digital image by analyzing and …