Face biometric has received more attention to recognize a person in a right way. However,
the face recognition is considered to be hard due to size, ethnicity, illumination, pose …

Face recognition is a challenging and one of the most active area of research in computer
vision. Variations in face image due to change in illumination, expression and presence of …

Face recognition is a well-researched domain however many issues for instance expression
changes, illumination variations, and presence of occlusion in the face images seriously …

The performance of the face recognition systems is vulnerable to occlusion, light and
expression changes and such constraints need to be handled effectively in a robust face …

Weighted score fusion is a widely used score fusion scheme, but the weights need to be set
manually. The results generally vary greatly when the weights are different, so it is difficult to …

Face recognition (FR) is a hotspot in pattern recognition and image processing for its wide
applications in real life. One of the most challenging problems in FR is single sample face …

Recently, several studies have shown that linear representation based approaches are very
effective and efficient for image classification. One of these linear-representation-based …

This paper proposes a novel dual gradient feature pair (DGFP) based face recognition
system that is robust against pose and age variation. This DGFP method, initially segments …