It began to rely a lot on face detection and recognition techniques and use them in various
applications in our daily lives, especially in recent years, which motivated companies and …

Performance of the face verification system depends on many conditions. One of the most
problematic is varying illumination condition. Making recognition more reliable under …

Changes in lighting conditions are an important factor for facial recognition applications. The
algorithms used in these applications have various approaches and are directly affected by …

This research proposed a new approach to recognize face image under various lighting
expression. The Proposed method is started by generating of the Left Diagonal Matrix (LDM) …

We present a range of image processing tecimiques as potential pre-processing steps,
which attempt to improve the performance of the eigenface method of face recognition …

When the illumination changes, the appearance of facial images will change dramatically.
Lighting changes make face recognition a very challenging and difficult job. In addition, the …

Light variations from different directions on the face images cause severe performance
degradation in face recognition system. These variations should be nullified or suppressed …

In this work we propose a novel method to extract illumination insensitive features for face
recognition called local centre of mass face (LCMF). In this LCMF approach the gradient …

This paper is an experimental study on the robustness of the eigenfaces method for face
recognition. To build a face recognition system, especially in an unconstrained surveillance …

To obtain the satisfied performance of face recognition under complex illumination, a novel
method named MD-LBP (Multi-Direction Local Binary Pattern) is proposed in this paper …