The appearance of a face image is severely affected by illumination conditions that hinder
the automatic face recognition process. To recognize faces under varying illuminations, we …

In this paper, a hybrid framework is proposed to improve the performance of face recognition
by combining global descriptors and local appearance descriptors and proved that their …

This work presents a robust face recognition method, which can work even when an
insufficient number of images are registered for each person. The method is composed of …

This paper proposes a fast and efficient approach for face recognition under non uniform
illumination variations. Robust Haar classifiers technique is used for face detection from an …

In modern years, face recognition is becoming popular in many applications in different
areas being video conferencing, security, banking, law requirement, and human-computer …

This paper has proposed an efficient shaded-face pre-processing technique using front-face
symmetry. The existing face recognition PCA technique has a shortcoming of making …

Lighting variation is a specific and difficult case of face recognition. A good combination of
an illumination preprocessing method and a local descriptor, face recognition system can …

Digital images have become prevalent, through the spread of surveillance cameras, smart
phones, and digital cameras. Economical data storage has led to enormous online …

Evaluations of the state-of-the-art of both academic face recognition algorithms and
commercial systems have shown that performance of most current technologies degrades …

An efficient method for face recognition which is robust under illumination variations is
proposed. The proposed method achieves the illumination invariants based on the …