Notice of Violation of IEEE Publication Principles: Face recognition using Regularized Linear Discriminant Analysis under occlusions and illumination variations

Notice of Violation of IEEE Publication Principles

"Face Recognition using Regularized Linear Discriminant Analysis under Occlusions and Illumination Variations"
by Ashraf S. Huwedi and Huda M. Selem
in the Proceedings of 2016 4th Int Conf Control Engineering & Information Technology (CEIT-2016) December 2016

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper is a duplication of the original text from the paper cited below. The original text was republished without permission from the author of the original paper.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"Face Recognition under Difficult Lighting Conditions and Occlusions"
by Huda Selem
in Proc 2015 Int Conf Image Processing, Production and Computer Science
(ICIPCS'2015) June 2015


In recent years face recognition has received substantial attention from researchers in biometrics, pattern recognition, and computer vision communities. At least two reasons account for this trend: the first is the wide range of commercial and law enforcement applications, and the second is the availability of feasible technologies in recent years of research. Many existing methods in face recognition area perform well under certain conditions, but still facing challenging with illumination changes and occlusions. This paper attempts to deal with the above challenges by combining robust illumination normalization techniques with powerful feature extraction method.