Employing Fuzzy-Histogram Equalization to Combat Illumination Invariance in Face Recognition Systems
Adebayo Kolawole John, Onifade Olufade Williams · International Journal of Intelligent Systems and Applications · 2012
with the recent surge in acceptance of face recognition systems, more and mo re work is needed to perfect the existing grey areas.A major concern is the issue of illu mination intensities in the images used as probe and images trained in the database.This paper presents the adoption and use of fuzzy h istogram equalization in co mbating illu mination variations in face recognition systems.The face recognition algorith m used is Principal Co mponent Analysis, PCA.Histogram equalization was enhanced using some fu zzy rules in order to get an efficient light normalizat ion.The algorith ms were imp lemented and tested exhaustively with and without the application of fuzzy histogram equalization to test our approach.A good and considerable result was achieved.