TY - GEN
T1 - Illumination normalization for edge-based face recognition using the fusion of RGB normalization and gamma correction
AU - Chude-Olisah, Chollette C.
AU - Sulong, Ghazali
AU - Chude-Okonkwo, Uche A.K.
AU - Hashim, Siti Z.M.
PY - 2013
Y1 - 2013
N2 - In this paper, an illumination normalization technique for edge-based face recognition on face images with non-uniform illumination conditions, is proposed. The proposed illumination normalization technique fuses the merits of color (Red, Green and Blue) normalization (Nrgb) and gamma correction (GC) for color images. By the fusion of these methods the image becomes independent of the change in face images due to illumination direction. In that way, the presence of false edges in gradient faces is reduced. Experimental results on Georgia Tech Face database with illumination problem shows that the proposed technique improved significantly recognition accuracy in comparison to histogram equalization (HE), logarithm transform (LT) and gamma correction (GC).
AB - In this paper, an illumination normalization technique for edge-based face recognition on face images with non-uniform illumination conditions, is proposed. The proposed illumination normalization technique fuses the merits of color (Red, Green and Blue) normalization (Nrgb) and gamma correction (GC) for color images. By the fusion of these methods the image becomes independent of the change in face images due to illumination direction. In that way, the presence of false edges in gradient faces is reduced. Experimental results on Georgia Tech Face database with illumination problem shows that the proposed technique improved significantly recognition accuracy in comparison to histogram equalization (HE), logarithm transform (LT) and gamma correction (GC).
KW - RGB normalization
KW - edge-based face recognition
KW - gamma color correction
KW - illumination normalization
KW - non-uniform illumination
UR - http://www.scopus.com/inward/record.url?scp=84894185936&partnerID=8YFLogxK
U2 - 10.1109/ICSIPA.2013.6708042
DO - 10.1109/ICSIPA.2013.6708042
M3 - Conference contribution
AN - SCOPUS:84894185936
SN - 9781479902675
T3 - IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications
SP - 412
EP - 416
BT - IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications
PB - IEEE Computer Society
T2 - 2013 3rd IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2013
Y2 - 8 October 2013 through 10 October 2013
ER -