NDLI: Illumination normalization for edge-based face recognition using the fusion of RGB normalization and gamma correction

Content Provider	IEEE Xplore Digital Library
Author	Chude-Olisah, C.C. Sulong, G. Chude-Okonkwo, U.A.K. Hashim, S.Z.M.
Copyright Year	2013
Description	Author affiliation: Fac. of Comput., Univ. Teknol. Malaysia (UTM), Skudai, Malaysia (Chude-Olisah, C.C.; Sulong, G.; Hashim, S.Z.M.) \|\| Wireless Commun. Center, Univ. Teknol. Malaysia (UTM), Skudai, Malaysia (Chude-Okonkwo, U.A.K.)
Abstract	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).
Sponsorship	IEEE Malaysia Sect. SP Chapt.
Starting Page	412
Ending Page	416
File Size	1065029
Page Count	5
File Format	PDF
e-ISBN	9781479902699
DOI	10.1109/ICSIPA.2013.6708042
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-08
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Databases Image edge detection Brightness Lighting Gamma color correction Edge-based face recognition Encoding RGB normalization Face Illumination normalization Non-uniform illumination
Content Type	Text
Resource Type	Article

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