NDLI: A novel algorithm for illumination invariant DCT-based face recognition

Content Provider	IEEE Xplore Digital Library
Author	Shan Du Shehata, M. Badawy, W.
Copyright Year	2012
Description	Author affiliation: IntelliView Technol. Inc., Calgary, AB, Canada (Shan Du; Shehata, M.; Badawy, W.)
Abstract	Varying illumination conditions affect the appearance of face images significantly. Thus, it severely degrades image-based face recognition performance. This paper presents a novel face image pre-processing approach that deals with the illumination problem to make face recognition robust to illumination variations. In the proposed method, logarithm transform is first used to convert a face image into logarithm domain. Then discrete cosine transform (DCT) coefficients of it are modified to remove illumination variations. The reconstructed log image by inverse DCT of the modified coefficients is used for the final recognition. We achieved 100% face recognition rate on Yale face database B. The proposed method requires no assumption on the light source and any prior information on 3-D face geometry.
Sponsorship	IEEE Montreal Sect.
Starting Page	1
Ending Page	4
File Size	1913308
Page Count	4
File Format	PDF
ISBN	9781467314312
ISSN	08407789
e-ISBN	9781467314336
e-ISBN	9781467314329
DOI	10.1109/CCECE.2012.6335026
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-29
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lighting Discrete cosine transforms Face recognition Face Image reconstruction Databases face recognition Discrete cosine transform (DCT) logarithm transform coefficients modification illumination preprocessing
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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