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Comparative Analysis of various Illumination Normalization Techniques for Face Recognition

by Tripti Goel, Vijay Nehra, Virendra P.Vishwakarma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 28 - Number 9
Year of Publication: 2011
Authors: Tripti Goel, Vijay Nehra, Virendra P.Vishwakarma
10.5120/3419-4771

Tripti Goel, Vijay Nehra, Virendra P.Vishwakarma . Comparative Analysis of various Illumination Normalization Techniques for Face Recognition. International Journal of Computer Applications. 28, 9 ( August 2011), 1-7. DOI=10.5120/3419-4771

@article{ 10.5120/3419-4771,
author = { Tripti Goel, Vijay Nehra, Virendra P.Vishwakarma },
title = { Comparative Analysis of various Illumination Normalization Techniques for Face Recognition },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 28 },
number = { 9 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume28/number9/3419-4771/ },
doi = { 10.5120/3419-4771 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:14:17.952468+05:30
%A Tripti Goel
%A Vijay Nehra
%A Virendra P.Vishwakarma
%T Comparative Analysis of various Illumination Normalization Techniques for Face Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 28
%N 9
%P 1-7
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The change in facial appearance due to illumination variation degrades face recognition systems performance considerably. In this paper, various states of art illumination normalization techniques have been explained and compared. The classification of the image recognition has been done using artificial neural networks (ANN). We have compared four illumination normalization methods which are (1) discrete cosine transform (DCT) with rescaling of low frequency coefficients (2) discrete cosine transform (DCT) with discarding of low frequency coefficients (3) homomorphic filtering (HF) (4) gamma intensity correction (GIC). These methods are evaluated and compared on Yale and Yale B Faces databases.

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Index Terms

Computer Science
Information Sciences

Keywords

Discrete cosine transform (DCT) homomorphic filtering (HF) gamma intensity correction (GIC) artificial neural networks (ANN)

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