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Effect of Illumination Variation on Face Detection and Recognition using Skin Color Segmentation and Eigen Faces

Published on August 2016 by Madhavi Chhugani, Buchade P. B.
National Conference on Digital Image and Signal Processing
Foundation of Computer Science USA
NCDISP2016 - Number 1
August 2016
Authors: Madhavi Chhugani, Buchade P. B.
ab96b9e6-af77-47e4-8a89-3f529b3c7cba

Madhavi Chhugani, Buchade P. B. . Effect of Illumination Variation on Face Detection and Recognition using Skin Color Segmentation and Eigen Faces. National Conference on Digital Image and Signal Processing. NCDISP2016, 1 (August 2016), 24-27.

@article{
author = { Madhavi Chhugani, Buchade P. B. },
title = { Effect of Illumination Variation on Face Detection and Recognition using Skin Color Segmentation and Eigen Faces },
journal = { National Conference on Digital Image and Signal Processing },
issue_date = { August 2016 },
volume = { NCDISP2016 },
number = { 1 },
month = { August },
year = { 2016 },
issn = 0975-8887,
pages = { 24-27 },
numpages = 4,
url = { /proceedings/ncdisp2016/number1/25850-1631/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Digital Image and Signal Processing
%A Madhavi Chhugani
%A Buchade P. B.
%T Effect of Illumination Variation on Face Detection and Recognition using Skin Color Segmentation and Eigen Faces
%J National Conference on Digital Image and Signal Processing
%@ 0975-8887
%V NCDISP2016
%N 1
%P 24-27
%D 2016
%I International Journal of Computer Applications
Abstract

Computerized security systems are gaining significant importance from identification and authentication point of view in various areas like entrance control in buildings; access control for computers in general or in the prominent field of criminal investigation. This has resulted in an increased interest in biometric systems which enables automatic, i. e. quick with little or no human intervention, identification and authentication of an individual by physical characteristics. Illumination variation is a known problem in such systems affecting the error rate of the entire system. A GUI (Graphical User Interface) system for face detection and recognition based on Principal Components is designed and the effect of varying surrounding illumination is studied in this paper. The person to be recognized is subjected to different light levels, measured using a standard Light Lux Meter.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Gui (graphical User Interface) Roi (region Of Interest) Principal Component Analysis Eigen Vectors.