ROBUSTNESS OF A FACE-RECOGNITION TECHNIQUE BASED ON SUPPORT VECTOR MACHINES
Abstract
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The ever-increasing requirements of security concerns have placed a greater demand for face recognition surveillance systems. However, most current face recognition techniques are not quite robust with respect to factors such as variable illumination, facial expression and detail, and noise in images. In this paper, we demonstrate that face recognition using support vector machines are sufficiently robust to different kinds of noise, does not require image pre-processing, and can be used with rather low image resolutions.

Authors
Prashanth Harshangi1, Koshy George2
PES Centre for Intelligent Systems, India1, PES Institute of Technology, India2

Keywords
Face Recognition, Support Vector Machines
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Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 1 , Issue: 1 , Pages: 50 - 56 )
Date of Publication :
August 2010
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85
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