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Robustness of a Face-Recognition Technique Based on Support Vector Machines


Affiliations
1 PES Centre for Intelligent Systems, Bangalore, India
2 Department of Telecommunication Engineering, PES Institute of Technology, Bangalore, India
     

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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.

Keywords

Face Recognition, Support Vector Machines.
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  • Robustness of a Face-Recognition Technique Based on Support Vector Machines

Abstract Views: 230  |  PDF Views: 0

Authors

Prashanth Harshangi
PES Centre for Intelligent Systems, Bangalore, India
Koshy George
Department of Telecommunication Engineering, PES Institute of Technology, Bangalore, India

Abstract


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.

Keywords


Face Recognition, Support Vector Machines.