Face recognition system robust to occlusion

Authors:
Mohit Sharma;Surya Prakash;Phalguni Gupta
Affiliations:
Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India;Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India;Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India
Venue:
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Year:
2011

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Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling

IEEE Transactions on Pattern Analysis and Machine Intelligence

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Abstract

This paper presents an efficient face recognition system which can handle partial occlusion in both training and test image sets. We hybridize Gabor filter with Eigen faces which make use of localization effect of Gabor filter and whole appearance effect of Eigen faces. It has been tested on AR database which contains naturally occluded face images.