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Face Recognition through Combined SVD and LBP Features

by Rahul Kumar Mittal, Anupam Garg
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 88 - Number 9
Year of Publication: 2014
Authors: Rahul Kumar Mittal, Anupam Garg
10.5120/15382-3827

Rahul Kumar Mittal, Anupam Garg . Face Recognition through Combined SVD and LBP Features. International Journal of Computer Applications. 88, 9 ( February 2014), 23-27. DOI=10.5120/15382-3827

@article{ 10.5120/15382-3827,
author = { Rahul Kumar Mittal, Anupam Garg },
title = { Face Recognition through Combined SVD and LBP Features },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 88 },
number = { 9 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 23-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume88/number9/15382-3827/ },
doi = { 10.5120/15382-3827 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:07:11.796207+05:30
%A Rahul Kumar Mittal
%A Anupam Garg
%T Face Recognition through Combined SVD and LBP Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 88
%N 9
%P 23-27
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A number of global and local methods are available for the representation of face images, still no single approach is found to be suitable in most of the situations. As the information conveyed by these two feature sets, is different hence the techniques that combine the global and local features together are necessary to obtain the optimal results. In this paper, we have developed an approach to combine two feature sets obtained from SVD and LBP approaches. SVD approach is able to efficiently represent the global variations of face images whereas the LBP is one of the most useful descriptors to extract the local variation of face images. In order to analyse the effectiveness of the proposed approach obtained by the fusion of SVD and LBP approaches, various experiments have been carried out on ORL and Yale face databases. The proposed approach has also been compared to some existing techniques and from the detailed experiments it has been observed that the results obtained by the proposed method are far better than these approaches.

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Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition Singular Value decomposition (SVD) Local Binary pattern (LBP) Complementary features Global Face Descriptors Local Face Descriptors.

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