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Face Recognition using Two-dimensional Subspace Analysis and PNN

by Benouis Mohamed, Tlmesani Redwan, Senouci Mohamed
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 6
Year of Publication: 2013
Authors: Benouis Mohamed, Tlmesani Redwan, Senouci Mohamed
10.5120/12495-6019

Benouis Mohamed, Tlmesani Redwan, Senouci Mohamed . Face Recognition using Two-dimensional Subspace Analysis and PNN. International Journal of Computer Applications. 72, 6 ( June 2013), 1-8. DOI=10.5120/12495-6019

@article{ 10.5120/12495-6019,
author = { Benouis Mohamed, Tlmesani Redwan, Senouci Mohamed },
title = { Face Recognition using Two-dimensional Subspace Analysis and PNN },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 6 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number6/12495-6019/ },
doi = { 10.5120/12495-6019 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:37:11.362280+05:30
%A Benouis Mohamed
%A Tlmesani Redwan
%A Senouci Mohamed
%T Face Recognition using Two-dimensional Subspace Analysis and PNN
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 6
%P 1-8
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we present an new approach to face recognition based on the combination of feature extraction methods, such as two-dimensional DWT-2DPCA and DWT-2DLDA, with a probabilistic neural networks. This later is used to classify the features matrix extracts for space data created by Two-dimensional Subspace Analysis . The technique 2D-DWT is used to eliminate the illumination ,noise and redundancy of face in order to reduce calculations of the probabilistic neural network operations ,and improve a face recognition system in accuracy and computation time. The proposed approach is tested on ORL and FEI face databases. Experimental results on this databases demonstrated the effectiveness of the proposed approach for face recognition with high accuracy compared with previous methods. .

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Index Terms

Computer Science
Information Sciences

Keywords

biometric face recognition 2DPCA 2DLDA DWT PNN DCT

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