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Efficient Face Recognition System using Artificial Neural Network

by S.adebayo Daramola, O. Sandra Odeghe
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 21
Year of Publication: 2012
Authors: S.adebayo Daramola, O. Sandra Odeghe
10.5120/5823-8042

S.adebayo Daramola, O. Sandra Odeghe . Efficient Face Recognition System using Artificial Neural Network. International Journal of Computer Applications. 41, 21 ( March 2012), 12-15. DOI=10.5120/5823-8042

@article{ 10.5120/5823-8042,
author = { S.adebayo Daramola, O. Sandra Odeghe },
title = { Efficient Face Recognition System using Artificial Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 21 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 12-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number21/5823-8042/ },
doi = { 10.5120/5823-8042 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:30:16.133196+05:30
%A S.adebayo Daramola
%A O. Sandra Odeghe
%T Efficient Face Recognition System using Artificial Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 21
%P 12-15
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Effective facial feature is needed to build a robust face recognition system capable of suppress the effect of illumination and pose variation. In this paper, a robust face recognition system is proposed. In the proposed system, two level haar wavelet transform is used to decompose frontal face image into seven sub-image bands. Thereafter eigenface feature is extracted from these bands. The feature is used as input to the classification algorithm based on Back Propagation Neural Network (BPNN). The proposed system has been tested using 150 frontal face samples with illumination and pose variation. The results obtained are very encouraging.

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Index Terms

Computer Science
Information Sciences

Keywords

Eigenface Haar Wavelet Transform And Neural Network

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