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Face Recognition by Radial Basis Function Network (RBFN)

by Mrinal Kanti Dhar, Quazi M. Hasibul Haque, Md. Tanjimuddin
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 78 - Number 3
Year of Publication: 2013
Authors: Mrinal Kanti Dhar, Quazi M. Hasibul Haque, Md. Tanjimuddin
10.5120/13470-1143

Mrinal Kanti Dhar, Quazi M. Hasibul Haque, Md. Tanjimuddin . Face Recognition by Radial Basis Function Network (RBFN). International Journal of Computer Applications. 78, 3 ( September 2013), 21-26. DOI=10.5120/13470-1143

@article{ 10.5120/13470-1143,
author = { Mrinal Kanti Dhar, Quazi M. Hasibul Haque, Md. Tanjimuddin },
title = { Face Recognition by Radial Basis Function Network (RBFN) },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 78 },
number = { 3 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 21-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume78/number3/13470-1143/ },
doi = { 10.5120/13470-1143 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:50:40.173995+05:30
%A Mrinal Kanti Dhar
%A Quazi M. Hasibul Haque
%A Md. Tanjimuddin
%T Face Recognition by Radial Basis Function Network (RBFN)
%J International Journal of Computer Applications
%@ 0975-8887
%V 78
%N 3
%P 21-26
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face recognition technology using Radial Basis Function Network (RBFN) is an attractive solution for the researchers who are working on the field of machine recognition, pattern recognition and computer vision. The key challenge in the face recognition technology is to provide high recognition rate. In this paper, an efficient method has been presented for face recognition using principal component analysis and radial basis function. More specifically, principal component analysis has been used for feature extraction and radial basis function network has been used as a classifier to classify data as well as for recognition process.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Face recognition Principal component analysis Artificial neural network Radial basis function network.

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