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Complete Architecture of a Robust System of Face Recognition

by Abdellatif Hajraoui, Mohamed Sabri, Mohamed Fakir
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 1
Year of Publication: 2015
Authors: Abdellatif Hajraoui, Mohamed Sabri, Mohamed Fakir
10.5120/21666-4741

Abdellatif Hajraoui, Mohamed Sabri, Mohamed Fakir . Complete Architecture of a Robust System of Face Recognition. International Journal of Computer Applications. 122, 1 ( July 2015), 26-31. DOI=10.5120/21666-4741

@article{ 10.5120/21666-4741,
author = { Abdellatif Hajraoui, Mohamed Sabri, Mohamed Fakir },
title = { Complete Architecture of a Robust System of Face Recognition },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 1 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 26-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number1/21666-4741/ },
doi = { 10.5120/21666-4741 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:09:27.369971+05:30
%A Abdellatif Hajraoui
%A Mohamed Sabri
%A Mohamed Fakir
%T Complete Architecture of a Robust System of Face Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 1
%P 26-31
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Although human face recognition is a hard topic because of the multitude of parameters involved (e. g. variation in pose, illumination, facial expression, partial occlusions), it is very important to be interested and to invest in it viewed her many fields of application (identity authentication, physical and logical access control, video surveillance, human-machine interface. . . ). The work presented in this paper is in this context. Its objective is the implementation of a complete architecture of a robust face recognition system. In a first time, a new approach has been developed for the detection of faces in a 2D color image. Secondly, is focused on the feature extraction using an original approach which includes the Gabor descriptor and a pose estimator. Finally, to validate this research, the developed system is tested on standard databases: Caltech_Web, AT&T and Color FERET.

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Index Terms

Computer Science
Information Sciences

Keywords

Face recognition face detection Gabor wavelets pose estimator Supports Vectors Machines.

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