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Comparative Analysis of Face Recognition Approaches: A Survey

by Ripal Patel, Nidhi Rathod, Ami Shah
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 57 - Number 17
Year of Publication: 2012
Authors: Ripal Patel, Nidhi Rathod, Ami Shah
10.5120/9210-3756

Ripal Patel, Nidhi Rathod, Ami Shah . Comparative Analysis of Face Recognition Approaches: A Survey. International Journal of Computer Applications. 57, 17 ( November 2012), 50-69. DOI=10.5120/9210-3756

@article{ 10.5120/9210-3756,
author = { Ripal Patel, Nidhi Rathod, Ami Shah },
title = { Comparative Analysis of Face Recognition Approaches: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 57 },
number = { 17 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 50-69 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume57/number17/9210-3756/ },
doi = { 10.5120/9210-3756 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:00:45.784390+05:30
%A Ripal Patel
%A Nidhi Rathod
%A Ami Shah
%T Comparative Analysis of Face Recognition Approaches: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 57
%N 17
%P 50-69
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent days, the need of biometric security system is heightened for providing safety and security against terrorist attacks, robbery, etc. The demand of biometric system has risen due to its strength, efficiency and easy availability. One of the most effective, highly authenticated and easily adaptable biometric security systems is facial feature recognition. This paper has covered almost all the techniques for face recognition approaches. It also covers the relative analysis between all the approaches which are useful in face recognition. Consideration of merits and demerits of all techniques is done and recognition rates of all the techniques are also compared.

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Index Terms

Computer Science
Information Sciences

Keywords

Still Face Recognition Video Face Recognition Biometric System

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