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Reseach Article

Review of Face Recognition Techniques

by Kamini Solanki, Prashant Pittalia
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 133 - Number 12
Year of Publication: 2016
Authors: Kamini Solanki, Prashant Pittalia
10.5120/ijca2016907994

Kamini Solanki, Prashant Pittalia . Review of Face Recognition Techniques. International Journal of Computer Applications. 133, 12 ( January 2016), 20-24. DOI=10.5120/ijca2016907994

@article{ 10.5120/ijca2016907994,
author = { Kamini Solanki, Prashant Pittalia },
title = { Review of Face Recognition Techniques },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 133 },
number = { 12 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 20-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume133/number12/23837-2016907994/ },
doi = { 10.5120/ijca2016907994 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:30:58.835567+05:30
%A Kamini Solanki
%A Prashant Pittalia
%T Review of Face Recognition Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 133
%N 12
%P 20-24
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face Recognition is used for real time application. So reliability is the more important matter for security. Facial Recognition is rapidly becoming area of interest. Face biometrics is useful for authentication that recognizes face. This paper represents review of face recognition methods and discusses their advantages and disadvantages. The purpose of this paper is to provide a survey of face recognition methods that appeared in the literature over the past decade which was not discussed in the previous survey and also categorize them into meaningful approaches.

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Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition Knowledge-based Feature-invariant Template matching Appearance-based PCA LDA