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Reseach Article

Adjacency Matrix based Face Recognition Approach

by Harish Rohil, Pankaj Kaushik
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 20
Year of Publication: 2014
Authors: Harish Rohil, Pankaj Kaushik
10.5120/17299-7740

Harish Rohil, Pankaj Kaushik . Adjacency Matrix based Face Recognition Approach. International Journal of Computer Applications. 98, 20 ( July 2014), 22-28. DOI=10.5120/17299-7740

@article{ 10.5120/17299-7740,
author = { Harish Rohil, Pankaj Kaushik },
title = { Adjacency Matrix based Face Recognition Approach },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 20 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 22-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number20/17299-7740/ },
doi = { 10.5120/17299-7740 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:26:42.718574+05:30
%A Harish Rohil
%A Pankaj Kaushik
%T Adjacency Matrix based Face Recognition Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 20
%P 22-28
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Biometric based techniques have emerged as the most promising option for recognizing individuals in recent years, for authenticating people and granting them access. Face recognition provide a biometric based authentication, authorization, surveillance services. Face recognition has gained increasing interest in the recent decade. Over the years there have been several techniques being developed to achieve high success rate of accuracy in the identification and verification of individuals for authentication in security systems. This paper proposes an adjacency matrix based approach for face recognition. The proposed approach was implemented in C and tested for different inputs.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition Adjacency matrix Image Processing Edge Detection.