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Adaptive Face Recognition System from Myanmar NRC Card

by Ei Phyo Wai, Myint Myint Sein
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 26 - Number 7
Year of Publication: 2011
Authors: Ei Phyo Wai, Myint Myint Sein
10.5120/3117-4285

Ei Phyo Wai, Myint Myint Sein . Adaptive Face Recognition System from Myanmar NRC Card. International Journal of Computer Applications. 26, 7 ( July 2011), 13-17. DOI=10.5120/3117-4285

@article{ 10.5120/3117-4285,
author = { Ei Phyo Wai, Myint Myint Sein },
title = { Adaptive Face Recognition System from Myanmar NRC Card },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 26 },
number = { 7 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume26/number7/3117-4285/ },
doi = { 10.5120/3117-4285 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:12:09.190024+05:30
%A Ei Phyo Wai
%A Myint Myint Sein
%T Adaptive Face Recognition System from Myanmar NRC Card
%J International Journal of Computer Applications
%@ 0975-8887
%V 26
%N 7
%P 13-17
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Biometrics is used for human recognition which consists of identification and verification. Identification applications are common when the goal is to identify criminals, terrorists, or other particularly through surveillance. Also, faces are integral to human interaction. Manual facial recognition is already used in everyday authentication applications. This paper focused on identification of personal information from National Registration Card and providing the information of NRC holder. Therefore there is no such face recognition system from low quality image of NRC card. Experimental results show a high recognition rate equal to 99.8% which demonstrated an improvement in comparison with previous methods using PCA.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition Eigenfaces Eigenvalues

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