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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
  1. A. Jain, R. Bolle, S. Pankanti Eds, “BIOMETRIC – Personal Identification in Networked Society”, Kluwer AcademicPublishers, Boston/ Dordrecht/ London, 2007.
  2. B. Moghaddam, “Principal manifolds and probabilistic subspaces for facel recognition", IEEE Trans. pattern Anal. Machine Intel., Vol. 24, No. 6, PP. 780-788, 2008.
  3. D.L. Swets and J.J. Weng , “Using Discriminant Eigen features for image retrieval”, IEEE Trans. Pattern Anal. Machine Intel, vol. 18, PP. 831-836, Aug. 2009.
  4. H. Othman, T. Aboulnasr, " A separable low complexity 2DHMM with application to face recognition" IEEE Trans. Pattern. Anal. Machie Inell., Vol. 25, No. 10, PP. 1229-1238, 2008.
  5. J. Creed, A Abbott, Optimization of Color Conversion for Face Recognition, EURASIP Journal on Applied Signal Processing, 4: 522-529, 2010.
  6. J. R. Solar, P. Navarreto, " Eigen space-based face recognition: a comparative study of different approaches, IEEE Tran. , Systems man And Cybernetics- part c: Applications, Vol. 35, No. 3, 2005.
  7. M. Turk, A. Pentland, "Eigen faces for face recognition", Journal cognitive neuroscience, Vol. 3, No.1, 2008.
  8. O.Deniz, M. Castrill_on, M. Hern_andez, “Face recognition using independent component analysis and support vector machines” , Pattern Recognition letters, Vol. 24, PP. 2153-2157, 2010.
  9. P.N. Belhumeur, J.P. Hespanha, and D. J. Kriegman, “Eigenfaces vs. Fisher faces: Recognition using class specific linear projection”, IEEE Trans. Pattern Anal. Machine Intel., vol. 19, PP. 711-720, may 2008.
  10. S. H Ou, Q. L. Wang, Z. Y. Zhu. The Application and Technology of Digital Image Processing. Beijing: Tsinghua Press, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition Eigenfaces Eigenvalues

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