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Adaptive Face Recognition System from Myanmar NRC Card

International Journal of Computer Applications
© 2011 by IJCA Journal
Number 7 - Article 5
Year of Publication: 2011
Ei Phyo Wai
Myint Myint Sein

Ei Phyo Wai and Myint Myint Sein. Article: Adaptive Face Recognition System from Myanmar NRC Card. International Journal of Computer Applications 26(7):13-17, July 2011. Full text available. BibTeX

	author = {Ei Phyo Wai and Myint Myint Sein},
	title = {Article: Adaptive Face Recognition System from Myanmar NRC Card},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {26},
	number = {7},
	pages = {13-17},
	month = {July},
	note = {Full text available}


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.


  • A. Jain, R. Bolle, S. Pankanti Eds, “BIOMETRIC – Personal Identification in Networked Society”, Kluwer AcademicPublishers, Boston/ Dordrecht/ London, 2007.
  • B. Moghaddam, “Principal manifolds and probabilistic subspaces for facel recognition", IEEE Trans. pattern Anal. Machine Intel., Vol. 24, No. 6, PP. 780-788, 2008.
  • 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.
  • 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.
  • J. Creed, A Abbott, Optimization of Color Conversion for Face Recognition, EURASIP Journal on Applied Signal Processing, 4: 522-529, 2010.
  • 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.
  • M. Turk, A. Pentland, "Eigen faces for face recognition", Journal cognitive neuroscience, Vol. 3, No.1, 2008.
  • 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.
  • 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.
  • S. H Ou, Q. L. Wang, Z. Y. Zhu. The Application and Technology of Digital Image Processing. Beijing: Tsinghua Press, 2010.