Call for Paper - May 2021 Edition
IJCA solicits original research papers for the May 2021 Edition. Last date of manuscript submission is April 20, 2021. Read More

Improvement of Performance Evaluation for Iris Pattern Recognition

International Journal of Computer Applications
© 2011 by IJCA Journal
Volume 34 - Number 6
Year of Publication: 2011
Emmanvel Raj.M.Chirchi

Emmanvel Raj.M.Chirchi and Dr.R.D.Kharadkar. Article: Improvement of Performance Evaluation for Iris Pattern Recognition. International Journal of Computer Applications 34(6):7-11, November 2011. Full text available. BibTeX

	author = {Emmanvel Raj.M.Chirchi and Dr.R.D.Kharadkar},
	title = {Article: Improvement of Performance Evaluation for Iris Pattern Recognition},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {34},
	number = {6},
	pages = {7-11},
	month = {November},
	note = {Full text available}


In this paper, we describe the performance improvement by reducing FAR and FRR for quality of the algorithm, as the performance evaluation is very important for fast iris identification if the image is occluded or covered by eyelid and very little iris image is retrieve or noisy image, though our algorithm works very efficiently for correct identification of person as it is important for the security system. We use CASIAv3 and UBIRISv1 database.


  • R.P. Wilde, “Iris recognition: An Emerging Biometric Technology Proc. IEEE, Vol.85, no.9, pp. 1348-1363, 1997.
  • W. Boles and B. Boashash,” A Human Identification Technique using images of the Iris and Wavelet Transform “, IEEE Trans. signal processing, vol. 46, no.4,pp.1185-1188,1998.
  • C. H. Daouk, L. A. El-Esber, F. D. Kammoun and M. A. Al Alaoui.,” Iris Recognition”, IEEE ISSPIT 2002, Marrakesh- page 558.
  • T.Mansfield and G.Kelly,D.Chandler, and J.Kane,“Biometric product testing final report”,center for mathematics and scientific computing, national physics laboratory, Middlesex, UK, March 2001.
  • F.A.Bouchier, J.S.Athens, and G.Wells. “Laboratory evaluation of the iriscan prototype biometric identifier. Technical report SAND96-1033 RS-8232-2/960378”, sandia National Laboratories, Albuquerque, NM, April 1996.
  • Jong-Gook Ko , Yeon-Hee Gil and Jang-Hee Yoo, “Iris Recognition using Cumulative SUM based Change Analysis”,ISPAC,IEEE,2006.
  • YA-PING HUANG, SI-WEILUO, EN-YICHEN, ”An Efficient iris recognition system”, proceeding of the first international conference on machine learning and cybernetics, Beijing 4-5 November 2002.
  • Christel-loïc TISSE1, Lionel MARTIN1, Lionel TORRES 2, Michel ROBERT “Person identification technique using human iris recognition”.
  • A.Poursaberi and B.N.Araabi, “iris recognition or partially occluded images: methodology and sensitivity Analysis” Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007, Article ID 36751, 12 pages…
  • Proença, H. and Alexandre,”{UBIRIS}: A noisy iris image database”,13th International Conference on Image Analysis and Processing - ICIAP 2005, Springer , LNCS 3617 pages 970-977, Cagliari, Italy September 2005.
  • John Daugman. “Recognizing persons by their iris patterns “Cambridge University, Cambridge, UK.
  • Ruud M. Bolle, jonathan H. Connell, Sharath Pankanti, Nalini K. Ratha, Andrew W. Senior, “Guide to Biometrics”, Springer International edition.
  • John Daugman,” How Iris recognition works”, IEEE transactions on circuits and systems for video technology, vol. 14, no. 1, January 2004
  • Jafar M. H. Ali, Aboul Ella Hassanien,” An Iris Recognition System to Enhance E-security Environment Based on Wavelet Theory”, AMO - Advanced Modeling and Optimization, Volume 5, Number 2, 2003.
  • Y. Zhu, T. Tan, and Y. Wang, Biometric Personal Identification Based on Handwriting Proc. 15th Int'l Conf. Pattern Recognition, pp. 801-804, 2000