Critical Literature Survey on Iris Biometric Recognition

Authors

  • Shailesh Arrawatia  Department of Computer Science & Engineering, APEX Institute of Engineering & Technology, Jaipur, Rajasthan, India
  • Priyanka Mitra  Department of Computer Science & Engineering, Jaipur Engineering College and Research Centre, Jaipur, Rajasthan, India
  • Brij Kishore  Department of Computer Science & Engineering, APEX Institute of Engineering & Technology, Jaipur, Rajasthan, India

Keywords:

Iris Biometric Recognition, Image Acquisition, Localization, Segmentation, Normaiization, Feature Extraction, Template Generation, Pattern Matching.

Abstract

This paper presents the review of iris biometric recognition system which is used for identification and authentication of human being. Iris is internal (externally visible) part of body. Due to the uniqueness and stability of iris it has been considered as more reliable for security system. The iris recognition system composed of procedure of iris recognition system image acquisition, localization, segmentation, normalization, feature extraction, template generation and pattern matching. This paper describes different techniques used in performing the steps involved in iris recognition. Iris recognition technique is quantifiable, durable, and highly reliable so it accomplishes the basic tenant of ideal biometric technology.

References

  1. John Daugman, "How Iris Recognition Works", IEEE Transaction on Circuits and Systems for Video Technology, Vol. 14, No 1, January 2004.
  2. J. G. Daugman, "High Confidence Visual Recognition of Persons by a Test of Statistical Independence," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.15, pp.1148-1161, 1994.
  3. Balas Meriem nafisa, Madani OULD MAAMAR, "Iris Pattern Localization Method”, 15th Workshop on Information Optics (WIO), DOI: 10.1109/WIO.2016.7745566, Publisher: IEEE, July 2016.
  4. M.M.Gifford, D.J. McCartney and C.H.Seal, ”Networked biometrics systems: requirements based on iris recognition”, BT Technol. Journal, Vol. 17,n?2, April 1999.
  5. J. Daugman, "New Methods in Iris Recognition”, IEEE Transactions on Systems, Man and Cybernetics, Vol. 37, No.5, pp. 1167-1175, 2007.
  6. J.Daugman, "High confidence personal identification by rapid video analysis of iris texture”, Proc. Of the IEEE, International conference on security technology, 1992.
  7. W.W.Boles, ”a security system based on human iris identification using wavelet transform”, First international conference on knowledge-based intelligent electronic systems, Adelaide, Australia. Ed, 21-23 may 1997.
  8. R.P.Wildes, J.C. Asmuth, G.L. Green and S.C. Hsu, "A system for automated iris recognition”, IEEE paper, 1994.
  9. R.Sanchez-Reillo, C.Sanchez-Avila and J-A.Martin-Pereda, "minimal template size for iris recognition ",Proc. BMES/EMBS Conf., IEEE Publication, Atlanta, October 1999.
  10. D. Choudhary, S. Tiwari and A.K. Singh, "A Survey: Feature Extraction Methods for Iris Recognition”, International Journal of Electronics Communication and Computer Technology, Vol. 2, Issue 6, pp. 275-279, November 2012.
  11. G. Xu, Z. Zhang and Y. Ma, "Improving The Performance Of Iris Recognition System Using Eyelids And Eyelashes Detection and Iris Image Enhancement”, Proceeding of the IEEE International Conference on Cognitive Informatics, pp.871-876, 2006.
  12. Paulo Eduardo Merlotti, "Experiments on Human Iris Recognition using Error Back-Propagation Artificial Neural Network”, Project Report, san Diego State University, April 2004.
  13. Mr. Babasaheb G. Patil,? Dr. Mrs. Shaila Subbaraman," SVD-EBP Algorithm for Iris Pattern Recognition”? (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 2, No. 12, 2011.
  14. Minh N. Do, Martin Vetterli,” The Contourlet Transform: An Efficient Directional Multiresolution Image Representation” IEEE Transactions on Image Processing Volume: 14, Issue:12, Dec. 2005.
  15. PETER J. BURT, EDWARD H. ADELSON, "The Laplacian Pyramid as a Compact Image Code”, IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. COM-3l, NO. 4, APRIL 1983.
  16. Behrooz Zali-Vargahan, Mehdi Chehel Amirani, Hadi Seyedarabi, "Contourlet Transform for Iris Image Segmentation”,? International Journal of Computer Applications (0975 ? 8887) Volume 60? No.10, December 2012.
  17. Do, M. N., & Vetterli, M. ”Contourlets beyond wavelets”. New York: J. Stoeckler and G.V. Welland, Eds. Academic Press 2003.
  18. Mahesh Patil, Raghuveer K, "SVD and DWT Based Iris Recognition Using Beagleboard-xM”, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.4, pg. 532-540, April- 2015.
  19. Dr. Garcia. E, "Singular Value Decomposition (SVD)- A Fast Track Tutorial”, http:www.misslits.com, 2006.
  20. Sonia Sangwan, Reena Rani, "A Review on: Iris Recognition”, International Journal of Computer Science and Information Technologies, Vol. 6 (4) , 3871-3873, 2015.

International Journal of Scientific Research in Science and Technology

Downloads

Published

2017-08-31

Issue

Volume 3, Issue 6, July-August-2017

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shailesh Arrawatia, Priyanka Mitra, Brij Kishore, " Critical Literature Survey on Iris Biometric Recognition, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 6, pp.600-605, July-August-2017.