CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Comparison of Two Iris Localization Algorithms

by R.b. Dubey, Abhimanyu Madan
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 7
Year of Publication: 2015
Authors: R.b. Dubey, Abhimanyu Madan
10.5120/19197-0821

R.b. Dubey, Abhimanyu Madan . Comparison of Two Iris Localization Algorithms. International Journal of Computer Applications. 109, 7 ( January 2015), 1-8. DOI=10.5120/19197-0821

@article{ 10.5120/19197-0821,
author = { R.b. Dubey, Abhimanyu Madan },
title = { Comparison of Two Iris Localization Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 7 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number7/19197-0821/ },
doi = { 10.5120/19197-0821 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:44:07.636589+05:30
%A R.b. Dubey
%A Abhimanyu Madan
%T Comparison of Two Iris Localization Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 7
%P 1-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Iris recognition is regarded as a most reliable and accurate biometric identification system. Daugman's Integro-differential operator is a linear search method which makes the identification process extremely slow as well as increases the false acceptance rate beyond an acceptable range. The present work uses distance regularized level set evolution (DRLSE) method on CASIA-V3-Interval database and applies a suitable algorithm to detect the iris from an image. The two techniques i. e. , Daugman's Integro-differential operator and DRLSE are compared based on accuracy and time taken to localize the iris.

References
  1. S. Dey, D. Samanta and J. Daugman, "How iris recognition works," IEEE Trans on Circuits and Systems for Video Technology, vol. 14, no. 1, pp. 21– 30, 2004.
  2. Inmaculada Tomeo-Reyes, Judith Liu-Jimenez, Ivan Rubio-Polo, Jorge Redondo-Justo and Raul Sanchez-Reillo," Input images in iris recognition systems: a case study". IEEE SysCon, pp. 501-505, 2011.
  3. S. Dey, and D. Samanta, , " Iris data indexing method using Gabor energy features" IEEE Trans on Information Forensics and Security, vol. 7, no. 4, August 2012.
  4. Sarah E. Baker, Amanda Hentz, Kevin W. Bowyer and Patrick J. Flynn, "Degradation of iris recognition performance due to non-cosmetic prescription contact lenses", computer vision and image understanding, vol. 114, pp. 1030-1044, 2010. .
  5. Zhaofeng He, Tieniu Tan, Zhenan Sun and Xianchao Qiu. "Toward accurate and fast iris segmentation for iris biometrics", IEEE transactions on pattern analysis and machine intelligence, vol. 31, pp. 1670-1684, 2009.
  6. Rajesh Bodade and Dr. Sanjay Talbar, "Dynamic iris localization: A novel approach suitable for Fake Iris Detection", IEEE Conference on ultra-modern telecommunication and workshop, pp. 1-5, 2009.
  7. Milos Stojmenovic, Aleksandar Jevremovic and Amiya Nayak, "Fast iris detection via shape based circularity", IEEE Conference on industrial electronics and applications, pp. 747-752, 2013.
  8. Kaushik Roy, Prabir Bhattacharya and Ching Y. Suen, "Iris segmentation using variational level set method", Optics and laser in engineering, vol. 49, pp. 578-588, 2011.
  9. Abduljalil Radman, Kasmiran Jumari and Nasharuddin Zainal, "Fast and reliable iris segmentation algorithm", IEEE transaction on image processing, vol. 7, pp. 42-49, 2013.
  10. R. P. Ramkumar, and Dr. S. Arumugam. "A novel iris recognition algorithm". IEEE conference on computing communication and networking technologies, pp. 1-6, 2012.
  11. Chung-Chih Tsai, Heng-Yi Lin, Jinshiuh Taur, and Chin-Wang Tao," Iris Recognition Using Possibilistic Fuzzy Matching on Local Features" IEEE transactions on systems, man, and cybernetics, vol. 42,, 2012.
  12. R. B. Dubey, Abhimanyu Madan, "Iris Localization using Daugman's Intero-Differential Operator" International Journal of Computer Applications (0975-8887), vol. 93 no. 3, 2014.
  13. V. Caselles, F. Catte, T. Coll, and F. Dibos, "A geometric model for active contours in image processing," Numer. Math. , vol. 66, no. 1, pp. 1–31, Dec. 1993.
  14. R. Malladi, J. A. Sethian, and B. C. Vemuri, "Shape modeling with front propagation: A level set approach," IEEE Trans. Pattern. Anal. Mach. Intell. , vol. 17, no. 2, pp. 158–175, Feb. 1995.
  15. J. Sethian, Level Set Methods and Fast Marching Methods. Cambridge, U. K. : Cambridge Univ. Press, 1999.
  16. S. Osher and R. Fedkiw, Level Set Methods and Dynamic Implicit Surfaces. New York: Springer-Verlag, 2002.
  17. M. Sussman, P. Smereka, and S. Osher, "A level set approach for computing solutions to incompressible two-phase flow," J. Comput. Phys. , vol. 114, no. 1, pp. 146–159, Sep. 1994.
  18. A. Harjoko, S. Hartati, and H. Dwiyasa, " A Method for Iris Recognition Based on 1D Coiflet Wavelet", World Academy of Science, Engineering and Technology 56, 2009.
  19. R. T. Al-Zubi and D. I. Abu-Al-Nadi, "Automated personal Identification System Based on Human Iris Analysis", Pattern Analysis Application, vol. 10: pp. 147–164, 2007.
  20. L. Berggren, "Iridology: A critical review", ActaOphthalmoligica, vol. 63, pp. 1–8, 1985.
Index Terms

Computer Science
Information Sciences

Keywords

Iris localization Daugman's Integro-differential operator distance regularized level set evolution algorithm.

Powered by PhDFocusTM