CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
Reseach Article

IRIS Recognition System using Neural Network and Genetic Algorithm

by V. Saishanmuga Raja, S. P. Rajagopalan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 20
Year of Publication: 2013
Authors: V. Saishanmuga Raja, S. P. Rajagopalan
10.5120/11699-7431

V. Saishanmuga Raja, S. P. Rajagopalan . IRIS Recognition System using Neural Network and Genetic Algorithm. International Journal of Computer Applications. 68, 20 ( April 2013), 49-53. DOI=10.5120/11699-7431

@article{ 10.5120/11699-7431,
author = { V. Saishanmuga Raja, S. P. Rajagopalan },
title = { IRIS Recognition System using Neural Network and Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 20 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 49-53 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number20/11699-7431/ },
doi = { 10.5120/11699-7431 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:28:27.180193+05:30
%A V. Saishanmuga Raja
%A S. P. Rajagopalan
%T IRIS Recognition System using Neural Network and Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 20
%P 49-53
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, the author proposes a method for personal identification based on iris recognition using Genetic algorithm and Neural Network. The process of iris recognition consists of localization of the iris region and generation of data set of iris images followed by iris pattern recognition. A Neural Network is used to reduce the low recognition rate, low accuracy and increased time of recovery. Here the genetic algorithm is used to optimize the Neural Networks parameters. The simulation results show a good identification rate and reduced training time.

References
  1. Demea S. , "Corelatii intre aspectul irisului si patologia generala" (Correlations between iris aspects and endocrine pathology), PhD Thesis, manuscript sent for publications in Sibiu Medical 2005.
  2. John Daugman, "How Iris Recognition Works", IEEE Transactions on Circuits And Systems For Video Technology, Vol. 14, No. 1, January 2004
  3. Melin P, Castillo O. Hybrid Intelligent Systems for Pattern Recognition. Heidelberg: Springer-Verlag. 2005.
  4. S. Mukerjee, s. Chandha, "A Robust Human Iris Verification Using a Novel Combination of Features" IEEE explore.
  5. J. Daugman, "High confidence visual recognition of persons by a test of statistical independence," IEEE Trans. Pattern Anal. Mach. Intell. , vol. 15, no. 11, pp. 1148–1161, Nov. 1993.
  6. R. Wildes, "Iris recognition: An emerging biometric technology," Proc. IEEE, vol. 85, no. 9, pp. 1348–1363, Sep. 1997.
  7. W. Boles and B. Boashash, "A human identification technique using images of the iris and wavelet transform," IEEE Trans. Signal Process. ,vol. 46, no. 4, pp. 1185–1188, Apr. 1998.
  8. Fallahnezhad M, Moradi MH, Zaferanlouei S. A Hybrid Higher Order Neural Classifier for handling classification problems, Expert Systems with Applications. 2011; 38(1): 386-393.
  9. Sibai FN, Hosani HI, Naqbi RM, Dhanhani S, Shehhi S. Iris recognition using artificial neural networks, Expert Systems with Applications. 2011; 38(5): 5940- 5946.
  10. Wade JJ, McDaid LJ, Santos JA, Sayers HM. SWAT: A spiking neural network training algorithm for classification problems, IEEE Transactions on Neural Networks. 2010; 21(11): 1817-1830.
  11. Zeng J, Liu ZQ. Type-2 fuzzy hidden Markov models to phoneme recognition, Proceedings of the International Conference on Pattern Recognition (ICRP), Cambridge 2004: 192-195.
  12. 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.
  13. P. Kronfeld, "Gross anatomy and embryology of the eye," in The Eye, H. Davson, Ed. London, U. K. : Academic, 1962.
  14. Rahib H. Abiyev, Koray Altunkaya, "Personal Iris Recognition Using Neural Network", International Journal of Security and its Applications Vol. 2, No. 2, April, 2008.
  15. Patricia Melin*, Victor Herrera, Danniela Romero, Fevrier Valdez, Oscar Castillo, "Genetic Optimization of Neural Networks for Person Recognition Based on the Iris", TELKOMNIKA, Vol. 10, No. 2, June 2012, pp. 309~320.
Index Terms

Computer Science
Information Sciences

Keywords

Genetic algorithm Neural Network Iris recognition