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Article:Enhanced Iris Recognition System - an Integrated Approach to Person Identification

by Ms. Gaganpreet Kaur, Mr. Akshay Girdhar, Ms. Manvjeet Kaur
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 8 - Number 1
Year of Publication: 2010
Authors: Ms. Gaganpreet Kaur, Mr. Akshay Girdhar, Ms. Manvjeet Kaur
10.5120/1182-1630

Ms. Gaganpreet Kaur, Mr. Akshay Girdhar, Ms. Manvjeet Kaur . Article:Enhanced Iris Recognition System - an Integrated Approach to Person Identification. International Journal of Computer Applications. 8, 1 ( October 2010), 1-5. DOI=10.5120/1182-1630

@article{ 10.5120/1182-1630,
author = { Ms. Gaganpreet Kaur, Mr. Akshay Girdhar, Ms. Manvjeet Kaur },
title = { Article:Enhanced Iris Recognition System - an Integrated Approach to Person Identification },
journal = { International Journal of Computer Applications },
issue_date = { October 2010 },
volume = { 8 },
number = { 1 },
month = { October },
year = { 2010 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume8/number1/1182-1630/ },
doi = { 10.5120/1182-1630 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:56:24.092756+05:30
%A Ms. Gaganpreet Kaur
%A Mr. Akshay Girdhar
%A Ms. Manvjeet Kaur
%T Article:Enhanced Iris Recognition System - an Integrated Approach to Person Identification
%J International Journal of Computer Applications
%@ 0975-8887
%V 8
%N 1
%P 1-5
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper discusses about Enhanced iris recognition which is used to overcome some of the problem like to automate the recognition of the iris by reducing complexity and increasing algorithm speed. Various challenges are faced while working with the iris recognition system. Iris recognition systems make use of the uniqueness of the iris patterns to derive a unique mapping. Iris recognition, as a biometric method, outperforms others because of its high accuracy. Iris recognition also has the ability to handle very large populations at high speed. Mostly three stages are followed while working with iris system i.e. preprocessing, feature extraction and recognition stage. This paper presents an automated and novel iris recognition system where overall computational match speed is reduced (from iris preprocessing to the final stage of recognition) and hence makes system more reliable with accuracy of 99.38% and low FAR.

References
  1. Bhalchandra, A., Deshpande, N., Pantawane, N. and Kharwandikar, P. (2008), “Iris Recognition”, Proceedings Of World Academy Of Science, Engineering And Technology, Vol. 36, pp. 1073-1078.
  2. Jain, A., Flynn, P. and Ross, A. (2008), “Handbook of Biometrics”, Michigan State University, USA, Flynn University of Notre Dame, USA, West Virginia University, USA, pp. 79-98.
  3. Elsherief, S., Allam, M. and Fakhr, M. (2006), “Biometric Personal Identification Based on Iris Recognition” IEEE, pp. 208-213.
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  5. Ko, J., Gil, Y. and Yoo, J. (2006), “Iris Recognition using Cumulative SUM based Change Analysis”, International Symposium on Intelligent Signal Processing and Communication Systems, Yonago Convention Center, Tottori, Japan, pp. 275-278.
  6. Ma, L., Tan, T., Wang, Y. and Zhang, D. (2003), “Personal Identification Based on Iris Texture Analysis”, IEEE Trans. Pattern Anal. Mach. Intell., Vol. 25 No.12 pp. 1519–1533.
  7. Daugman, J. (2004), “How Iris Recognition Works”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 14, No. 1 pp. 21-30.
  8. Masek, L. (2003), “Recognition of Human Iris Patterns For Biometric identification”, Thesis Report, The University of Western Australia.
  9. Bowyer, K., Hollingsworth, K., and Flynn, P. (2007), “Image Understanding for Iris Biometrics: A survey”, Elsevier, Computer Vision and Image Understanding, pp. 281-307.
  10. Daugman, J. (2007), “New Methods in Iris Recognition”, IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics, Vol. 37, No. 5 pp. 1167-1175.
  11. Wildes, R. (1997), “Iris Recognition, An Emerging. Biometric Technology”, Proceedings of IEEE, Vol. 85, No. 9 pp. 1348–1363.
Index Terms

Computer Science
Information Sciences

Keywords

Biometrics False Accept Rate (FAR) HD (Hamming Distance) CASIA (Chinese Academy of Sciences – Institute of Automation)

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