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Evaluating the information content of near-infrared iris imagery

Published: 26 October 2011 Publication History

Abstract

The human iris exhibits random and unique textural patterns that allow for identification with high accuracy. These patterns are evident in near-infrared (NIR) imagery, even for very dark irises. The authors investigate the information content of the iris contained in these patterns, and how it affects recognition performance. In this paper, iris templates are created from NIR iris imagery with the Ridge Energy Direction (RED) recognition algorithm, and using common biometric performance metrics we determine which portions of the iris contain the most distinctive information for recognition.

References

[1]
J. Daugman and C. Downing, "Epigenetic randomness, complexity and singularity of human iris patterns", Proc. R. Soc. Lond. B., vol. 268, pp. 1737--1740, 2001.
[2]
J. Daugman, "High Confidence Visual Recognition of Persons by a Test of Statistical Independence", IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 15, No. 11, pp. 1148--1161, 1993.
[3]
R. Ives, R. Broussard, R. Rakvic, and D. Etter, "Iris Recognition using the Ridge Energy Direction (RED) Algorithm," Proceedings of the 42nd Annual Asilomar Conference on Signals, Systems and Computers, pp. 1219--1223, Pacific Grove, CA, Nov. 2008.
[4]
R. P. Broussard and R. W. Ives, "Identifying Discriminatory Information Content within the Iris," Proceedings of the SPIE, Vol. 6944, pp. 69440T-69440T-11 Mar. 2008.
[5]
Monro, D. M., Rakshit, S., and Zhang, D, University of Bath, U. K. Iris Image Database, http://www.bath.ac.uk/elec-eng/pages/sipg/irisweb.
[6]
National Institute of Standards and Technology (NIST) Iris Challenge Evaluation (ICE) Iris Database, http://iris.nist.gov/ice/ICE_Home.htm.
[7]
Higgins, J. Introduction to Modern Nonparametric Statistics, Stamford, CT: Thomson Learning, 2004.

Cited By

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  • (2018)Comparative Study Between Different Rectangle Iris Templates2018 International Conference on Advanced Science and Engineering (ICOASE)10.1109/ICOASE.2018.8548913(7-12)Online publication date: Oct-2018
  • (2015)Corrected unwrapping method based on the tangential and radial distortion centre for the panoramic annular imageIET Image Processing10.1049/iet-ipr.2014.03019:2(127-133)Online publication date: Feb-2015

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cover image ACM Other conferences
ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
October 2011
949 pages
ISBN:9781450309134
DOI:10.1145/2093698
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • Universitat Pompeu Fabra
  • IEEE
  • Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
  • River Publishers: River Publishers
  • CTTC: Technological Center for Telecommunications of Catalonia
  • CTIF: Kyranova Ltd, Center for TeleInFrastruktur

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2011

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Author Tags

  1. Hamming distance
  2. ROC curve
  3. iris recognition
  4. ridge energy direction (RED)

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ISABEL '11
Sponsor:
  • Technical University of Catalonia Spain
  • River Publishers
  • CTTC
  • CTIF

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Cited By

View all
  • (2018)Comparative Study Between Different Rectangle Iris Templates2018 International Conference on Advanced Science and Engineering (ICOASE)10.1109/ICOASE.2018.8548913(7-12)Online publication date: Oct-2018
  • (2015)Corrected unwrapping method based on the tangential and radial distortion centre for the panoramic annular imageIET Image Processing10.1049/iet-ipr.2014.03019:2(127-133)Online publication date: Feb-2015

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