Skip to main content


We describe experiments demonstrating the feasibility of human iris recognition at up to 10 m distance between subject and camera. The iris images of 250 subjects were captured with a telescope and infrared camera, while varying distance, capture angle, environmental lighting, and eyewear. Automatic iris localization and registration algorithms, in conjunction with a local correlation based matcher, were used to obtain a similarity score between gallery and probe images. Both the area under the receiver operating characteristic (ROC) curve and the Fisher Linear Discriminant were used to measure the distance between authentic and imposter distributions. Among variables studied, database wide experiments reveal no performance degradation with distance, and minor performance degradation with, in order of increasing effect, time (one month), capture angle, and eyewear.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others


  1. Wildes, R.: Iris Recognition: An Emerging Biometric Technology. Proc. of the IEEE 85, 1348–1363 (1997)

    Article  Google Scholar 

  2. Ma, L., Tan, T.N., Wang, Y., Zhang, D.: Personal identification based on iris texture analysis. IEEE Trans. on Pattern Analysis and Machine Intelligence 25(12), 1519–1533 (2003)

    Article  Google Scholar 

  3. Mansfield, T., Kelly, G., Chandler, C., Kane, J.: Biometric Product Testing Final Report, Technical Report, Centre for Mathematics and Scientific Computing, National Physics Laboratory, Teddington, Middlesex, UK (2001)

    Google Scholar 

  4. Daugman, J.: How iris recognition works. IEEE Trans. On Circuits and Systems for Video Technology 14(1), 21–30 (2004)

    Article  Google Scholar 

  5. Camus, T., Wildes, R.: Reliable and fast eye finding in close-up images. In: Proc. Int. Conf. on Pattern Recognition, pp. 389–394 (2002)

    Google Scholar 

  6. Bergholm, F.: Edge focusing. IEEE Trans. Pattern Analysis and Machine Intelligence 19, 726–741 (1987)

    Article  Google Scholar 

  7. Bergen, J.R., Anandan, P., Hanna, K., Hingorani, R.: Hierarchical model-based motion estimation. In: Sandini, G. (ed.) ECCV 1992. LNCS, vol. 588, pp. 237–252. Springer, Heidelberg (1992)

    Google Scholar 

  8. Daugman, J., Downing, C.: Epigenetic randomness, complexity, and singularity of human iris patterns. Proceeding of the Royal Society Biological Sciences 268, 1737–1740 (2001)

    Article  Google Scholar 

  9. Doddington, G., Liggett, W., Martin, A., Pryzybocki, Reynolds, D.: Sheep, goats, lambs and wolves: a statistical analysis of speaker performance in the NIST 1998 speaker recognition evaluation. In: Proc. of 5th Int. Conf. of Spoken Language Processing (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations


Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fancourt, C. et al. (2005). Iris Recognition at a Distance. In: Kanade, T., Jain, A., Ratha, N.K. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2005. Lecture Notes in Computer Science, vol 3546. Springer, Berlin, Heidelberg.

Download citation

  • DOI:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27887-0

  • Online ISBN: 978-3-540-31638-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics