Skip to main content

Iris Recognition with Adaptive Coding

  • Conference paper
Rough Sets and Knowledge Technology (RSKT 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4481))

Included in the following conference series:

Abstract

The paper proposes a new iris coding method based on Zak-Gabor wavelet packets. Details of the Zak-Gabor-based coding are presented in the paper, and the method of adaptation the transformation parameters is described. The methodology may be of particular help in development mobile iris systems, where the iris capture devices may present a limited quality. The method was evaluated and presents very favorable results.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. American National Standards Institute: Information technology — Biometric data interchange formats — Part 6: Iris image data. ISO/IEC 19794-6:2005. ANSI (2005)

    Google Scholar 

  2. Daugman, J.: How iris recognition works. IEEE Transactions on circuits and systems for video technology 14(1) (2004)

    Google Scholar 

  3. Bastiaans, M.J.: Gabor’s expansion and the zak transform for continuous-time and discrete-time signals. In: Zeevi, J., Coifman, R. (eds.) Signal and Image Representation in Combined Spaces, pp. 1–43. Academic Press, London (1995)

    Google Scholar 

  4. Pacut, A., Czajka, A., Strzelczyk, P.: Iris biometrics for secure remote access. In: Kowalik, J.S. (ed.) Cyberspace Security and Defense: Research Issues, pp. 259–278. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  5. Pacut, A., Czajka, A.: Aliveness detection for iris biometrics. In: IEEE International Carnahan Conference on Security Technology, 40th Annual Conference, Lexington, Kentucky, USA, October 17-19, 2006, pp. 122–129. IEEE Computer Society Press, Los Alamitos (2006)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

JingTao Yao Pawan Lingras Wei-Zhi Wu Marcin Szczuka Nick J. Cercone Dominik Ślȩzak

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Berlin Heidelberg

About this paper

Cite this paper

Czajka, A., Pacut, A. (2007). Iris Recognition with Adaptive Coding. In: Yao, J., Lingras, P., Wu, WZ., Szczuka, M., Cercone, N.J., Ślȩzak, D. (eds) Rough Sets and Knowledge Technology. RSKT 2007. Lecture Notes in Computer Science(), vol 4481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72458-2_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-72458-2_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72457-5

  • Online ISBN: 978-3-540-72458-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics