Skip to main content

On Improvement for Normalizing Iris Region for a Ubiquitous Computing

  • Conference paper
Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3480))

Included in the following conference series:

Abstract

Iris patterns are believed to be an important class of biometrics suitable for subject verification and identification applications. An efficient approach for iris recognition through an iris region normalization is presented in this paper. An efficient iris region normalization consists of a doubly polar coordinate and noise region exclude. From this evaluation, we obtain iris code of small size and very high recognition rate. This effort is intended to enable a human authentication in small embedded systems, such as an integrated circuit card (smart cards).

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 139.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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. Ashbourn, D.M.: Biometrics: Advanced identify verification: The complete guide. Springer, Heidelberg (2000)

    Google Scholar 

  2. Daugman, J.G.: High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. Pattern Analysis and Machine Intelligence 15(11), 1148–1161 (1993)

    Article  Google Scholar 

  3. Daugman, J.G.: Recognizing persons by their iris patterns. Cambridge University, Cambridge (1997)

    Google Scholar 

  4. Wildes, R.P.: Iris recognition: An emerging biometric technology. Proceedings of the IEEE 85(9), 1348–1363 (1997)

    Article  Google Scholar 

  5. Boles, W.W., Boashash, B.: A human identification technique using images of the iris and wavelet transform. IEEE Trans. on Signal Processing 46(4), 1185–1188 (1998)

    Article  Google Scholar 

  6. Young, R.K.: Wavelet and signal processing. Kluwer Academic Publisher, Dordrecht (1992)

    Google Scholar 

  7. Rioul, O., Vetterli, M.: Wavelet and signal processing. IEEE Signal Processing Magazine, 14–38 (October 1981)

    Google Scholar 

  8. Strang, G., Nguyen, T.: Wavelet and filter banks. Wesley-Cambridge Press (1996)

    Google Scholar 

  9. Daugman, J.G.: High confidence recognition of persons by rapid video analysis of iris texture. European Convention on Security and Detection (408) (May 1995)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Joung, B.J., Chung, C.H., Lee, K.S., Yim, W.Y., Lee, S.H. (2005). On Improvement for Normalizing Iris Region for a Ubiquitous Computing. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424758_128

Download citation

  • DOI: https://doi.org/10.1007/11424758_128

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25860-5

  • Online ISBN: 978-3-540-32043-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics