Advertisement

Pan-Tilt-Zoom Based Iris Image Capturing System for Unconstrained User Environments at a Distance

  • Sowon Yoon
  • Kwanghyuk Bae
  • Kang Ryoung Park
  • Jaihie Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4642)

Abstract

This paper proposes a novel iris image capturing system using a pan-tilt-zoom camera for unconstrained user environments at a distance. To provide wide operating range, we are trying to develop iris image acquisition system using pan-tilt-zoom camera. This paper verifies that iris recognition is possible when iris images are captured with zoom lens at a distance from camera. Iris images are collected by changing the distance from camera to user, zoom factor to maintain face size in an image, and focus lens position. And they are assessed by Hamming distance. Experimental results show that iris images captured at a distance of 1.5–3 m from camera can be verified as genuine and proposed system has 5–10 cm depth of field. This means that users have freedom of position as 1.5 m and natural movement of a standing user can be covered.

Keywords

Iris image capturing system pan-tilt-zoom camera depth of field depth of focus operating range 

References

  1. 1.
    Wayman, J., Jain, A., Maltoni, D., Maio, D. (eds.): Biometric Systems: Technology, Design and Performance Evaluation. Springer, London (2005)Google Scholar
  2. 2.
    Wayman, J.L.: Fundamentals of Biometric Authentication Technologies. International Journal of Image and Graphics 1(1), 93–113 (2001)CrossRefGoogle Scholar
  3. 3.
    Williams, G.O.: Iris Recognition Technology. Aerospace and Electronic Systems Magazine 12(4), 23–29 (1997)CrossRefGoogle Scholar
  4. 4.
    Daugman, J., Downing, C.: Epigenetic Randomness, Complexity and Singularity of Human Iris Patterns. Proceedings of the Royal Society B: Biological Sciences 268(1477), 1737–1740 (2001)CrossRefGoogle Scholar
  5. 5.
    Origin, A.: UK Passport Service Biometrics Enrolment Trial. Report (2005), www.passport.gov.uk/downloads/UKPSBiometrics_Enrolment_Trial_Report.pdf
  6. 6.
    Matey, J.R., Naroditsky, O., Hanna, K., Kolczynski, R., Loiacono, D.J., Mangru, S., Tinker, M., Zappia, T.M., Zhao, W.Y.: Iris on the Move: Acquisition of Images for Iris Recognition in Less Constrained Environments. Proceedings of the IEEE 94(11), 1936–1947 (2006)CrossRefGoogle Scholar
  7. 7.
    Guo, G., Jones, M.J., Beardsley, P.: A System for Automatic Iris Capturing. Mitsubishi Electric Research Laboratories, TR2005-044 (2005), http://www.merl.com/publications/TR2005-044/
  8. 8.
    ANSI INCITS 379-2004 Google Scholar
  9. 9.
    Daugman, J.: Probing the Uniqueness and Randomness of IrisCodes: Results From 200 Billion Iris Pair Comparisons. Proceedings of the IEEE 94(11), 1927–1935 (2006)CrossRefGoogle Scholar
  10. 10.
    Daugman, J.: How Iris Recognition Works. IEEE Transactions on Circuits and Systems for Video Technology 14(1), 21–30 (2004)CrossRefGoogle Scholar
  11. 11.
    Viola, P., Jones, M.J.: Robust Real-Time Face Detection. International Journal of Computer Vision 57(2), 137–154 (2004)CrossRefGoogle Scholar
  12. 12.
    Kang, B.J., Park, K.R.: A Study on Iris Image Restoration. In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 31–40. Springer, Heidelberg (2005)Google Scholar
  13. 13.
    Fancourt, C., Bogoni, L., Hanna, K., Guo, Y., Wildes, R., Takahashi, N., Jain, U.: Iris Recognition at a Distance. In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 1–13. Springer, Heidelberg (2005)Google Scholar
  14. 14.
    Yoon, S., Jung, H.G., Suhr, J.K., Kim, J.: Non-intrusive Iris Image Capturing System Using Light Stripe Projection and Pan-Tilt-Zoom Camera. In: IEEE Computer Society Workshop on Biometrics (accepted for publication, 2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Sowon Yoon
    • 1
  • Kwanghyuk Bae
    • 1
  • Kang Ryoung Park
    • 2
  • Jaihie Kim
    • 1
  1. 1.School of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center (BERC)Republic of Korea
  2. 2.Division of Digital Media Technology, Sangmyung University, Hongji-Dong, Jongro-Ku, Seoul, Republic of Korea, Biometrics Engineering Research Center (BERC) 

Personalised recommendations