OSA's Digital Library

Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics

| EXPLORING THE INTERFACE OF LIGHT AND BIOMEDICINE

  • Editor: Gregory W. Faris
  • Vol. 3, Iss. 11 — Oct. 22, 2008

Increasing the information acquisition volume in iris recognition systems

D. Shane Barwick  »View Author Affiliations


Applied Optics, Vol. 47, Issue 26, pp. 4684-4691 (2008)
http://dx.doi.org/10.1364/AO.47.004684


View Full Text Article

Enhanced HTML    Acrobat PDF (2055 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

A significant hurdle for the widespread adoption of iris recognition in security applications is that the typically small imaging volume for eye placement results in systems that are not user friendly. Separable cubic phase plates at the lens pupil have been shown to ameliorate this disadvantage by increasing the depth of field. However, these phase masks have limitations on how efficiently they can capture the information-bearing spatial frequencies in iris images. The performance gains in information acquisition that can be achieved by more general, nonseparable phase masks is demonstrated. A detailed design method is presented, and simulations using representative designs allow for performance comparisons.

© 2008 Optical Society of America

OCIS Codes
(100.2980) Image processing : Image enhancement
(100.5010) Image processing : Pattern recognition
(110.4850) Imaging systems : Optical transfer functions
(170.0110) Medical optics and biotechnology : Imaging systems

ToC Category:
Image Processing

History
Original Manuscript: March 26, 2008
Revised Manuscript: June 22, 2008
Manuscript Accepted: July 30, 2008
Published: September 4, 2008

Virtual Issues
Vol. 3, Iss. 11 Virtual Journal for Biomedical Optics

Citation
D. Shane Barwick, "Increasing the information acquisition volume in iris recognition systems," Appl. Opt. 47, 4684-4691 (2008)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=ao-47-26-4684


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. J. G. Daugman, “How iris recognition works,” IEEE Trans. Circuits Syst.Video Technol. 14, 21-30 (2004). [CrossRef]
  2. J. G. Daugman, “High confidence visual recognition of persons by a test of statistical independence,” IEEE Trans. Pattern Anal. Mach. Intell. 15, 1148-1161 (1993). [CrossRef]
  3. J. G. Daugman, “Statistical richness of visual phase information: update on recognizing persons by iris patterns,” Int. J. Comput. Vision 45, 25-38 (2001). [CrossRef]
  4. D. Zhang, Automated Biometrics: Technology and Systems (Kluwer, 2000).
  5. J. R. Mattey, O. Naroditsky, K. Hanna, R. Kolczynski, D. LoIacono, S. Mangru, M. Tinker, T. Zappia, and W. Y. Zhao, “Iris on the move: acquisition of images for iris recognition in less constrained environments,” Proc. IEEE 94, 1936-1947(2006). [CrossRef]
  6. E. Dowski and W. Cathey, “Extended depth of field through wavefront coding,” Appl. Opt. 34, 1859-1866 (1995). [CrossRef] [PubMed]
  7. R. Narayanswamy, G. E. Johnson, P. Silveira, and H. B. Wach, “Extending the imaging volume for biometric iris recognition,” Appl. Opt. 44, 701-712 (2005). [CrossRef] [PubMed]
  8. K. N. Smith, V. P. Pauca, A. Ross, T. Torgersen, and M. C. King, “Extended evaluation of simulated wavefront coding technology in iris recognition,” IEEE Conf. on Biometrics: Theory, Applications and Systems, September 2007.
  9. R. Plemmons, M. Horvath, E. Leonhardt, P. Pauca, S. Prasad, S. Robinson, H. Setty, T. Torgerson, J. van der Gracht, E. Dowski, R. Narayanswamy, and P. E. X. Silveira, “Computational imaging systems for iris recognition,” Proc. SPIE 5559, 346-357 (2004). [CrossRef]
  10. Y. Fan, P. Pauca, R. Plemmons, S. Prasad, T. Torgersen, and J. van der Gracht, “Hamming distance optimized phase masks for iris recognition systems,” Conference on Computational Optical Sensing and Imaging, OSA Technical Digest, 2005.
  11. J. O. Castañeda, L. R. B. Valdos, and E. Montes, “Ambiguity function as a design tool for high focal depth,” Appl. Opt. 27, 790-795 (1988). [CrossRef]
  12. S. Prasad, T. C. Torgersen, V. P. Pauca, R. J. Plemmons, and J. van der Gratch, “Engineering the pupil phase to improve image quality,” Proc. SPIE 5108, 1-12 (2003). [CrossRef]
  13. S. Barwick, “Efficient metric for pupil-phase engineering,” Appl. Opt. 46, 7258-7261 (2007). [CrossRef] [PubMed]
  14. D. Bertsekas, Nonlinear Programming (Athena Scientific, 1999).
  15. J. W. Goodman, Introduction to Fourier Optics (McGraw-Hill, 1968).
  16. L. G. Farkas, Anthropometry of the Head and Face (Raven, 1994).
  17. D. M. Dobeš and L. Machala, “Iris database,” http://www.info.upol.cz/iris/.
  18. The author is preparing a paper with the title “Simple, fast best-fit circular and elliptical iris boundaries from edge maps.”

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited