OSA's Digital Library

Applied Optics

Applied Optics


  • Vol. 44, Iss. 5 — Feb. 10, 2005
  • pp: 713–734

New automated iris image acquisition method

Kang Ryoung Park  »View Author Affiliations

Applied Optics, Vol. 44, Issue 5, pp. 713-734 (2005)

View Full Text Article

Acrobat PDF (3500 KB)

Browse Journals / Lookup Meetings

Browse by Journal and Year


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools



I propose a new iris image acquisition method based on wide- and narrow-view iris cameras. The narrow-view camera has the functionalities of automatic zooming, focusing, panning, and tilting based on the two-dimensional and three-dimensional eye positions detected from the wide- and narrow-view stereo cameras. By using the wide- and narrow-view iris cameras, I compute the user's gaze position, which is used for aligning the X-Y position of the user's eye, and I use the visible-light illuminator for fake-eye detection.

© 2005 Optical Society of America

OCIS Codes
(110.0110) Imaging systems : Imaging systems
(110.2970) Imaging systems : Image detection systems

Kang Ryoung Park, "New automated iris image acquisition method," Appl. Opt. 44, 713-734 (2005)

Sort:  Author  |  Year  |  Journal  |  Reset


  1. J. G. Daugman, "High confidence visual recognition of persons by a test of statistical independence," IEEE Trans. Pattern Anal. Mach. Intell.  15, 1148-1160 (1993).
  2. J. Ernst, "The iris recognition homepage-iris recognition and identification," 2 December 2002, retrieved 6 October 2004, http://www.iris-recognition.org.
  3. J. Katz, C. Medich, G. Lisimaque, G. Pauzie, C. Kulhanek, J. Pilozzi, M. McGovern, M. Squibbs, and J. McKoen, "Smart cards and biometrics in privacy-sensitive secure personal identification systems," (white paper, Smart Card Alliance, Princeton Junction, N.J., 2002).
  4. A. K. Jain, Biometrics: Personal Identification in Networked Society (Kluwer Academic, Dordrecht, The Netherlands, 1998).
  5. T. Mansfield, G. Kelly, D. Chandler, and J. Kane, "Biometric product testing final report," Draft 0.6 (National Physical Laboratory, Teddington, Middlesex, UK, 2001).
  6. "LG Electronics/Iris Technology Division," (LG Electronics, Jamesburg, N.J.); retrieved 6 October 2004, http://www.lgiris.com.
  7. "Iridian Technologies," (Moorestown, N.J.); retrieved 6 October 2004, http://www.iridiantech.com/products.php?page=4.
  8. "Panasonic ideas for life," Matsushita Electric Corporation of America, Secaucus, N.J.); retrieved 6 October 2004, http://www.panasonic.com/cctv/products/biometrics.asp.
  9. J.-H. Lee, K.-S. Kim, B.-D. Nam, J.-C. Lee, Y.-M. Kwon, and H.-G. Kim, "Implementation of a passive automatic focusing algorithm for digital still camera," IEEE Trans. Consumer Electron.  41, 449-454 (1995).
  10. H. Toyoda, S. Nishikawa, Y. Kitamura, M. Onishi, and H. Harada, "New Automatic Focusing System for Video Camera," IEEE Trans. Consum Electron.  CE-32, 312-319 (1986).
  11. T. Haruki and K. Kikuchi, "Video camera system using fuzzy logic," IEEE Trans. Consum. Electron.  38, 624-634 (1992).
  12. K. Ooi, K. Izumi, M. Nozaki, and I. Takeda, "An advanced auto-focusing system for video camera using quasi condition reasoning," IEEE Trans. Consum. Electron.  36, 526-529 (1990).
  13. K. Hanma, M. Masuda, H. Nabeyama, and Y. Saito, "Novel technologies for automatic focusing and white balancing of solid state color video camera," IEEE Trans. Consum. Electron.  CE-29, 376-381 (1983).
  14. R. A. Jarvis, "Focus optimization criteria for computer image processing," Microscope  24, 163-180 (1976).
  15. S. K. Nayar and Y. Nakagawa, "Shape from focus," IEEE Trans. Pattern Anal. Mach. Intell.  16, 824-831 (1994).
  16. K.-S. Choi, J.-S. Lee, and S.-J. Ko, "New auto-focusing technique using the frequency selective weight median filter for video cameras," IEEE Trans. Consum. Electron.  45, 820-827 (1999).
  17. K. Jack, Video Demystified-A Handbook for the Digital Engineer, 2nd ed. (LLH Technology, Eagle Rock, Va., 1996).
  18. Y. Park, H. Yun, M. Song, and J. Kim, "A fast circular edge detector for the iris region segmentation," in Lecture Notes in Computer Science, S.-W. Lee, H. H. Bülthoff, and T. Poggio, eds. (Springer-Verlag, Heidelberg, 2000), Vol.  1811, pp. 417-423.
  19. K. R. Park, "Facial and eye gaze detection," in Lecture Notes in Computer Science (Springer-Verlag, Heidelberg, 2002), Vol.  2525, pp. 368-376.
  20. R. C. Gonzalez and R. E. Woods, Digital Image Processing (Addison-Wesley, Boston, Mass., 1992).
  21. K. R. Park and J. Kim, "Gaze point detection by computing the 3D positions and 3D motions of face," IEICE Trans. Inf. Syst.  E83-D, 884-894 (2000).
  22. K. R. Park, "Gaze detection by estimating the depth and 3D motions of facial features in monocular images," IEICE Trans. Fundam.  E82-A, 2274-2284 (1999).
  23. S. C. Chapra and Raymond P. Canale, Numerical Methods for Engineers (McGraw-Hill, Columbus, Ohio, 1989).
  24. Polhemus, 40 Hercules Drive, P.O. Box 560, Colchester, Vt. 05446, retrieved 6 October 2004, http://www.polhemus.com.
  25. R. Jain, Machine Vision (McGraw-Hill, Columbus, Ohio, 1995).
  26. A. N. Rajagopalan and S. Chaudhuri, "MRF model-based identification of shift-variant point spread function for a class of imaging systems," Signal Process.  76, 285-299 (1999).
  27. H. J. Trussell and A. E. Savakis, "Blur identification by statistical analysis," IEEE Trans. Acoust. Speech Signal Process.  4, 2493-2496 (1991).
  28. M. K. Ozkan, A. M. Tekalp, and M. I. Sezan, "POCS-based restoration of space-varying blurred images," IEEE Trans. Image Process.  3, 450-454 (1994).
  29. D. Kundur and D. Hatzinakos, "Blind image deconvolution," IEEE Signal Process. Mag.  13, 43-64 (1996).
  30. A. E. Savakis, "Blur identification by residual spectral matching," IEEE Trans. Image Process.  2, 141-151 (1993).
  31. M. Suzaki, S.-I. Horikawa, Y. Kuno, H. Aida, N. Sasaki, and R. Kusunose, "Racehorse identification system using iris recognition," IEICE Trans. Inf. Syst.  J84-D2, 1061-1072 (2001).
  32. M. Suzaki and Y. Kuno, "Eye image recognition method eye image selection method and system therefor," U.S. patent 6,215,891 (10 April 2001).
  33. M. Suzaki, "Eye image recognition method eye image selection method and system therefor," U.S. patent 6,307,954 (23 October 2001).
  34. D. Ioammou, W. Huda, and A. F. Laine, "Circle recognition through a 2D Hough transform and radius histogramming," Image Vision Comput.  17, 15-26 (1999).
  35. R. W. Smith, "Body check - biometric access protection devices and their programs put to the test," (Heise Online, November 2002), retrieved 6 October 2004, http://www.heise.de/ct/english/02/11/114/.

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