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Iris Recognition

  • Ryszard S. Choraś
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 57)

Summary

In this paper, we presented an iris recognition algorithm based on ROI iris image, Gabor filters and texture features based on the Haralick’s approach. The proposed system includes three modules: image preprocessing, feature extraction, and recognition modules.

Keywords

Iris Image Wavelet Frame Iris Feature Gabor Feature Iris Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Boles, W.W., Boashash, B.: A human identification technique using images of the iris and wavelet transform. IEEE Transactions on Signal Processing 46(4), 1185–1188 (1998)CrossRefGoogle Scholar
  2. 2.
    Daugman, J.G.: High confidence visual recognition of persons by a test of statistical independence. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(11), 1148–1161 (1993)CrossRefGoogle Scholar
  3. 3.
    Daugman, J.G.: Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression. IEEE Trans. Acoust., Speech, Signal Processing 36, 1169–1179 (1988)CrossRefzbMATHGoogle Scholar
  4. 4.
    Gabor, D.: Theory of communication. J. Inst. Elect. Eng. 93, 429–459 (1946)Google Scholar
  5. 5.
    Huang, J., Ma, L., Wang, Y., Tan, T.: Iris recognition based on local orientation description. In: Proc. 6th Asian Conf. Computer Vision, vol. II, pp. 954–959 (2004)Google Scholar
  6. 6.
    Jain, A.K., Bolle, R.M., Pankanti, S. (eds.): Biometrics: Personal Identification in Networked Society. Kluwer, Norwell (1999)Google Scholar
  7. 7.
    Ma, L., Wang, Y., Tan, T.: Iris recognition using circular symmetric filters. In: Proceedings of the 16th International Conference on Pattern Recognition, vol. 2, pp. 414–417 (2002)Google Scholar
  8. 8.
    Ma, L., Tan, T., Wang, Y., Zhang, D.: Personal identification based on iris texture analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(12), 1519–1533 (2003)CrossRefGoogle Scholar
  9. 9.
    Ma, L., Tan, T., Zhang, D., Wang, Y.: Local intensity variation analysis for iris recognition. Pattern Recognition 37(6), 1287–1298 (2005)CrossRefGoogle Scholar
  10. 10.
    Ma, L., Wang, Y., Tan, T.: Iris recognition based on multichannel Gabor filtering. In: Proc. 5th Asian Conf. Computer Vision, vol. I, pp. 279–283 (2002)Google Scholar
  11. 11.
    Park, C., Lee, J., Smith, M., Park, K.: Iris-based personal authentication using a normalized directional energy feature. In: Proc. 4th Int. Conf. Audio- and Video-Based Biometric Person Authentication, pp. 224–232 (2003)Google Scholar
  12. 12.
    Proencÿa, H., Alexandre, L.A.: UBIRIS: A noisy iris image database. In: Roli, F., Vitulano, S. (eds.) ICIAP 2005. LNCS, vol. 3617, pp. 970–977. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  13. 13.
    Proencÿa, H., Alexandre, L.A.: Iris segmentation methodology for non-cooperative iris recognition. IEE Proc. Vision, Image & Signal Processing 153(2), 199–205 (2006)CrossRefGoogle Scholar
  14. 14.
    Sanchez-Reillo, R., Sanchez-Avila, C.: Iris recognition with low template size. In: Bigun, J., Smeraldi, F. (eds.) AVBPA 2001. LNCS, vol. 2091, pp. 324–329. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  15. 15.
    Sun, Z., Wang, Y., Tan, T., Cui, J.: Improving iris recognition accuracy via cascaded classifiers. IEEE Trans. on Systems, Man, and Cybernetics-Part C 35(3), 435–441 (2005)CrossRefGoogle Scholar
  16. 16.
    Tisse, C., Martin, L., Torres, L., Robert, M.: Person identification technique using human iris recognition. In: Proc. Vision Interface, pp. 294–299 (2002)Google Scholar
  17. 17.
    Wildes, R.P.: Iris recognition: an emerging biometric technology. Proceedings of the IEEE 85(9), 1348–1363 (1997)CrossRefGoogle Scholar
  18. 18.
    Wildes, R.P., Asmuth, J.C., Green, G.L., Hsu, S.C., Kolczynski, R.J., Matey, J.R., McBride, S.E.: A machine vision system for iris recognition. Mach. Vision Applicat. 9, 1–8 (1996)CrossRefGoogle Scholar
  19. 19.
    Yuan, X., Shi, P.: A non-linear normalization model for iris recognition. In: Li, S.Z., Sun, Z., Tan, T., Pankanti, S., Chollet, G., Zhang, D. (eds.) IWBRS 2005. LNCS, vol. 3781, pp. 135–141. Springer, Heidelberg (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ryszard S. Choraś
    • 1
  1. 1.University of Technology & Life SciencesBydgoszczPoland

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