A New Algorithm for Rotation Detection in Iris Pattern Recognition

  • Krzysztof Misztal
  • Jacek Tabor
  • Khalid Saeed
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7564)

Abstract

A new method for finding the rotation angle in iris images for biometric identification is presented in this paper. The proposed approach is based on Fourier descriptors analysis and algebraic properties of vector rotation in complex space.

Keywords

Iris pattern recognition rotation estimation rotation recovery Fourier descriptors 

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.: High confidence visual recognition of persons by a test of statistical independence. IEEE Transactions on Pattern Analysis and Machine Intelligence 15(11), 1148–1161 (1993)CrossRefGoogle Scholar
  3. 3.
    Daugman, J.: How iris recognition works. IEEE Transactions on Circuits and Systems for Video Technology 14(1), 21–30 (2004)CrossRefGoogle Scholar
  4. 4.
    Elshoura, S.M., Megherbi, D.B.: A new rotation estimation and recovery algorithm. In: 2010 International Symposium on Computer Communication Control and Automation (3CA), vol. 1, pp. 411–414 (2010)Google Scholar
  5. 5.
    Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Prentice Hall, Upper Saddle River (2002)Google Scholar
  6. 6.
    Huang, Y.P., Luo, S.W., Chen, E.Y.: An efficient iris recognition system. In: Proceedings of the 2002 International Conference on Machine Learning and Cybernetics, vol. 1, pp. 450–454 (2002)Google Scholar
  7. 7.
    Salomon, D.: Data compression: the complete reference. Springer-Verlag New York Inc. (2007)Google Scholar
  8. 8.
    Tomeo-Reyes, I., Liu-Jimenez, J., Rubio-Polo, I., Redondo-Justo, J., Sanchez-Reillo, R.: Input images in iris recognition systems: A case study. In: 2011 IEEE International Systems Conference (SysCon), pp. 501–505 (2011)Google Scholar
  9. 9.
    Wildes, R.P.: Iris recognition: an emerging biometric technology. Proceedings of the IEEE 85(9), 1348–1363 (1997)CrossRefGoogle Scholar
  10. 10.
    Zhu, Y., Tan, T., Wang, Y.: Biometric personal identification based on iris patterns. In: Proceedings of the 15th International Conference on Pattern Recognition, vol. 2, pp. 801–804 (2000)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2012

Authors and Affiliations

  • Krzysztof Misztal
    • 1
    • 2
  • Jacek Tabor
    • 2
  • Khalid Saeed
    • 1
  1. 1.Faculty of Physics and Applied Computer ScienceAGH University of Science and TechnologyKrakówPoland
  2. 2.Faculty of Mathematics and Computer ScienceJagiellonian UniversityKrakówPoland

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