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Articles

Fast and robust iris recognition

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Pages 128-139 | Published online: 18 Jul 2013

REFERENCES

  • Sun, Z., Wang, Y., Tan, T. and Cui, J.: Improving iris recognition accuracy via cascaded classifiers. IEEE Trans. Systems, Man, and Cybernetics Part C, Appl. Rev., 2005, 35, 435–441.
  • Chou, C. T., Shih, S. W., Chen, W. S. and Cheng, V. W.: The design of filter banks for iris feature extraction using the genetic algorithm. Proc. IPPR Conf. on Computer vision, graphics and image processing, Taipei, Taiwan, August 2005, pp. 584–591.
  • Daugman, J.: How iris recognition works. IEEE Trans. Circuits Sys. Video Technol., 2004, 14, 21–30.
  • Boles, W. W. and Boashash, B.: A human identification technique using images of the iris and wavelet transform. IEEE Trans. Signal Process., 1998, 46, 1185–1188.
  • Chen, W. S., Chih, K. H., Shih, S. W. and Hsieh, C. M.: Personal identification technique based on human iris recognition with wavelet transform. Proc. IEEE Conf. Acoustics, Speech, Signal Process., 2005, 2, 949–951.
  • Chen, W. S., Tsai, P. J., Shih, S. W., Hsieh, C. M. and Chang, S. H.: An iris recognition technique based on multi-feature extraction and support vector machine. Proc. IPPR Conf. on Computer vision, graphics and image processing, Taipei, Taiwan, August 2005, pp. 1159–1164.
  • Chu, C. T. and Chen, C. H.: High performance iris recognition based on 1-D circular feature extraction. Proc. IPPR Conf. on Computer vision, graphics and image processing, Taipei, Taiwan, August 2005, pp. 555–561.
  • Ma, L., Tan, T., Wang, Y. and Zhang, D.: Personal identification based on iris texture analysis. IEEE Trans. Pattern Anal. Machine Intell., 2003, 25, 1519–1533.
  • Wildes, R. P.: Iris recognition: an emerging biometric technology. Proc. IEEE, 1997, 85, 1348–1363.
  • Ma, L., Tan, T., Wang, Y. and Zhang, D.: Efficient iris recognition by characterizing key local variations. IEEE Trans. Image Process., 2004, 13, 739–750.
  • Ma, L., Tan, T. and Wang, Y.: Local intensity variation analysis for iris recognition. Pattern Recognit., 2004, 37, 1287–1298.
  • Bowyer, K. W., Hollingsworth, K. and Flynn, P. J.: Image understanding for iris biometrics: a survey. Comput. Vision Image Understand., 2008, 10, 281–307.
  • Hosseini, S. M., Araab, B. N. and Soltanian-Zadeh, H.: Shape analysis of stroma for iris recognition. LNCS 4642: International Conference on Biometrics, Seoul, Korea August 2007, IEEE, pp. 790–799.
  • Ives, R. W., Guidry, A. J. and Etter, D. M.: Iris recognition using histogram analysis. Proc. Asilomar Conf. on Signals, systems and computers, Monterey, CA, USA, November 2004, IEEE, Vol. 1, pp. 562–566.
  • Takano, H., Murakami, M. and Nakamura, K.: Iris recognition by a rotation spreading neural network. Proc. IEEE Conf. on Neural networks, Budapest, Hungary, July 2004, IEEE, Vol. 4, pp. 2589–2594.
  • Proenca, H. and Alexandre, L. A.: Iris segmentation methodology for non-cooperative recognition. IEE Proc. Vision Image Signal process., 2006, 153, 199–205.
  • Phillips, P. J., Bowyer, K. W. and Flynn, P. J.: Comments on the CASIA version 1.0 iris data set. IEEE Trans. Pattern Anal. Machine Intell., 2007, 29, 1869–1870.
  • CASIA Iris Image Database, available at: http://www.sinobiometrics.com/

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