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Iris Recognition in Wearable Computer

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Biometric Authentication (ICBA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3072))

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Abstract

Recently, there has been much progress in wearable computing. Input/output interface and security are important research areas in wearable computing. In this paper, we describe considerations which should be taken into account in designing a wearable interface and iris recognition system. One of the most important issues in designing a wearable iris recognition system is the radial lens distortion. We suggest a radial distortion elimination method which is simple but accurate. Experimental results show that the quality of the image captured by our system is good enough for iris recognition and we can achieve 0.18% of the EER by applying our proposed radial distortion elimination method.

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References

  1. Huang, P.: Promoting wearable computing: A survey and future agenda. Technical Report TIK-Nr.95, Computer Engineering and Networks Laboratory, Swiss Federal Institute of Technology (September 2000)

    Google Scholar 

  2. http://www.personaldisplay.com/english/default.html

  3. http://www.microopticalcorp.com/HomePage.html

  4. http://www.xybernaut.com/home.asp

  5. Lee, J.J., Park, K.R., Kim, J.: Gaze detection system under HMD environment for user interface. In: Supplementary Proc. of Int’l Conf. on Artificial Neural Network, Istanbul, Turkey, June 2003, pp. 512–515 (2003)

    Google Scholar 

  6. Tsai, R.: A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses. IEEE Journal of Robotics and Automation 3(4), 323–344 (1987)

    Article  Google Scholar 

  7. Weng, J., Cohen, P., Herniou, M.: Camera Calibration with Distortion Models and Accuracy Evaluation. IEEE Trans. on Patt. Anal. and Mach. Intell. 14(10), 965–980 (1992)

    Article  Google Scholar 

  8. Stein, G.P.: Accurate Internal Camera Calibration Using Rotation, with Analysis of Sources of Error. In: Proc. Fifth Int’l Conf. Computer Vision, pp. 230–236 (1995)

    Google Scholar 

  9. Du, F., Brady, M.: Self Calibration of the Intrinsic Parameters of Cameras for Active Vision Systems. In: Proc. of CVPR 1993, New York, June 1993, pp. 477–482 (1993)

    Google Scholar 

  10. Daugman, J.: High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. on Patt. Anal. and Mach. Intell. 15(11), 1148–1161 (1993)

    Article  Google Scholar 

  11. Bae, K., Noh, S., Kim, J.: Iris Feature Extraction Using Independent Component Analysis. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003. LNCS, vol. 2688, pp. 838–844. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  12. http://www.lgiris.com

  13. http://www.panasonic.com/cctv/products/biometrics.asp

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© 2004 Springer-Verlag Berlin Heidelberg

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Lee, J.J., Noh, S., Park, K.R., Kim, J. (2004). Iris Recognition in Wearable Computer. In: Zhang, D., Jain, A.K. (eds) Biometric Authentication. ICBA 2004. Lecture Notes in Computer Science, vol 3072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25948-0_65

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  • DOI: https://doi.org/10.1007/978-3-540-25948-0_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22146-3

  • Online ISBN: 978-3-540-25948-0

  • eBook Packages: Springer Book Archive

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