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Method of detection of real fingerprints on the basis of the Radon transform

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Abstract

An effective approach for the detection of real fingerprints based on the Radon transform is proposed. The results demonstrate that the method well distinguishes false fingers from real ones. The method proposed uses only one image, does not require additional equipment, and is easily integrated into existing fingerprint recognition systems.

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References

  1. Geller B., Almong J., Margot. P., and Springer E., A chronological review of fingerprint forgery, J. Forensic Sci., 44(5), pp. 9963–968, 1999.

    Google Scholar 

  2. Willis D. and Lee M., Six Biometric Devices Point the Finger and Security. Biometric under Our Thumb, Network Computing, June, 1998.

    Google Scholar 

  3. Van der Putte T. and Keuning J., Biometrical Fingerprint Recognition: don’t get your fingers burned, IFIP TC8/WG 8.8 Fourth Working Conference on Smart Card Research and Advanced Applications, pp. 289–303, Kluwer Academic Publishers, 2000.

  4. Matsumoto T., Matsumoto H., Yamada K., and Hoshino S., Impact of Artificial Gummy Fingers on Fingerprint systems, Proceedings of SPIE, Vol. 4677, Optical Security and Counterfeit Deterrence Techniques IV, 2002.

  5. Thalheim L. and Krissler J., Body Check: Biometric Access Protection Devices and their Programs Put to the test, c’t magazine, November, 2002.

  6. Schuckers S.A., Spoofing and Anti-Spoofing Measures, Information Security Technical Report, Vol. 7, no. 4, pp. 56–62, 2002.

    Article  Google Scholar 

  7. International Biometric Group: http://www.biometricgroup.com/reports/public/reports/liveness.html

  8. Osten D., Karim H.M., Arneson M.R., and Blan B.L., Biometric, Personal Authentication System, Minnesota Mining and Manufacturing Company, US Patent #5719950, February 17, 1998.

  9. Lapsley P.D., Less J.A., Pare D.F., Jr., and Hoffman N., Anti-Fraud Biometric Sensor that Accurately Detects Blood Flow, SmartTouch, LLC, US Patent #5737439, April 7, 1998.

  10. Kallo P., Kiss I., Podmaniczky A., and Talosi J., Detector for recognized the living character of a finger in a fingerprint recognized apparatus, Dermo Corporation Ltd. US Patent #617564, January 16, 2001.

  11. Antonelli A., Cappelli R., Maio D., and Maltoni D., Fake finger detection by skin distortion analysis, IEEE Transactions on Information Forensics and Security, Vol. 1,issue 3, 2006, pp. 360–373.

    Article  Google Scholar 

  12. Parthasaradhi S.T.V., Derakshani R., Hornak L.A., and Schuckers S.A.C., Time-series detection of perspiration as a liveness test in fingerprint devices, SMC-C(35), no. 3, August 2005, pp. 335–343.

  13. Valencia V., Horn C., Biometric liveness testing, Biometrics, J.D. Woodward Jr., NM Orlans and RT Higgins, Eds. New York 2003.

  14. Tan B. and Schuckers S.A.C., Liveness Detection for Fingerprint Scanners Based on the Statistic of Wavelet Signal Processing, Biometrics 06(26).

  15. Tan B. and Schuckers S., New approach for liveness detection in fingerprint scanners based on valley noise analysis, J.Electron. Imaging, vol. 17, 011009, 2008.

    Article  Google Scholar 

  16. Abhyankar A. and Schuckers S., Fingerprint Liveness Detection Using Local Ridge Frequencies and Multiresolution Texture Analysis Techniques, IEEE International Conference on Image Processing, Oct. 8–11, 2006, pp. 321–324.

  17. Changlong Jin, Hakil Kim, and Stephen Elliott, Liveness Detection of Fingerprint Based on Band-Selective Fourier Spectrum, Proceedings of the 10th International Conference Information Security and Cryptology-ICISC 2007, Seoul, Korea, November 29–30, 2007, Lecture Notes in Computer Sciences 4817, pp. 168–179.

  18. Moon Y.S., Chen J.S., Chan K.S., So K., and Woo K.C., Wavelets based fingerprint liveness detection, Electronic Letters, Vol. 41,issue 20, 2005, pp. 1112–1113.

    Article  Google Scholar 

  19. Toft P.A., The Radon Transform: Theory and Implementation. PhD thesis, Technical University of Denmark, 1996.

  20. Cheyne Gaw Ho, Rupert C.D. Young, Chris D. Bradfield, and Chris R. Chatwin., A fast Hoogh transform for the parametrization of straight lines using Fourier methods, Real-time Imaging, 6(2), pp. 113–127, 2000.

    Article  Google Scholar 

  21. Bezdek J.C., Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York, 1981.

    MATH  Google Scholar 

  22. http://fpserver.cse.cuhk.edu.hk./liveness.html

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Authors and Affiliations

  1. Institute of Information Technology, Azerbaijan National Academy of Sciences, ul. 9 F. Agayev, Baku, AZ1141, Republic of Azerbaijan

    Ya. N. Imamverdiev, L. E. Kerimova & V. Ya. Mussaev

Authors
  1. Ya. N. Imamverdiev
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  2. L. E. Kerimova
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  3. V. Ya. Mussaev
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Correspondence to Ya. N. Imamverdiev.

Additional information

Original Russian Text © Ya.N. Imamverdiev, L.E. Kerimova, V.Ya. Mussaev, 2009, published in Avtomatika i Vychislitel’naya Tekhnika, 2009, No. 5, pp. 63–71.

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Imamverdiev, Y.N., Kerimova, L.E. & Mussaev, V.Y. Method of detection of real fingerprints on the basis of the Radon transform. Aut. Conrol Comp. Sci. 43, 270–275 (2009). https://doi.org/10.3103/S0146411609050071

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  • DOI: https://doi.org/10.3103/S0146411609050071

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