Biometric Identification by Means of Hand Geometry and a Neural Net Classifier

  • Marcos Faundez-Zanuy
  • Guillermo Mar Navarro Mérida
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3512)

Abstract

This Paper describes a hand geometry biometric identification system. We have acquired a database of 22 people using a conventional document scanner. The experimental section consists of a study about the discrimination capability of different extracted features, and the identification rate using different classifiers based on neural networks.

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References

  1. 1.
    Jain, A.K., Bolle, R., Pankanti, S.: “Introduction to biometrics” in Biometrics Personal identification in networked society. Kluwer Academic Publishers, Dordrecht (1999)Google Scholar
  2. 2.
    Faundez-Zanuy, M.: Door-opening system using a low-cost fingerprint scanner and a PC. IEEE Aerospace and Electronic Systems Magazine 19(8), 23–26 (2004)CrossRefGoogle Scholar
  3. 3.
    Faundez-Zanuy, M., Fabregas, J.: Testing report of a fingerprint-based door-opening system. IEEE Aerospace and Electronic Systems Magazine (2005) (in press)Google Scholar
  4. 4.
    Espinosa-Duró, V.: Fingerprints thinning algorithm. IEEE Aerospace and Electronic Systems Magazine 18(9), 28–30 (2003)CrossRefGoogle Scholar
  5. 5.
    Faundez-Zanuy, M.: On the vulnerability of biometric security systems. IEEE Aerospace and Electronic Systems Magazine 19(6), 3–8 (2004)CrossRefGoogle Scholar
  6. 6.
    Faundez-Zanuy, M.: Data fusion in biometrics. IEEE Aerospace and Electronic Systems Magazine 20(1), 34–38 (2005)CrossRefGoogle Scholar
  7. 7.
    Faundez-Zanuy, M.: Biometric recognition: why not massively adopted yet? IEEE Aerospace and Electronic Systems Magazine (2005) (in press)Google Scholar
  8. 8.
    Faundez-Zanuy, M.: Privacy issues on biometric systems. IEEE Aerospace and Electronic Systems Magazine 20(2), 13–15 (2005)CrossRefGoogle Scholar
  9. 9.
    Haykin, S.: Neural nets. A comprehensive foundation, 2nd edn. Prentice Hall, Englewood Cliffs (1999)Google Scholar
  10. 10.
    Faundez-Zanuy, M.: Are inkless fingerprint sensors suitable for mobile use? IEEE Aerospace and Electronic Systems Magazine 19(4), 17–21 (2004)CrossRefGoogle Scholar
  11. 11.
    Faúndez-Zanuy, M.: Technological evaluation of two AFIS systems. IEEE Aerospace and Electronic Systems Magazine (2005) (in press)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Marcos Faundez-Zanuy
    • 1
  • Guillermo Mar Navarro Mérida
    • 1
  1. 1.Escola Universitária Politécnica de Mataró Universitat Politécnica de CatalunyaBarcelonaSpain

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