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POLYBIO: Multimodal Biometric Data Acquisition Platform and Security System

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Part of the book series:Lecture Notes in Computer Science ((LNIP,volume 5372))

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Abstract

Biometrics is the automated method of recognizing a person based on a physiological or behavioural characteristic. Biometric technologies are becoming the foundation of an extensive array of highly secure identification and personal verification solutions. In the last few years there is increasing evidence that technologies based on multimodal biometrics can provide better identification results if proper fusion schemes are accommodated. In this work, we present a novel platform for multimodal biometric acquisition which combines voice, video, fingerprint and palm photo acquisition through an integrated device, and the preliminary fusion experiments on combining the acquired biometrics modalities. The results are encouraging and show clear improvement both in terms of False Acceptance Rate and False Rejection Rates compared to the corresponding single modality approaches. In the current report, fusion was accommodated at the output of the single modalities; however, fusion experimentation is ongoing and further fusion methodologies are under investigation.

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References

  1. Ross, A., Jain, A.K.: Identification Information fusion in biometrics. Pattern Recognition Letters 24, 2115–2125 (2003)

    Article  Google Scholar 

  2. Ross, A.: An Introduction to multibiometrics. In: Proc. Of the 15th European Signal Processing Conferene (EUSIPCO), Poznan, Poland (2007)

    Google Scholar 

  3. Brunelli, R., Falavigna, D.: Person Identification Using Multiple Cues. IEEE Trans. Pattern Analysis and Machine Intelligence 12(10), 955–966 (1995)

    Article  Google Scholar 

  4. Bigun, E.S., Bigun, J., Duc, B., Fischer, S.: Expert Conciliation for Multimodal Person Authentication Systems Using Bayesian Statistics. In: Bigün, J., Borgefors, G., Chollet, G. (eds.) AVBPA 1997. LNCS, vol. 1206, pp. 291–300. Springer, Heidelberg (1997)

    Chapter  Google Scholar 

  5. Kittler, J., Hatef, M., Duin, P.W.R., Matas, J.: On Combining Classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(3), 226–239 (1998)

    Article  Google Scholar 

  6. Ross, A., Nandakumar, K., Jain, A.K.: Handbook of Multibiometrics, 1st edn. Springer, New York (2006)

    Google Scholar 

  7. Jain, K.A., Ross, A.: Multibiometric Systems. Communications of the ACM, Special Issue on Multimodal Interfaces (2004)

    Google Scholar 

  8. Matsui, T., Furui, S.: Speaker Recognition Using Concatenated Phoneme HMMs. In: Proc. International Conference on Spoken Language Processing, Banff, Th.s AM.4.3 (1992)

    Google Scholar 

  9. Mammone, R.J., Zhang, X., Ramachandran, R.P.: Robust Speaker Recognition, A eature-Based Approach. IEEE Signal Processing Magazine 13(5), 55–71 (1996)

    Article  Google Scholar 

  10. Campbell, J.P.: Speaker Recognition: A Tutorial. In: Proc. of the IEEE, vol. 85(9), pp. 1437–1462 (1997)

    Google Scholar 

  11. Hermansky, H.: Perceptual linear predictive (PLP) analysis of speech. Journal of the Acoustical Society of America 87(4), 1738–1752 (1990)

    Article  Google Scholar 

  12. Pankanti, S., Prabhakar, S., Jain, A.K.: On the Individuality of Fingerprints. IEEE Trans. Pattern Analysis and Machine Intelligence 24(8), 1010–1025 (2002)

    Article MATH  Google Scholar 

  13. Galton, F.: Personal Identification and Description. Nature 38, 201–202 (1888)

    Article  Google Scholar 

  14. Barra, M., Collado, C., Mateu, J., O’Callaghan, J.M.: Miniaturization of Superconducting Filters Using Hilbert Fractal Curves. IEEE Transactions on Applied Superconductivity 15(3), 3841–3846 (2005)

    Article  Google Scholar 

  15. Chellappa, R., Bagdazian, R.: Fourier Coding of Image Boundaries. IEEE Trans. on Pattern Analysis and Machine Intelligence 6(1), 102–105 (1984)

    Article  Google Scholar 

  16. POLYBIO website,http://polybio.signalgenerix.com

  17. Fingerprint Reader manufacturer,http://www.bioenabletech.com

  18. Rabiner, L., Juang, B.H.: Fundamentals of Speech Recognition. Prentice Hall, Englewood Cliffs (1993)

    MATH  Google Scholar 

  19. Burges, C.J.C.: A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery 2, 121–167 (1998)

    Article  Google Scholar 

  20. Ji, C., Ma, S.: Combinations of weak classifiers. IEEE Trans. on Neural Networks 8(1), 32–42 (1999)

    MathSciNet  Google Scholar 

  21. Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Proceeding of CVPR 2001, vol. 1, pp. 511–518 (2001)

    Google Scholar 

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Author information

Authors and Affiliations

  1. SignalGeneriX Ltd, Arch.Leontiou A’ Maximos Court B’,3rd floor, P.O.Box 51341, 3504, Limassol, Cyprus

    Anastasis Kounoudes, Zenonas Theodosiou & Marios Milis

  2. Cyprus University of Technology, Arch.Kyprianos, P.O.Box 50329, 3603, Limmasol, Cyprus

    Nicolas Tsapatsoulis

Authors
  1. Anastasis Kounoudes

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  2. Nicolas Tsapatsoulis

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  3. Zenonas Theodosiou

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  4. Marios Milis

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Editor information

Editors and Affiliations

  1. CWI/Fontys, 5600 AH, Eindhoven, The Netherlands

    Ben Schouten

  2. Roskilde University, 4000, Roskilde, Denmark

    Niels Christian Juul

  3. Swiss Federal Institute of Technology Lausanne (EPFL), 1015, Lausanne, Switzerland

    Andrzej Drygajlo

  4. University of Sassari, 07041, Alghero, Italy

    Massimo Tistarelli

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© 2008 Springer-Verlag Berlin Heidelberg

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Kounoudes, A., Tsapatsoulis, N., Theodosiou, Z., Milis, M. (2008). POLYBIO: Multimodal Biometric Data Acquisition Platform and Security System. In: Schouten, B., Juul, N.C., Drygajlo, A., Tistarelli, M. (eds) Biometrics and Identity Management. BioID 2008. Lecture Notes in Computer Science, vol 5372. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89991-4_23

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