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Feature Selection and Binarization for On-Line Signature Recognition

  • Emanuele Maiorana
  • Patrizio Campisi
  • Alessandro Neri
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5558)

Abstract

The representation of a biometric trait through a set of parametric features is commonly employed in many biometric authentication systems. In order to avoid any loss of useful information, large sets of features have been defined for biometric characteristics such as signature, gait or face. However, the proposed sets often contain features which are irrelevant, correlated with other features, or even unreliable. In this paper we propose two different approaches for the selection of those features which guarantee the best recognition performances. Moreover, we also face the problem of the binary representation of the selected features. Specifically, an algorithm which selects the minimum number of bits which should be assigned to a given feature, in order to not affect the recognition performances, is here proposed. The effectiveness of the proposed approaches is tested considering a watermarking based on-line signature authentication system, and employing the public MCYT on-line signature corpus as experimental database.

Keywords

Biometrics On-line Signature Feature Selection Feature Binarization Watermarking 

References

  1. 1.
    Jain, A.K., Ross, A., Prabhakar, S.: An Introduction to Biometric Recognition. IEEE Trans. on Circuits and Systems for Video Technology 14(1) (2004)Google Scholar
  2. 2.
    Hughes, G.: On the mean accuracy of statistical pattern recognizers. IEEE Transactions on Information Theory 14(1), 55–63 (1968)Google Scholar
  3. 3.
    Quixtiano-Xicohtencatl, R., Flores-Pulido, L., Reyes-Galaviz, O.F.: Feature Selection for a Fast Speaker Detection System with Neural Networks and Genetic Algorithms. In: 15th International Conference on Computing (CIC) (2006)Google Scholar
  4. 4.
    Azevedo, G.L.F., Cavalcanti, G.D.C., Filho, E.C.B.: An approach to feature selection for keystroke dynamics systems based on PSO and feature weighting. In: IEEE Congress on Evolutionary Computation (CEC), pp. 3577–3584 (2007)Google Scholar
  5. 5.
    Baofeng, G., Nixon, M.S.: Gait Feature Subset Selection by Mutual Information. In: IEEE Conference on Biometrics: Theory, Applications, and Systems (BTAS) (2007)Google Scholar
  6. 6.
    Brittan, P., Fairhurst, M.C.: Feature selection in automatic signature verification. In: IEE Colloquium on Image Processing for Biometric Measurement (1994)Google Scholar
  7. 7.
    Richiardi, J., Hamed, K., Drygajlo, A.: Local and global feature selection for on-line signature verification. In: Conference on Document Analysis and Recognition (2005)Google Scholar
  8. 8.
    Lee, L., Berger, T., Aviczer, E.: Reliable on-line human signature verification systems. IEEE Trans. on PAMI 18(6), 643–647 (1996)Google Scholar
  9. 9.
    Crane, H., Ostrem, J.: Automatic signature verification using a three-axis force-sensitive pen. IEEE Trans. on Systems, Man, and Cybernetics (1983)Google Scholar
  10. 10.
    Lei, H., Govindaraju, V.: A study on the consistency of features for on-line signature verification. In: IAPR SSPR (2004)Google Scholar
  11. 11.
    Fiérrez-Aguilar, J., Nanni, L., Lopez-Peñalba, J., Ortega-Garcia, J., Maltoni, D.: An on-line signature verification system based on fusion of local and global information. In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 523–532. Springer, Heidelberg (2005)Google Scholar
  12. 12.
    Galbally, J., Fierrez, J., Freire, M.R., Ortega-Garcia, J.: Feature Selection Based on Genetic Algorithms for On-Line Signature Verification. In: IEEE AIAT (2007)Google Scholar
  13. 13.
    Maiorana, E., Campisi, P., Neri, A.: Biometric Signature Authentication using Radon Transform-based Watermarking techniques. In: IEEE BSYM (2007)Google Scholar
  14. 14.
    Ortega-Garcia, J., et al.: MCYT baseline corpus: A bimodal biometric database. IEE Proceedings Vision, Image and Signal Processing 150(6) (2003)Google Scholar
  15. 15.
    Parzen, E.: On Estimation of a Probability Density Function and Mode. Annals of Mathematical Statistics 33, 1065–1076 (1962)Google Scholar
  16. 16.
    Ross, A., Nandakumar, K., Jain, A.K.: Handbook of Multibiometrics. Springer, Heidelberg (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Emanuele Maiorana
    • 1
  • Patrizio Campisi
    • 1
  • Alessandro Neri
    • 1
  1. 1.Dipartimento di Elettronica ApplicataUniversità degli Studi “Roma Tre”RomaItaly

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