Stability Analysis of Static Signatures for Automatic Signature Verification

  • Donato Impedovo
  • Giuseppe Pirlo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6979)


This paper presents a static signature verification system based on the concept of local stability. Stable regions are detected in the signatures, during the enrolling phase, and are considered to be those regions affected by low variations of features among the training set. The stability evaluation is based on the Hamming distance. Stable regions are successively used for verification, in the running phase. A region-oriented verification strategy is considered, based on a well-defined similarity measure which takes into account the variability in signing of the writer. The experimental results, carried out on signatures from the GPDS database, demonstrate the viability of proposed approach.


Biometry Static Signature Verification Stability Analysis 


  1. 1.
    Plamondon, R., Lorette, G.: Automatic Signature Verification and Writer Identification – The State of the Art. Pattern Recognition 22(2), 107–131 (1989)CrossRefGoogle Scholar
  2. 2.
    Leclerc, F., Plamondon, R.: Automatic Signature Verification: The State of the Art – 1989 1993. In: Plamondon, R. (ed.) IJPRAI, vol. 8(3), pp. 643–660. World Scientific, Singapore (1994)Google Scholar
  3. 3.
    Impedovo, D., Pirlo, G.: Automatic Signature Verification – The State of the Art. IEEE Transactions on Systems, Man and Cybernetics - Part C: Applications and Review 38(5), 609–635 (2008)CrossRefGoogle Scholar
  4. 4.
    Plamondon, R., Srihari, S.N.: On line and Off line Handwriting Recognition: A Comprehensive Survey. IEEE T-PAMI 22(1), 63–84 (2000)CrossRefGoogle Scholar
  5. 5.
    Dimauro, G., Impedovo, S., Lucchese, M.G., Modugno, R., Pirlo, G.: Recent Advancements in Automatic Signature Verification. In: 9th International Workshop on Frontiers in Handwriting Recognition (IWFHR-9), Kichijoji, October 25-29, pp. 179–184 (2004)Google Scholar
  6. 6.
    Dimauro, G., Impedovo, S., Pirlo, G., Salzo, A.: A multi-expert signature verification system for bankcheck processing. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) 11(5), 827–844 (1997)CrossRefGoogle Scholar
  7. 7.
    Yoshimura, M., Yoshimura, I.: Investigation of a verification system for Japanese countersignatures on traveler’s checks. Trans. IEICE J80-D-II(7), 1764–1773 (1997)Google Scholar
  8. 8.
    Lee, L.L., Lizarraga, M.G., Gomes, N.R., Koerich, A.L.: A prototype for Brazilian bankcheck recognition. IJPRAI 11(4), 549–569 (1997)Google Scholar
  9. 9.
    Ferrer, M.A., Alonso, J.B., Travieso, C.M.: Offline Geometric Parameters for Automatic Signature Verification Using Fixed-Point Arithmetic. IEEE T-PAMI 27(6), 993–997 (2005)CrossRefGoogle Scholar
  10. 10.
    Nouboud, F.: Handwritten signature verification: a global approach. In: Impedovo, S. (ed.) Fundamentals in Handwriting Recognition, pp. 455–459. Springer, Heidelberg (1994)CrossRefGoogle Scholar
  11. 11.
    Ramesh, V.E., Narasimha Murty, M.: Off-line signature verification using genetically optimized weighted features. Pattern Recognition 32(2), 217–233 (1999)CrossRefGoogle Scholar
  12. 12.
    Bajaj, R., Chaudhury, S.: Signature Verification Using Multiple Neural Classifiers. Pattern Recognition 30(1), 1–7 (1997)CrossRefGoogle Scholar
  13. 13.
    Congedo, G., Dimauro, G., Forte, A.M., Impedovo, S., Pirlo, G.: Selecting Reference Signatures for On Line Signature Verification. In: Braccini, C., Vernazza, G., DeFloriani, L. (eds.) ICIAP 1995. LNCS, vol. 974, pp. 521–526. Springer, Heidelberg (1995)CrossRefGoogle Scholar
  14. 14.
    Impedovo, D., Modugno, R., Pirlo, G., Stasolla, E.: Handwritten Signature Verification by Multiple Reference Sets. In: Proc. of the 11th International Conference on Frontiers in Handwriting Recognition (ICFHR), pp. 19–21 (August 2008)Google Scholar
  15. 15.
    Impedovo, D., Pirlo, G.: On the Measurement of Local Stability of Handwriting - An application to Static Signature Verification. In: Proc. of Biometric Measurements and Systems for Security and Medical Applications (BIOMS 2010), Taranto, Italy, pp. 41–44. IEEE Computer Society Press, Los Alamitos (2010)Google Scholar
  16. 16.
    Pirlo, G., Impedovo, D., Stasolla, E., Trullo, C.A.: Learning local correspondences for static signature verification. In: Serra, R., Cucchiara, R. (eds.) AI*IA 2009. LNCS, vol. 5883, pp. 385–394. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  17. 17.
    Vargas, J.F., Ferrer, M.A., Travieso, C.M., Alonso, J.B.: Off-line Handwritten Signature GPDS-960 Corpus. In: Proc. 9th ICDAR, September 23-26, vol. 2, pp. 764–768 (2007)Google Scholar
  18. 18.
    Jayadevan, R., Kolhe, S.R., Patil, P.M.: Dynamic Time Warping Based Static Hnad Printed Signature Verification. Journal of Pattern Recognition Research 4(1), 52–65 (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Donato Impedovo
    • 1
    • 2
  • Giuseppe Pirlo
    • 1
    • 2
  1. 1.Dipartimento di InformaticaUniversità degli Studi di Bari “A. Moro”BariItaly
  2. 2.Centro Interfacoltà “Rete Puglia”Università degli Studi di Bari “A. Moro”BariItaly

Personalised recommendations