Learning Local Correspondences for Static Signature Verification

  • G. Pirlo
  • D. Impedovo
  • E. Stasolla
  • C. A. Trullo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5883)


This paper presents a new approach for off-line signature verification. Signature verification is performed by matching only well-selected regions of the signature images. More precisely, from the analysis of lower and upper contours of a signature image, region stability is estimated and the most stable regions are selected for verification, during the enrollment phase. In the verification phase, an unknown specimen is verified through the analysis of the selected regions, on the basis of a well-defined similarity measure. The experimental results, carried out on signatures from the GPDS database, demonstrate the potential of the proposed approach.


Signature Image Enrollment Phase Handwriting Recognition False Acceptance Rate False Rejection Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  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. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) 8(3), 643–660 (1994); In: Plamondon, R. (ed.): Special Issue on Progress in Automatic Signature Verification. MPAI. 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 Transactions on Pattern Analysis and Machine Intelligence (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, pp. 179–184, October 25-29 (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. Transactions of the 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. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) 11(4), 549–569 (1997)CrossRefGoogle Scholar
  9. 9.
    Ferrer, M.A., Alonso, J.B., Travieso, C.M.: Offline Geometric Parameters for Automatic Signature Verification Using Fixed-Point Arithmetic. IEEE Trans. on Pattern Analysis Machine Intelligence 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, Berlin (1994)Google 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)Google Scholar
  14. 14.
    Di Lecce, V., Dimauro, G., Guerriero, A., Impedovo, S., Pirlo, G., Salzo, A., Sarcinella, L.: Selection of Reference Signatures for Automatic Signature Verification. In: 5th International Conference on Document Analysis and Recognition (ICDAR-5), Bangalore, India, pp. 597–600, September 20-22 (1999)Google Scholar
  15. 15.
    Vargas, J.F., Ferrer, M.A., Travieso, C.M., Alonso, J.B.: Off-line Handwritten Signature GPDS-960 Corpus. In: Proc. 9th Int. Conf. on Document Analysis and Recognition (ICDAR), vol. 2, pp. 764–768, September 23-26 (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • G. Pirlo
    • 1
    • 3
  • D. Impedovo
    • 2
    • 3
  • E. Stasolla
    • 1
    • 3
  • C. A. Trullo
    • 1
    • 3
  1. 1.Dipartimento di InformaticaUniversità degli Studi di BariBari
  2. 2.Dip. di Ing. Elettrotecnica ed ElettronicaPolitecnico di BariBari
  3. 3.Centro “Rete Puglia”Università degli Studi di BariBari

Personalised recommendations