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Review on Off-Line Signature Verification Techniques for Reducing Forgeries/Fraud

  • Natasha Sharma
  • Munish Kumar
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 178)

Abstract

Signatures continue to be an important biometric for authenticating the identity of human beings and reducing forgeries. The major challenging aspect of automated signature identification and verification has been, for a long time, a true motivation for researchers. Research into signature verification has been vigorously pursued for a number of years and is still being explored, especially in the offline mode. In this paper, we have discussed a brief overview of offline signature verification techniques for reducing forgeries and some of the most relevant perspectives are highlighted.

Keywords

Signature Verification forgeries biometric 

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References

  1. 1.
    Armand, S., Blumenstein, M., Muthukkumarasamy, V.: Off-line Signature Verification using the Enhanced Modified Direction Feature and Neural-based Classification. In: The Proceedings of International Joint Conference on Neural Networks, pp. 684–691 (2006)Google Scholar
  2. 2.
    Qiao, Y., Liu, J., Tang, X.: Offline Signature Verification Using Online Handwriting Registration. In: The Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–8 (2007)Google Scholar
  3. 3.
    Impedovo, S., Pirlo, G.: Verification of Handwritten Signatures: an Overview. In: The Proceedings of 14th International Conference on Image Analysis and Processing, pp. 191–196 (2007)Google Scholar
  4. 4.
    Lecce, V.D., Dimauro, G., Guerriero, A., Impedovo, S., Pirlo, G., Salzo, A., Sarcinella, L.: Selection of Reference Signatures for Automatic Signature Verification. In: The Proceedings of 5th International Conference on Document Analysis and Recognition, pp. 597–600 (1999)Google Scholar
  5. 5.
    Bovino, L., Impedovo, S., Pirlo, G., Sarcinella, L.: Multi-Expert Verification of Hand-Written Signatures. In: The Proceedings of 7th International Conference on Document Analysis and Recognition, pp. 932–936 (2003)Google Scholar
  6. 6.
    Dimauro, G., Impedovo, S., Lucchese, M.G., Modugno, R., Pirlo, G.: Recent Advancements in Automatic Signature Verification. In: The Proceedings of 9th International Workshop on Frontiers in Handwriting Recognition, pp. 179–184 (2004)Google Scholar
  7. 7.
    Dubey, R.B., Sachdeva, S.: An Offline Signature Verification Technique. WebmedCentral MISCELLANEOUS 2(5) (2011)Google Scholar
  8. 8.
    Plamondon, R.: The design of an on-line signature verification system: from theory to practice. International Journal of Pattern Recognition and Artificial Intelligence 8, 795–811 (1994)CrossRefGoogle Scholar
  9. 9.
    Ammar, M., Yoshida, Y., Fukumura, T.: A new effective approach for off-line verification of signatures by using pressure features. In: The Proceedings of International Conference on Pattern Recognition, pp. 566–569 (1986)Google Scholar
  10. 10.
    Plamondon, R., Lorette, G.: Automatic signature verification and writer identification: the state of the art. Pattern Recognition 22(2), 107–131 (1989)CrossRefGoogle Scholar
  11. 11.
    Nguyen, V., Blumenstein, M., Muthukkumarasamy, V., Leedham, G.: Off-line Signature Verification Using Enhanced Modified Direction Features in Conjunction with Neural Classifiers and Support Vector Machines. In: The Proceedings of 9th International Conference on Document Analysis and Recognition, pp. 734–738 (2007)Google Scholar
  12. 12.
    Yoshimura, I., Yoshimura, M.: On-line signature verification incorporating the direction of pen movement. Pattern Recognition 24, 909–915 (1991)CrossRefGoogle Scholar
  13. 13.
    Nemcek, W.F., Lin, W.C.: Experimental investigation of automatic signature verification. IEEE T-SMC 4, 121–126 (1974)Google Scholar
  14. 14.
    Lee, L.L., Berger, T., Aviczer, E.: Reliable On-Line Human Signature Verification Systems. IEEE T-PAMI 18(6), 643–647 (1996)CrossRefGoogle Scholar
  15. 15.
    Nelson, W., Turin, W., Hastie, T.: Statistical methods for online signature verification. International Journal of Pattern Recognition and Artificial Intelligence 8(3), 749–770 (1994)CrossRefGoogle Scholar
  16. 16.
    Letjman, D., George, S.: On-line handwritten signature verification using wavelets and back-propagation neural networks. In: The Proceedings of International Conference on Document Analysis and Recognition, pp. 596–598 (2001)Google Scholar
  17. 17.
    Baltzakis, H., Papamarkos, N.: A new signature verification technique based on a two-stage neural network classifier. Engineering Application of AI 14, 95–103 (2001)CrossRefGoogle Scholar
  18. 18.
    Cardot, H., Revenu, M., Victorri, B., Revillet, M.J.: A Static Signature Verification System based on a cooperative Neural Networks Architecture. International Journal of Pattern Recognition and Artificial Intelligence 8(3), 679–692 (1994)CrossRefGoogle Scholar
  19. 19.
    Sabourin, R., Plamondon, R., Beaumier, L.: Structural interpretation of handwritten signature images. International Journal of Pattern Recognition and Artificial Intelligence 8(3), 709–748 (1994)CrossRefGoogle Scholar
  20. 20.
    Bajaj, R., Chaudhury, S.: Signature Verification using multiple neural classifiers. Pattern Recognition 30(1), 1–7 (1997)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Information TechnologyBaba Farid Institute of Engineering and TechnologyBathindaIndia
  2. 2.Computer Science DepartmentPunjab University Constituent CollegeMuktsarIndia

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