Recognition of Dynamic Signatures for People Verification

Shern Yau, Dinesh Kant Kumar

Abstract

Machine based identity validation has applications such as authentication of documents, for financial transactions, and for entry into restricted space and database. The ineffectiveness of password and personal identification numbers has been demonstrated by recent explosion of frauds. This paper proposes the use of unpenned dynamic signature to validate the authentic user and related transactional instruments. A comparison of the ability of various classifiers for classifying the multi-dimensional features of the dynamic signatures is reported. The technique has been tested for single user and multi user and also when the forger is actively attempting to cheat the system. The system is able to perfectly determine the authentic user from other users when the user’s signature trace is secret. The system is also able to perfectly reject forgers who may have access to the user’s signature, with a 10% of the authentic user signature being classified as ‘unknown’.

References

  1. Dimauro, G., Impedovo, S., Lucchese, M.G., Modugno, R. and Pirlo, G., “Recent Advancements in Automatic Signature Verification,” Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop, pp. 179 - 184, 2004.
  2. Duda, R.O., Hart, P.E., and Stork, D.G., Pattern Classification: John Wiley & Sons Inc, 2001.
  3. Fairhurst, M.C. and Kaplani, E., “Perceptual analysis of handwritten signatures for biometric authentication”, Vision, Image and Signal Processing, IEE Proceedings, vol. 150, no. 6, pp. 389 - 394, 2003.
  4. Faundez-Zanuy, M., “Signature Recognition State-of-the-art,” Aerospace and Electronic Systems Magazine, IEEE, vol. 20, no. 7, pp.28 - 32, 2005.
  5. George Panotopoulos, D.P., "Hand Gesture Biometrics", Caltech Centre for Neuromorphic Systems Engineering, 2001.
  6. Jain, A. Griess F, and Connell D, "On-line signature verification," Pattern Recognit., vol.35, no.12, pp.2963-2972, Dec. 2002.
  7. Kulkarni, A.D., Artificial Neural Networks for Image Understanding. New York: Van Nostrand Reinhold, 1994.
  8. Lippmann, R.P., “An Introduction to Computing with Neural Nets,” in IEEE ASSP Magazine, 1987.
  9. Nixon, M.S., et al., "Automatic Gait Recogntion", Biometrics: Personal Identification in Networked society, pp. 231-250, 1999.
  10. Plamondon, R., “The handwritten signature as a biometric identifier: psychophysical model and system design,” Security and Detection 1995. European Convention, pp. 23 - 27, 1995.
  11. Potamianos, G., Neti, C., Gravier, G., Garg, A., and Senior, A.W., “Recent Advances in the Automatic Recognition of Audiovisual Speech,” Proceedings of the IEEE, vol. 91, pp.1306-1324, 2003.
  12. Prabhakar, S., Sharathpankanti. and A.K. Jain, "Biometric Recognition: Security and Privacy Concerns", IEEE Security and Privacy, 2003.
  13. Schmidt, C. and Kraiss, K.F., “Establishment of Personalized Templates for Automatic Signature Verification,” Document Analysis and Recognition, 1997. Proceedings of the Fourth International Conference, vol. 1, pp. 263 - 267, 1997.
  14. Theodoridis, S., and Koutroumbas, K., Pattern Recognition: Academic Press, 1999.
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Paper Citation


in Harvard Style

Yau S. and Kant Kumar D. (2007). Recognition of Dynamic Signatures for People Verification . In Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007) ISBN 978-972-8865-93-1, pages 189-198. DOI: 10.5220/0002417601890198


in Bibtex Style

@conference{pris07,
author={Shern Yau and Dinesh Kant Kumar},
title={Recognition of Dynamic Signatures for People Verification},
booktitle={Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007)},
year={2007},
pages={189-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002417601890198},
isbn={978-972-8865-93-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007)
TI - Recognition of Dynamic Signatures for People Verification
SN - 978-972-8865-93-1
AU - Yau S.
AU - Kant Kumar D.
PY - 2007
SP - 189
EP - 198
DO - 10.5220/0002417601890198