Handwritten Signature Verification Using DRT

Authors

  • Vahe S. Khachaturyan Institute for Informatics and Automation Problems of NAS RA

Keywords:

Signature Verification, discrete Radon transform, hidden Markov model

Abstract

The purpose of this research is the development of mathematical and algorithmic support, which will improve the accuracy of signature verification. The algorithms compute the distances whilecomparing signatures based on DRT and HMM. For acceptance or rejection of the test signature a sliding threshold is used for all the authors, and depending on the author athresholdmethod is used, based on the distances between the test signature and the signatures of control, taking them as signs of the problem of two-class classification, using standard methods of image classification.

References

National Check Fraud Center, National Check Fraud Center Report, 2000.

S. Djeziri, F. Nouboud, and R. Plamondon, “Extraction of signatures from cheque background based on a filiformity criterion,” IEEE Trans. Image Processing, vol. 7, no. 10, pp. 1425– 1438, 1998.

A. L. Koerich and L. L. Lee, “Automatic extraction of filledin information from bankchecks based on prior knowledge about layout structure,” in Advances in Document Image Analysis: First Brazilian Symposium, Lecture Notes in Computer Science, vol. 1339, pp. 322–333, 1997.

J. E. B. Santos, F. Bortolozzi, and R. Sabourin, “A simple methodology to bankcheck segmentation,” in Advances in Document Image Analysis: First Brazilian Symposium, Lecture Notes in Computer Science, vol. 1339, pp. 334–343, 1997.

R. Plamondon and S. N. Srihari, “On-line and off-line handwriting recognition: a comprehensive survey,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 22, no. 1, pp. 63–84, 2000.

R. Sabourin, G. Genest, and F. Prˆeteux, “Off-line signature verification by local granulometric size distributions,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 19, no. 9, pp. 976–988, 1997.

A. El-Yacoubi, E. J. R. Justino, R. Sabourin, and F. Bortolozzi, “Off-line signature verification using HMMs and cross-validation,” in IEEE International Workshop on Neural Networks for Signal Processing, pp. 859–868, 2000.

R. N. Bracewell, Two-Dimensional Imaging, Prentice-Hall, Englewood Cliffs, NJ, USA, 1995.

L. R. Rabiner, “A tutorial on hidden Markov models and selected applications in speech recognition,” Proceedings of the IEEE, vol. 77, no. 2, pp. 257–286, 1989.

Downloads

Published

2021-12-10

How to Cite

Khachaturyan, V. S. (2021). Handwritten Signature Verification Using DRT. Mathematical Problems of Computer Science, 39, 31–39. Retrieved from http://mpcs.sci.am/index.php/mpcs/article/view/381