Abstract
A lot of different features have been proposed for on-line signature verification. By using these features, researchers implicitly believe they have high consistency as well as high discriminatory power. However, very little work has been done to measure the real consistency of these features. In this paper, we propose a model for consistency measure. Experiments were conducted to compare a comprehensive set of features commonly used for on-line signature verification.
Chapter PDF
References
Nalwa, V.: Automatic on-line signature verification. Proceedings of the IEEE 85(2), 213–239 (1997)
Munich, M., Perona, P.: Visual identification by signature tracking. IEEE Trans. on Pattern Analysis and Machine Intelligence (2003)
Martens, R., Claesen, L.: On-line signature verification by dynamic time-warping. In: Proc. 13th Int. Conf. Pattern Recognition, pp. 38–42 (1996)
Lee, L., Berger, T., Aviczer, E.: Reliable On-Line Human Signature Verification Systems. IEEE Trans. on Pattern Analysis and Machine Intelligence, pp. 643–647 (1996)
Rhee, T., Cho, S., Kim, J.: On-Line Signature Verification Using Model-Guided Segmentation and Discriminative Feature Selection for Skilled Forgeries. In: The 6th Int. Conf. on Document Analysis and Recognition, ICDAR (2001)
SVC. The First International Signature Verification Competition (2004), http://www.cs.ust.hk/svc2004/
Jain, A., Griess, F., Connell, S.: On-line Signature Verification. Pattern Recognition 35(12), 2963–2972 (2002)
Leclerc, F., Plamondon, R.: Automatic signature verification: the state of the art 1989-1993. International Journal of Pattern Recognition and Artificial Intelligence 8(3), 643–660 (1994)
Plamondon, R., Leclerc, F.: Automatic signature verification and writer identification the state of the art. Pattern Recognition 22(2), 107–131 (1989)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lei, H., Govindaraju, V. (2004). A Study on the Consistency of Features for On-Line Signature Verification. In: Fred, A., Caelli, T.M., Duin, R.P.W., Campilho, A.C., de Ridder, D. (eds) Structural, Syntactic, and Statistical Pattern Recognition. SSPR /SPR 2004. Lecture Notes in Computer Science, vol 3138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27868-9_47
Download citation
DOI: https://doi.org/10.1007/978-3-540-27868-9_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22570-6
Online ISBN: 978-3-540-27868-9
eBook Packages: Springer Book Archive