Abstract
In this work we present a hybrid handwritten signature verification system where the on-line reference data acquired through a digitizing tablet serves as the basis for the segmentation process of the corresponding scanned off-line data. Local windows are determined over the image through a self-adjustable learning process and are used to focus the feature extraction step. The positions of the windows are determined according to the complexity of the underlying strokes given by the observation of a handwritten reproduction model. Local feature extraction is bounded by the windows formed and it is used with global primitives to feed the classifier. The overall performance of the system is then measured.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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)
Brault, J.-J., Plamondon, R.: Segmenting Handwritten Signatures at Their Perceptually Important Points. IEEE Transactions on PAMI 15(9), 953–957 (1993)
Zimmer, A., Ling, L.L.: Preprocessing: Segmenting by Stroke Complexity. In: Proceedings of the VI Iber-American Symposium on Pattern Recognition, Brazil, pp. 89–94 (2001)
Guerfali, W., Plamondon, R.: The Delta LogNormal Theory for the Generation and Modeling of Cursive Characters. In: Proceedings of the ICDAR, vol. 2, pp. 495–498 (1995)
O’Gorman, L.: Curvilinear Feature Detection from Curvature Estimation. In: Proceedings of the 9th International Conference on Pattern Recognition, pp. 1116–1119 (1988)
Otsu, N.: A Threshold selection Method from Grey Level Histograms. IEEE Transactions on Systems Man and Cybernetics 9, 62–66 (1979)
Sabourin, R., Genest, G.: An extended Shadow-Code Based Approach for Off-Line Signature Verification: Part I. In: Proccedings of the IAPR, Jerusalem, Israel, pp. 450–455 (1994)
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
Zimmer, A., Ling, L.L. (2004). A Window-Based Hybrid Signature Verification System. In: Zhang, D., Jain, A.K. (eds) Biometric Authentication. ICBA 2004. Lecture Notes in Computer Science, vol 3072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25948-0_77
Download citation
DOI: https://doi.org/10.1007/978-3-540-25948-0_77
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22146-3
Online ISBN: 978-3-540-25948-0
eBook Packages: Springer Book Archive