Abstract
A signature verification algorithm based on static and dynamic features of online signature data is presented. Texture and topological features are the static features of a signature image whereas the digital tablet captures in real-time the pressure values, breakpoints, and the time taken to create a signature. 1D – log Gabor wavelet and Euler numbers are used to analyze the textural and topological features of the signature respectively. A multi-classifier decision algorithm combines the results obtained from three feature sets to attain an accuracy of 98.18%.
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
Bigun, J., du Buf, J.M.: N-folded symmetries by complex moments in Gabor space and their applications to unsupervised texture segmentation. IEEE Transactions on PAMI 16(1), 80–87 (1994)
Brault, J.-J., Plamondon, R.: Segmenting Handwritten Signatures at Their Perceptually Important Points. IEEE Transactions on PAMI 15(9), 953–957 (1993)
Daugman, J.: Recognizing Persons by their Iris Patterns. In: Jain, A., Bolle, R., Pankati, S. (eds.) Biometric: Personal Identification in Networked Society, pp. 103–121. Kluwer, Dordrecht (1998)
Gonzalez, W.: Digital Image Processing, 2nd edn. Pearson Education, London
Josef, K., Mohamad, H., Duin Robert, W.P., Jiri, M.: On combining classifiers. IEEE Transactions on PAMI 20(3), 226–239 (1998)
Rubner, Y., Tomasi, C.: Coalescing Texture Descriptors. In: Proceedings of the ARPA Image Understanding Workshop (1996)
Scott, D.C., Jain, A.K., Griess, F.D.: On-line Signature Verification. Pattern Recognition 35(12), 2963–2972 (2002)
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
Vatsa, M., Singh, R., Mitra, P., Noore, A. (2004). Signature Verification Using Static and Dynamic Features. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_53
Download citation
DOI: https://doi.org/10.1007/978-3-540-30499-9_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23931-4
Online ISBN: 978-3-540-30499-9
eBook Packages: Springer Book Archive