Abstract
Identity verification based on on-line signature is a commonly known biometric task. Some methods based on the on-line signature biometric attribute used for identity verification use information from partitions of the signature. Efficiency of these methods is relatively high. In this paper we would like to present a new approach to signature trajectories partitioning, based on selection of the discretization points groups. The new method was compared to other methods, with use of the SVC2004 public on-line signature database.
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Zalasiński, M., Cpałka, K. (2013). Novel Algorithm for the On-Line Signature Verification Using Selected Discretization Points Groups. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2013. Lecture Notes in Computer Science(), vol 7894. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38658-9_44
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DOI: https://doi.org/10.1007/978-3-642-38658-9_44
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