Abstract
In this paper we propose a new algorithm for on-line signature verification using characteristic global features values. It is based on so-called global features which describe characteristic attributes of the signature, e.g. time of signing process, number of pen-ups, average velocity of the pen etc. Our method assumes evaluation of the global features for the individual and selection of the most characteristic ones, which are used during classification phase (verification of the signature). Classification is performed using specially designed flexible neuro-fuzzy one class classifier.
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Acknowledgments
The authors would like to thank the reviewers for very helpful suggestions and comments in the revision process. The project was financed by the National Science Centre (Poland) on the basis of the decision number DEC-2012/05/B/ST7/02138.
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Zalasiński, M. (2016). New Algorithm for On-line Signature Verification Using Characteristic Global Features. In: Wilimowska, Z., Borzemski, L., Grzech, A., Świątek, J. (eds) Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part IV. Advances in Intelligent Systems and Computing, vol 432. Springer, Cham. https://doi.org/10.1007/978-3-319-28567-2_12
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DOI: https://doi.org/10.1007/978-3-319-28567-2_12
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