Abstract
Dynamic signature is a biometric attribute which can be used to perform verification of the identity. It consists of waveforms describing dynamics of a signing process. The waveforms are acquired using a digital input device, e.g. graphic tablet or touchscreen. During verification process the signature is usually represented by descriptors, which can be so-called global features. In this paper, we propose a new genetic approach to select a specified number of the most characteristic global features for each signer, which are used in the identity verification process. Proposed method was tested using known dynamic signatures database - MCYT-100.
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Acknowledgment
The project was financed by the National Science Centre (Poland) on the basis of the decision number DEC-2012/05/B/ST7/02138. The work presented in this paper was also supported by the grant number BS/MN 1-109-301/16/P.
The authors would like to thank the reviewers for very helpful suggestions and comments in the revision process.
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Zalasiński, M., Cpałka, K. (2018). A Method for Genetic Selection of the Dynamic Signature Global Features’ Subset. In: Borzemski, L., Świątek, J., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017. ISAT 2017. Advances in Intelligent Systems and Computing, vol 655. Springer, Cham. https://doi.org/10.1007/978-3-319-67220-5_7
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