Abstract
The aim of this paper is to conduct research which will investigate the impact of diverse features in vector on the identification and verification results. The selection of the features was based on the knowledge gained from scientific articles publish recently. One of the main goals of this paper is to probe the impact factor of weights in feature vector which will later serve in biometric authentication system based on keystroke dynamics. The unique application allows end-user to customize the vector parameters, such as: type of the feature and weight of the feature, additionally finding optimization for each custom feature vector.
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The research has been done in the framework of the grant S/WI/3/2018 Bialystok University of Technology.
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Omieljanowicz, M., Popławski, M., Omieljanowicz, A. (2019). A Method of Feature Vector Modification in Keystroke Dynamics. In: Pejaś, J., El Fray, I., Hyla, T., Kacprzyk, J. (eds) Advances in Soft and Hard Computing. ACS 2018. Advances in Intelligent Systems and Computing, vol 889. Springer, Cham. https://doi.org/10.1007/978-3-030-03314-9_39
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DOI: https://doi.org/10.1007/978-3-030-03314-9_39
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