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An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors Cover

An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors

Journal of Artificial Intelligence and Soft Computing Research
Volume 10 (2020): Issue 3 (July 2020)
By: Marcin Zalasiński,  Krzysztof Cpałka,  Łukasz Laskowski,  Donald C. Wunsch and  Krzysztof Przybyszewski  
Open Access
|May 2020

Authors

Marcin Zalasiński

marcin.zalasinski@pcz.pl

Czestochowa University of Technology, Department of Computational Intelligence, Częstochowa, Poland

Krzysztof Cpałka

Czestochowa University of Technology, Department of Computational Intelligence, Częstochowa, Poland

Łukasz Laskowski

Polish Academy of Sciences, Institute of Nuclear Physics, Krakow, Poland

Donald C. Wunsch

Department of Electrical and Computer Engineering, Missouri University of Science and Technology

Krzysztof Przybyszewski

Information Technology Institute, University of Social Sciences, Clark University, Łódź
DOI: https://doi.org/10.2478/jaiscr-2020-0012
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Language: English
Page range: 173 - 187
Submitted on: Oct 3, 2019
|
Accepted on: Apr 6, 2020
|
Published on: May 23, 2020
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
biometrics,
on-line signature,
dynamic signature,
dynamic signature verification,
evolutionary-fuzzy signature partitioning,
horizontal and vertical partitioning
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2020 Marcin Zalasiński, Krzysztof Cpałka, Łukasz Laskowski, Donald C. Wunsch, Krzysztof Przybyszewski, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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