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A New Hand-Movement-Based Authentication Method Using Feature Importance Selection with the Hotelling’s Statistic Cover

A New Hand-Movement-Based Authentication Method Using Feature Importance Selection with the Hotelling’s Statistic

Journal of Artificial Intelligence and Soft Computing Research
Volume 12 (2022): Issue 1 (January 2022)
By: Rafal Doroz,  Krzysztof Wrobel,  Piotr Porwik and  Tomasz Orczyk  
Open Access
|Oct 2021

Authors

Rafal Doroz

Institute of Computer Science, Faculty of Science and Technology, University of Silesia, Sosnowiec, Poland

Krzysztof Wrobel

krzysztof.wrobel@us.edu.pl

Institute of Computer Science, Faculty of Science and Technology, University of Silesia, Sosnowiec, Poland

Piotr Porwik

Institute of Computer Science, Faculty of Science and Technology, University of Silesia, Sosnowiec, Poland

Tomasz Orczyk

Institute of Computer Science, Faculty of Science and Technology, University of Silesia, Sosnowiec, Poland
DOI: https://doi.org/10.2478/jaiscr-2022-0004
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Language: English
Page range: 41 - 59
Submitted on: Mar 26, 2021
Accepted on: Jul 2, 2021
Published on: Oct 8, 2021
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
biometrics,
person authentication,
feature selection,
Hotelling’s statistic
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2021 Rafal Doroz, Krzysztof Wrobel, Piotr Porwik, Tomasz Orczyk, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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