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Multimodal Biometric System Based on the Fusion in Score of Fingerprint and Online Handwritten Signature Cover

Multimodal Biometric System Based on the Fusion in Score of Fingerprint and Online Handwritten Signature

Applied Computer Systems
Volume 28 (2023): Issue 1 (June 2023)
By: ,  ,   and    
Open Access
|Aug 2023
Authors

Authors

Toufik Hafs

hafstoufik@gmail.com

LERICA, Dept. Electronics, Badji Mokhtar Annaba University, Annaba, Algeria

Hatem Zehir

hatemzehir@gmail.com

LERICA, Dept. Electronics, Badji Mokhtar Annaba University, Annaba, Algeria

Ali Hafs

hafsali2006@yahoo.fr

Department of Physics, University of Chadli Bendjedid, El Tarf, Algeria

Amine Nait-Ali

naitali@u-pec.fr

LISSI, University of Paris, Créteil, France
DOI: https://doi.org/10.2478/acss-2023-0006 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 58 - 65
Published on: Aug 17, 2023
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Empirical mode decomposition (EMD),
fingerprint,
image and signal processing,
Min-Max,
multibiometrics,
online handwritten signature,
scores fusion,
weighted sum
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2023 Toufik Hafs, Hatem Zehir, Ali Hafs, Amine Nait-Ali, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 28 (2023): Issue 1 (June 2023)
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