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Hand-based multibiometric systems: state-of-the-art and future challenges

The traditional methods used for the identification of individuals such as personal identification numbers (PINs), identification tags, etc., are vulnerable as they are easily compromised by the hackers. In this paper, we aim to focus on the existing multibiometric systems that use hand based modali...

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Detalles Bibliográficos
Autores principales: Aftab, Anum, Khan, Farrukh Aslam, Khan, Muhammad Khurram, Abbas, Haider, Iqbal, Waseem, Riaz, Farhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507475/
https://www.ncbi.nlm.nih.gov/pubmed/34712793
http://dx.doi.org/10.7717/peerj-cs.707
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author Aftab, Anum
Khan, Farrukh Aslam
Khan, Muhammad Khurram
Abbas, Haider
Iqbal, Waseem
Riaz, Farhan
author_facet Aftab, Anum
Khan, Farrukh Aslam
Khan, Muhammad Khurram
Abbas, Haider
Iqbal, Waseem
Riaz, Farhan
author_sort Aftab, Anum
collection PubMed
description The traditional methods used for the identification of individuals such as personal identification numbers (PINs), identification tags, etc., are vulnerable as they are easily compromised by the hackers. In this paper, we aim to focus on the existing multibiometric systems that use hand based modalities for the identification of individuals. We cover the existing multibiometric systems in the context of various feature extraction schemes, along with an analysis of their performance using one of the performance measures used for biometric systems. Later, we cover the literature on template protection including various cancelable biometrics and biometric cryptosystems and provide a brief comment about the methods used for multibiometric template protection. Finally, we discuss various open issues and challenges faced by researchers and propose some future directions that can enhance the security of multibiometric templates.
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spelling pubmed-85074752021-10-27 Hand-based multibiometric systems: state-of-the-art and future challenges Aftab, Anum Khan, Farrukh Aslam Khan, Muhammad Khurram Abbas, Haider Iqbal, Waseem Riaz, Farhan PeerJ Comput Sci Artificial Intelligence The traditional methods used for the identification of individuals such as personal identification numbers (PINs), identification tags, etc., are vulnerable as they are easily compromised by the hackers. In this paper, we aim to focus on the existing multibiometric systems that use hand based modalities for the identification of individuals. We cover the existing multibiometric systems in the context of various feature extraction schemes, along with an analysis of their performance using one of the performance measures used for biometric systems. Later, we cover the literature on template protection including various cancelable biometrics and biometric cryptosystems and provide a brief comment about the methods used for multibiometric template protection. Finally, we discuss various open issues and challenges faced by researchers and propose some future directions that can enhance the security of multibiometric templates. PeerJ Inc. 2021-10-07 /pmc/articles/PMC8507475/ /pubmed/34712793 http://dx.doi.org/10.7717/peerj-cs.707 Text en © 2021 Aftab et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
spellingShingle Artificial Intelligence
Aftab, Anum
Khan, Farrukh Aslam
Khan, Muhammad Khurram
Abbas, Haider
Iqbal, Waseem
Riaz, Farhan
Hand-based multibiometric systems: state-of-the-art and future challenges
title Hand-based multibiometric systems: state-of-the-art and future challenges
title_full Hand-based multibiometric systems: state-of-the-art and future challenges
title_fullStr Hand-based multibiometric systems: state-of-the-art and future challenges
title_full_unstemmed Hand-based multibiometric systems: state-of-the-art and future challenges
title_short Hand-based multibiometric systems: state-of-the-art and future challenges
title_sort hand-based multibiometric systems: state-of-the-art and future challenges
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507475/
https://www.ncbi.nlm.nih.gov/pubmed/34712793
http://dx.doi.org/10.7717/peerj-cs.707
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