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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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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. |
format | Online Article Text |
id | pubmed-8507475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
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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