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Biometrics in the Era of COVID-19: Challenges and Opportunities

Gomez-Barrero, Marta ; Drozdowski, Pawel ; Rathgeb, Christian ; Patino, Jose ; Todisco, Massimiliano ; Nautsch, Andreas ; Damer, Naser ; Priesnitz, Jannier ; Evans, Nicholas ; Busch, Christoph (2022)
Biometrics in the Era of COVID-19: Challenges and Opportunities.
In: IEEE Transactions on Technology and Society
doi: 10.1109/TTS.2022.3203571
Article, Bibliographie

Abstract

Since early 2020, the COVID-19 pandemic has had a considerable impact on many aspects of daily life. A range of different measures have been implemented worldwide to reduce the rate of new infections and to manage the pressure on national health services. A primary strategy has been to reduce gatherings and the potential for transmission through the prioritisation of remote working and education. Enhanced hand hygiene and the use of facial masks have decreased the spread of pathogens when gatherings are unavoidable. These particular measures present challenges for reliable biometric recognition, e.g. for facial-, voice-and hand-based biometrics. At the same time, new challenges create new opportunities and research directions, e.g. renewed interest in non-constrained iris or periocular recognition, touch-less fingerprint-and vein-based authentication and the use of biometric characteristics for disease detection. This article presents an overview of the research carried out to address those challenges and emerging opportunities.

Item Type: Article
Erschienen: 2022
Creators: Gomez-Barrero, Marta ; Drozdowski, Pawel ; Rathgeb, Christian ; Patino, Jose ; Todisco, Massimiliano ; Nautsch, Andreas ; Damer, Naser ; Priesnitz, Jannier ; Evans, Nicholas ; Busch, Christoph
Type of entry: Bibliographie
Title: Biometrics in the Era of COVID-19: Challenges and Opportunities
Language: English
Date: 2022
Publisher: IEEE
Journal or Publication Title: IEEE Transactions on Technology and Society
DOI: 10.1109/TTS.2022.3203571
URL / URN: https://doi.org/10.1109/TTS.2022.3203571
Abstract:

Since early 2020, the COVID-19 pandemic has had a considerable impact on many aspects of daily life. A range of different measures have been implemented worldwide to reduce the rate of new infections and to manage the pressure on national health services. A primary strategy has been to reduce gatherings and the potential for transmission through the prioritisation of remote working and education. Enhanced hand hygiene and the use of facial masks have decreased the spread of pathogens when gatherings are unavoidable. These particular measures present challenges for reliable biometric recognition, e.g. for facial-, voice-and hand-based biometrics. At the same time, new challenges create new opportunities and research directions, e.g. renewed interest in non-constrained iris or periocular recognition, touch-less fingerprint-and vein-based authentication and the use of biometric characteristics for disease detection. This article presents an overview of the research carried out to address those challenges and emerging opportunities.

Uncontrolled Keywords: Biometrics, Machine learning, Security technologies, Human-centered computing, Society
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 20 Sep 2022 09:49
Last Modified: 20 Sep 2022 09:49
PPN: 499531663
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