On the generalisation capabilities of fingerprint presentation attack detection methods in the short wave infrared domain

Abstract Nowadays, fingerprint‐based biometric recognition systems are becoming increasingly popular. However, in spite of their numerous advantages, biometric capture devices are usually exposed to the public and thus vulnerable to presentation attacks (PAs). Therefore, presentation attack detectio...

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Main Authors: Jascha Kolberg, Marta Gomez‐Barrero, Christoph Busch
Format: Article
Language:English
Published: Wiley 2021-07-01
Series:IET Biometrics
Subjects:
Online Access:https://doi.org/10.1049/bme2.12020
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author Jascha Kolberg
Marta Gomez‐Barrero
Christoph Busch
author_facet Jascha Kolberg
Marta Gomez‐Barrero
Christoph Busch
author_sort Jascha Kolberg
collection DOAJ
description Abstract Nowadays, fingerprint‐based biometric recognition systems are becoming increasingly popular. However, in spite of their numerous advantages, biometric capture devices are usually exposed to the public and thus vulnerable to presentation attacks (PAs). Therefore, presentation attack detection (PAD) methods are of utmost importance in order to distinguish between bona fide and attack presentations. Owing to the nearly unlimited possibilities to create new presentation attack instruments (PAIs), unknown attacks are a threat to the existing PAD algorithms. This fact motivates research on generalisation capabilities in order to find PAD methods that are resilient to new attacks. In this context, the authors evaluate the generalisability of multiple PAD algorithms on a dataset of 19,711 bona fide and 4339 PA samples, including 45 different PAI species. The PAD data is captured in the short wave infrared domain, and the results discuss the advantages and drawbacks of this PAD technique regarding unknown attacks.
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spelling doaj-art-19ccb7e0840a4fc7a899d50bbf6b4e2c2025-08-20T02:02:05ZengWileyIET Biometrics2047-49382047-49462021-07-0110435937310.1049/bme2.12020On the generalisation capabilities of fingerprint presentation attack detection methods in the short wave infrared domainJascha Kolberg0Marta Gomez‐Barrero1Christoph Busch2da/sec – Biometrics and Internet Security Research Group Hochschule Darmstadt Darmstadt GermanyDatenschutz und IT‐Sicherheit Hochschule Ansbach Ansbach Germanyda/sec – Biometrics and Internet Security Research Group Hochschule Darmstadt Darmstadt GermanyAbstract Nowadays, fingerprint‐based biometric recognition systems are becoming increasingly popular. However, in spite of their numerous advantages, biometric capture devices are usually exposed to the public and thus vulnerable to presentation attacks (PAs). Therefore, presentation attack detection (PAD) methods are of utmost importance in order to distinguish between bona fide and attack presentations. Owing to the nearly unlimited possibilities to create new presentation attack instruments (PAIs), unknown attacks are a threat to the existing PAD algorithms. This fact motivates research on generalisation capabilities in order to find PAD methods that are resilient to new attacks. In this context, the authors evaluate the generalisability of multiple PAD algorithms on a dataset of 19,711 bona fide and 4339 PA samples, including 45 different PAI species. The PAD data is captured in the short wave infrared domain, and the results discuss the advantages and drawbacks of this PAD technique regarding unknown attacks.https://doi.org/10.1049/bme2.12020computer crimefingerprint identificationgeneralisation (artificial intelligence)
spellingShingle Jascha Kolberg
Marta Gomez‐Barrero
Christoph Busch
On the generalisation capabilities of fingerprint presentation attack detection methods in the short wave infrared domain
IET Biometrics
computer crime
fingerprint identification
generalisation (artificial intelligence)
title On the generalisation capabilities of fingerprint presentation attack detection methods in the short wave infrared domain
title_full On the generalisation capabilities of fingerprint presentation attack detection methods in the short wave infrared domain
title_fullStr On the generalisation capabilities of fingerprint presentation attack detection methods in the short wave infrared domain
title_full_unstemmed On the generalisation capabilities of fingerprint presentation attack detection methods in the short wave infrared domain
title_short On the generalisation capabilities of fingerprint presentation attack detection methods in the short wave infrared domain
title_sort on the generalisation capabilities of fingerprint presentation attack detection methods in the short wave infrared domain
topic computer crime
fingerprint identification
generalisation (artificial intelligence)
url https://doi.org/10.1049/bme2.12020
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AT martagomezbarrero onthegeneralisationcapabilitiesoffingerprintpresentationattackdetectionmethodsintheshortwaveinfrareddomain
AT christophbusch onthegeneralisationcapabilitiesoffingerprintpresentationattackdetectionmethodsintheshortwaveinfrareddomain