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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| Format: | Article |
| Language: | English |
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Wiley
2021-07-01
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| Series: | IET Biometrics |
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| Online Access: | https://doi.org/10.1049/bme2.12020 |
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| _version_ | 1850236006732660736 |
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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. |
| format | Article |
| id | doaj-art-19ccb7e0840a4fc7a899d50bbf6b4e2c |
| institution | OA Journals |
| issn | 2047-4938 2047-4946 |
| language | English |
| publishDate | 2021-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Biometrics |
| 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 |
| work_keys_str_mv | AT jaschakolberg onthegeneralisationcapabilitiesoffingerprintpresentationattackdetectionmethodsintheshortwaveinfrareddomain AT martagomezbarrero onthegeneralisationcapabilitiesoffingerprintpresentationattackdetectionmethodsintheshortwaveinfrareddomain AT christophbusch onthegeneralisationcapabilitiesoffingerprintpresentationattackdetectionmethodsintheshortwaveinfrareddomain |