{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T07:33:27Z","timestamp":1781940807927,"version":"3.54.5"},"reference-count":49,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2022,1,20]],"date-time":"2022-01-20T00:00:00Z","timestamp":1642636800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Research Center for Applied Cybersecurity ATHENE","award":["01MT21005C"],"award-info":[{"award-number":["01MT21005C"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This work presents an automated contactless fingerprint recognition system for smartphones. We provide a comprehensive description of the entire recognition pipeline and discuss important requirements for a fully automated capturing system. In addition, our implementation is made publicly available for research purposes. During a database acquisition, a total number of 1360 contactless and contact-based samples of 29 subjects are captured in two different environmental situations. Experiments on the acquired database show a comparable performance of our contactless scheme and the contact-based baseline scheme under constrained environmental influences. A comparative usability study on both capturing device types indicates that the majority of subjects prefer the contactless capturing method. Based on our experimental results, we analyze the impact of the current COVID-19 pandemic on fingerprint recognition systems. Finally, implementation aspects of contactless fingerprint recognition are summarized.<\/jats:p>","DOI":"10.3390\/s22030792","type":"journal-article","created":{"date-parts":[[2022,1,20]],"date-time":"2022-01-20T22:51:06Z","timestamp":1642719066000},"page":"792","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Mobile Contactless Fingerprint Recognition: Implementation, Performance and Usability Aspects"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0985-7735","authenticated-orcid":false,"given":"Jannis","family":"Priesnitz","sequence":"first","affiliation":[{"name":"da\/sec\u2014Biometrics and Internet Security Research Group, Hochschule Darmstadt, Sch\u00f6fferstra\u00dfe 8b, 64295 Darmstadt, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rolf","family":"Huesmann","sequence":"additional","affiliation":[{"name":"UCS\u2014User-Centered Security Research Group, Hochschule Darmstadt, Sch\u00f6fferstra\u00dfe 8b, 64295 Darmstadt, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian","family":"Rathgeb","sequence":"additional","affiliation":[{"name":"da\/sec\u2014Biometrics and Internet Security Research Group, Hochschule Darmstadt, Sch\u00f6fferstra\u00dfe 8b, 64295 Darmstadt, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicolas","family":"Buchmann","sequence":"additional","affiliation":[{"name":"Fraunhofer AISEC, Breite Stra\u00dfe 12, 14199 Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9159-2923","authenticated-orcid":false,"given":"Christoph","family":"Busch","sequence":"additional","affiliation":[{"name":"da\/sec\u2014Biometrics and Internet Security Research Group, Hochschule Darmstadt, Sch\u00f6fferstra\u00dfe 8b, 64295 Darmstadt, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"e19623","DOI":"10.2196\/19623","article-title":"Fingerprint Biometric System Hygiene and the Risk of COVID-19 Transmission","volume":"5","author":"Okereafor","year":"2020","journal-title":"JMIR Biomed. 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