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dc.contributorBernhard Kohn, Bernhard Strobl and Gustavo Fernandez Dominguez
dc.contributor.authorAxel Weissenfeld, Reinhard Schmid
dc.contributor.editorBrömme, Arslan
dc.contributor.editorDamer, Naser
dc.contributor.editorGomez-Barrero, Marta
dc.contributor.editorRaja, Kiran
dc.contributor.editorRathgeb, Christian
dc.contributor.editorSequeira Ana F.
dc.contributor.editorTodisco, Massimiliano
dc.contributor.editorUhl, Andreas
dc.date.accessioned2022-10-27T10:19:26Z
dc.date.available2022-10-27T10:19:26Z
dc.date.issued2022
dc.identifier.isbn978-3-88579-723-4
dc.identifier.issn1617-5479
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/39688
dc.description.abstractBiometric recognition systems integrated into mobile devices have gained acceptance during recent years. Developments in fingerprint acquisition technology have resulted in touchless mobile devices that acquire high quality fingerprints. While authorities are particular interested on mobile solutions, they have databases containing fingerprint data mainly acquired using contactbased devices. Therefore, they are interested in the accuracy of cross-sensor fingerprint recognition. We present a case study of a comprehensive matching comparison on real fingerprint data acquired by national police officers. The objective of this study is: (i) to analyse the feasibility when comparing data acquired using a typical contact-based fingerprint device against data acquired using a new contactless device, and (ii) the feedback of the end user (i.e. national police officers) regarding the acquisition process. Obtained results are promising and the current prototype shows its feasibility for operational police use. The end users expressed their satisfaction with the developed prototype and they suggested extra functionalities towards a practical solution for police officers.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2022
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-329
dc.subjectfingerprint
dc.subjectcontactless devices
dc.subjectmobile devices
dc.subjectpolice use case
dc.titleCase study of the acquisition of contactless fingerprints in a real police settingen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages122-130
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationDarmstadt
mci.conference.date14.-16. September 2022
dc.identifier.doi10.1109/BIOSIG55365.2022.9897060


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