| dc.contributor | Bernhard Kohn, Bernhard Strobl and Gustavo Fernandez Dominguez | |
| dc.contributor.author | Axel Weissenfeld, Reinhard Schmid | |
| dc.contributor.editor | Brömme, Arslan | |
| dc.contributor.editor | Damer, Naser | |
| dc.contributor.editor | Gomez-Barrero, Marta | |
| dc.contributor.editor | Raja, Kiran | |
| dc.contributor.editor | Rathgeb, Christian | |
| dc.contributor.editor | Sequeira Ana F. | |
| dc.contributor.editor | Todisco, Massimiliano | |
| dc.contributor.editor | Uhl, Andreas | |
| dc.date.accessioned | 2022-10-27T10:19:26Z | |
| dc.date.available | 2022-10-27T10:19:26Z | |
| dc.date.issued | 2022 | |
| dc.identifier.isbn | 978-3-88579-723-4 | |
| dc.identifier.issn | 1617-5479 | |
| dc.identifier.uri | http://dl.gi.de/handle/20.500.12116/39688 | |
| dc.description.abstract | Biometric 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.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | BIOSIG 2022 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-329 | |
| dc.subject | fingerprint | |
| dc.subject | contactless devices | |
| dc.subject | mobile devices | |
| dc.subject | police use case | |
| dc.title | Case study of the acquisition of contactless fingerprints in a real police setting | en |
| dc.type | Text/Conference Paper | |
| dc.pubPlace | Bonn | |
| mci.reference.pages | 122-130 | |
| mci.conference.sessiontitle | Regular Research Papers | |
| mci.conference.location | Darmstadt | |
| mci.conference.date | 14.-16. September 2022 | |
| dc.identifier.doi | 10.1109/BIOSIG55365.2022.9897060 | |