Logo des Repositoriums
 

Biometric System for Mobile Validation of ID And Travel Documents

dc.contributor.authorMedvedev, V
dc.contributor.authorGonçalves, Nuno
dc.contributor.authorCruz, Leandro
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorDantcheva, Antitza
dc.contributor.editorRaja, Kiran
dc.contributor.editorRathgeb, Christian
dc.contributor.editorUhl, Andreas
dc.date.accessioned2020-09-16T08:25:50Z
dc.date.available2020-09-16T08:25:50Z
dc.date.issued2020
dc.description.abstractCurrent trends in security of ID and travel documents require portable and efficient validation applications that rely on biometric recognition. Such tools can allow any authority and citizen to validate documents and authenticate citizens with no need of expensive and sometimes unavailable proprietary devices. In this work, we present a novel, compact and efficient approach of validating ID and travel documents for offline mobile applications. The approach employs the in-house biometric template that is extracted from the original portrait photo (either full frontal or token frontal), and then stored on the ID document with use of a machine readable code (MRC). The ID document can then be validated with a developed application on a mobile device with digital camera. The similarity score is estimated with use of an artificial neural network (ANN). Results show that we achieve validation accuracy up to 99.5% with corresponding false match rate = 0.0047 and false non-match rate = 0.00034.en
dc.identifier.isbn978-3-88579-700-5
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34346
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-306
dc.subjectDocument security
dc.subjectbiometric template
dc.subjectactive appearance model
dc.subjectartificial neural network.
dc.titleBiometric System for Mobile Validation of ID And Travel Documentsen
dc.typeText/Conference Paper
gi.citation.endPage76
gi.citation.publisherPlaceBonn
gi.citation.startPage67
gi.conference.date16.-18. September 2020
gi.conference.locationInternational Digital Conference
gi.conference.sessiontitleRegular Research Papers

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
BIOSIG_2020_paper_42_update.pdf
Größe:
4.25 MB
Format:
Adobe Portable Document Format