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Minutiae-based Finger Vein Recognition Evaluated with Fingerprint Comparison Software

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dc.contributor.authorCastillo-Rosado, Katy
dc.contributor.authorLinortner, Michael
dc.contributor.authorUhl, Andreas
dc.contributor.authorMendez-Vasquez, Heydi
dc.contributor.authorHernandez-Palancar, José
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.accessioned2020-09-16T08:25:46Z
dc.date.available2020-09-16T08:25:46Z
dc.date.issued2020
dc.description.abstractFinger vein recognition is a biometric authentication technique based on the vein patterns of human fingers. Despite the fact that classical approaches are based on correlation, the topology of vein patterns allows the use of minutiae points for their representation. Minutiae points are the most used features for representing ridge patterns in fingerprints. In literature, it has been shown that minutiae can be used for finger vein comparison, but low image quality provokes that many spurious minutiae are extracted from them. In this work, a preprocessing method is presented, that combines classical digital image processing methods and level set theory in order to extract a set with the most reliable minutiae. The experiments were performed on two publicly available databases and different comparison methods were used for testing the representative character of the minutiae set extracted. The results showed that even though the amount of extracted minutiae is around 15-30, effective identification is possible.en
dc.identifier.isbn978-3-88579-700-5
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34331
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.subjectFinger veins
dc.subjectminutiae
dc.subjectrecognition
dc.titleMinutiae-based Finger Vein Recognition Evaluated with Fingerprint Comparison Softwareen
dc.typeText/Conference Paper
gi.citation.endPage230
gi.citation.publisherPlaceBonn
gi.citation.startPage223
gi.conference.date16.-18. September 2020
gi.conference.locationInternational Digital Conference
gi.conference.sessiontitleFurther Conference Contributions

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P306 - BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group