Logo des Repositoriums
 

SIFT based fingerprint corepoint localization

dc.contributor.authorGoyal, Kunal
dc.contributor.authorMalekar, Rutvik
dc.contributor.authorJindal, Akhil
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2018-11-19T13:16:38Z
dc.date.available2018-11-19T13:16:38Z
dc.date.issued2012
dc.description.abstractThe detection of singular points (core and delta), accurately and reliably , is very important for classification and matching of fingerprints.This paper presents a new approach for core point detection based on Scale Invariant Feature Transform (SIFT) operation. Firstly, SIFT points are extracted, then reliability and ridge frequency criteria are applied to reduce the candidate point required to make a decision on the core point. Finally a suitable mask is applied to detect an accurate core point. Experiments on FVC2002 and FVC2004 database show that our approach locates a unique reference point with high accuracy.Results have been compared with existing methods in terms of accuracy of core point detection. To make the algorithm reliable, a simple point based matching has been implemented.en
dc.identifier.isbn978-3-88579-290-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/18312
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2012
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-196
dc.subjectBiometrics
dc.subjectFingerprint
dc.subjectCorepoint
dc.subjectSIFT
dc.titleSIFT based fingerprint corepoint localizationen
dc.typeText/Conference Paper
gi.citation.endPage374
gi.citation.publisherPlaceBonn
gi.citation.startPage363
gi.conference.date06.-07. September 2012
gi.conference.locationDarmstadt
gi.conference.sessiontitleRegular Research Papers

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
363.pdf
Größe:
474.51 KB
Format:
Adobe Portable Document Format