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dc.date.accessioned2018-05-09T09:20:37Z
dc.date.available2018-05-09T09:20:37Z
dc.date.created2018-01-21T17:58:51Z
dc.date.issued2017
dc.identifier.citationVishi, Kamer Mavroeidis, Vasileios . An Evaluation of Score Level Fusion Approaches for Fingerprint and Finger-vein Biometrics. Norsk Informasjonssikkerhetskonferanse (NISK). 2017, 10(1)
dc.identifier.urihttp://hdl.handle.net/10852/61652
dc.description.abstractBiometric systems have to address many requirements, such as large population coverage, demographic diversity, varied deployment environment, as well as practical aspects like performance and spoofing attacks. Traditional unimodal biometric systems do not fully meet the aforementioned requirements making them vulnerable and susceptible to different types of attacks. In response to that, modern biometric systems combine multiple biometric modalities at different fusion levels. The fused score is decisive to classify an unknown user as a genuine or impostor. In this paper, we evaluate combinations of score normalization and fusion techniques using two modalities (fingerprint and finger-vein) with the goal of identifying which one achieves better improvement rate over traditional unimodal biometric systems. The individual scores obtained from finger-veins and fingerprints are combined at score level using three score normalization techniques (min-max, z-score, hyperbolic tangent) and four score fusion approaches (minimum score, maximum score, simple sum, user weighting). The experimental results proved that the combination of hyperbolic tangent score normalization technique with the simple sum fusion approach achieve the best improvement rate of 99.98%.en_US
dc.languageEN
dc.titleAn Evaluation of Score Level Fusion Approaches for Fingerprint and Finger-vein Biometricsen_US
dc.typeJournal articleen_US
dc.creator.authorVishi, Kamer
dc.creator.authorMavroeidis, Vasileios
cristin.unitcode185,15,0,0
cristin.unitnameDet matematisk-naturvitenskapelige fakultet
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1548644
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Norsk Informasjonssikkerhetskonferanse (NISK)&rft.volume=10&rft.spage=&rft.date=2017
dc.identifier.jtitleNorsk Informasjonssikkerhetskonferanse (NISK)
dc.identifier.volume10
dc.identifier.issue1
dc.identifier.pagecount11
dc.identifier.urnURN:NBN:no-64261
dc.type.documentTidsskriftartikkelen_US
dc.type.peerreviewedPeer reviewed
dc.source.issn1893-6563
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/61652/2/VM2017_NISK.pdf
dc.type.versionPublishedVersion


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