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dc.contributor.authorDrozdowski, Pawel
dc.contributor.authorMokroß, Benedikt-Alexander
dc.contributor.authorRathgeb, Christian
dc.contributor.authorBusch, Christoph
dc.date.accessioned2020-03-05T12:27:19Z
dc.date.available2020-03-05T12:27:19Z
dc.date.created2020-03-03T08:24:32Z
dc.date.issued2020
dc.identifier.issn2637-6407
dc.identifier.urihttp://hdl.handle.net/11250/2645493
dc.description.abstractThe growing scale and number of biometric deployments around the world necessitates research into technologies which facilitate fast identification queries and high discriminative power. In this context, this article presents a biometric identification system which relies on a successive pre-filtering of the potential candidate list using multiple biometric modalities, coupled with a weighted score-level information fusion. The proposed system is evaluated in a series of experiments using a compound dataset constructed from several publicly available datasets; an open-set identification scenario is considered with the enrolment database containing 1,000 chimeric instances. This evaluation shows that the proposed system exhibits a significantly increased biometric performance w.r.t. a weighted score-level or rank-level fusion based baseline, while simultaneously providing a consequential computational workload reduction in terms of penetration rate. Lastly, it is worth noting that the proposed system could be flexibly employed in any multi-biometric identification system, irrespective of the chosen types of biometric characteristics and the encoding of their extracted features.nb_NO
dc.language.isoengnb_NO
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)nb_NO
dc.titleMulti-biometric Identification with Cascading Database Filteringnb_NO
dc.typeJournal articlenb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.journalIEEE Transactions on Biometrics, Behavior, and Identity Sciencenb_NO
dc.identifier.doihttps://doi.org/10.1109/TBIOM.2020.2977215
dc.identifier.cristin1799121
dc.description.localcode© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
cristin.unitcode194,63,30,0
cristin.unitnameInstitutt for informasjonssikkerhet og kommunikasjonsteknologi
cristin.ispublishedtrue
cristin.fulltextpostprint


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