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Fusing Biometric Scores using Subjective Logic for Gait Recognition on Smartphone

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dc.contributor.authorWasnik,Pankaj
dc.contributor.authorSchäfer,Kirstina
dc.contributor.authorRaja,Kiran
dc.contributor.authorRamachandra,Raghavendra
dc.contributor.authorBusch,Christoph
dc.contributor.editorBrömme,Arslan
dc.contributor.editorBusch,Christoph
dc.contributor.editorDantcheva,Antitza
dc.contributor.editorRathgeb,Christian
dc.contributor.editorUhl,Andreas
dc.date.accessioned2017-09-26T09:21:01Z
dc.date.available2017-09-26T09:21:01Z
dc.date.issued2017
dc.description.abstractThe performance of a biometric system gets affected by various types of errors such as systematic errors, random errors, etc. These kinds of errors usually occur due to the natural variations in the biometric traits of subjects, different testing, and comparison methodologies. Neither of these errors can be easily quantifiable by mathematical formulas. This behavior introduces an uncertainty in the biometric verification or identification scores. The combination of comparison scores from different comparators or combination of multiple biometric modalities could be a better approach for improving the overall recognition performance of a biometric system. In this paper, we propose a method for combining such scores from multiple comparators using Subjective Logic (SL), as it takes uncertainty into account while performing to biometric fusion. This paper proposes a framework for a smartphone based gait recognition system with application of SL for biometric data fusion.en
dc.identifier.isbn978-3-88579-664-0
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/4659
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBIOSIG 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-70
dc.subjectsubjective logic
dc.subjectbiometric score fusion
dc.subjectgait recognition
dc.subjectsmartphone biometrics
dc.subjectuser verification
dc.subjectpattern recognition
dc.titleFusing Biometric Scores using Subjective Logic for Gait Recognition on Smartphoneen
gi.citation.endPage282
gi.citation.startPage275
gi.conference.date20.-22. September 2017
gi.conference.locationDarmstadt, Germany
gi.conference.sessiontitleFurther Conference Contributions

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P270 - BIOSIG 2017 - Proceedings of the 16th International Conference of the Biometrics Special Interest Group