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Analysing Distributions of Feature Similarities in the Context of Digital Anthropometric Pattern Matching Probability

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dc.contributor.authorHeinke, Florian
dc.contributor.authorHeuschkel, Marie-Luise
dc.contributor.authorLabudde, Dirk
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:32Z
dc.date.available2023-11-29T14:50:32Z
dc.date.issued2023
dc.description.abstractDigital anthropometric pattern matching encompasses biometric identification on the basis of a combination of anthropometric measurements depicting the proportions of the human body from image or video material. In a previous publication, maximum likelihood density estimation of distributions of anthropometric measurement distances allowed for estimation of the probability of a match to be in the order of 10−15 to 10−8. However, the underlying nature and cause of these distributions remained unclear. This work represents an enhancement allowing for an analytical description of these distributions by assuming multivariate normals as distributions models, and by estimating distribution parameters that subsequently allow reasonable probability approximations. Thus the methodological groundwork presented here contributes to the evaluation of the probability for obtaining a match.en
dc.identifier.doi10.18420/inf2023_68
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43190
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectBiometric features
dc.subjectanthropometric measurements
dc.subjectfeature matching probability
dc.titleAnalysing Distributions of Feature Similarities in the Context of Digital Anthropometric Pattern Matching Probabilityen
dc.typeText/Conference Paper
gi.citation.endPage582
gi.citation.publisherPlaceBonn
gi.citation.startPage573
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleCybersecurity & Privatsphäre - 3. International Workshop on Digital Forensics / IWDF3

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P337 - INFORMATIK 2023 - Designing Futures: Zukünfte gestalten