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Utility-based performance evaluation of biometric sample quality assessment algorithms

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dc.contributor.authorOlaf Henniger, Biying Fu and Cong Chen
dc.contributor.editorBrömme, Arslan
dc.contributor.editorDamer, Naser
dc.contributor.editorGomez-Barrero, Marta
dc.contributor.editorRaja, Kiran
dc.contributor.editorRathgeb, Christian
dc.contributor.editorSequeira Ana F.
dc.contributor.editorTodisco, Massimiliano
dc.contributor.editorUhl, Andreas
dc.date.accessioned2022-10-27T10:19:26Z
dc.date.available2022-10-27T10:19:26Z
dc.date.issued2022
dc.description.abstractThe quality score of a biometric sample is expected to predict the sample’s utility, but a universally valid definition of utility is missing. A harmonized definition of utility would be useful to facilitate the comparison of biometric sample quality assessment algorithms. This paper generalizes the utility of a biometric sample as normalized difference between the means of non-mated and mated comparison scores with respect to this sample. Using a face image data set, we show that discarding samples with low utility scores determined in this way results in a rapidly declining false non-match rate. The obtained utility scores can be used as ground-truth utility labels for training biometric sample quality assessment algorithms and for summarizing their prediction performance in a single plot and in a single figure of merit based on the proposed utility score definition.en
dc.identifier.doi10.1109/BIOSIG55365.2022.9897037
dc.identifier.isbn978-3-88579-723-4
dc.identifier.pissn1617-5478
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/39687
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2022
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-329
dc.subjectBiometric sample quality assessment
dc.subjectperformance evaluation
dc.subjectground truth
dc.titleUtility-based performance evaluation of biometric sample quality assessment algorithmsen
dc.typeText/Conference Paper
gi.citation.endPage121
gi.citation.publisherPlaceBonn
gi.citation.startPage112
gi.conference.date14.-16. September 2022
gi.conference.locationDarmstadt
gi.conference.sessiontitleRegular Research Papers

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P329 - BIOSIG 2022 - Proceedings of the 21st International Conference of the Biometrics Special Interest Group