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The influence of dataset quality on the results of behavioural biometric experiments

dc.contributor.authorKasprowski, Pawel
dc.contributor.authorRigas, Ioannis
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2018-10-31T12:33:58Z
dc.date.available2018-10-31T12:33:58Z
dc.date.issued2013
dc.description.abstractThis paper explores some aspects that are involved during the construction of reliable benchmark sample databases for novel behavioral biometric identification methods, such as the data quality, the recording patterns and the post processing procedures that may be applied on the data. A large collection of eye movement samples was employed as a test case. It was recorded under a variety of settings and processed with a number of different approaches. Our analysis reveals that there are specific features during the construction of a database that may significantly influence the final identification performance. It also leads on the establishment of some guidelines, which can be generalized on other behavioral biometric methods, regarding the factors that should be taken into consideration during the creation, the description and the processing of a database of biometric samples.en
dc.identifier.isbn978-3-88579-606-0
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/17671
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2013
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-212
dc.titleThe influence of dataset quality on the results of behavioural biometric experimentsen
dc.typeText/Conference Paper
gi.citation.endPage224
gi.citation.publisherPlaceBonn
gi.citation.startPage217
gi.conference.date04.-06. September 2013
gi.conference.locationDarmstadt
gi.conference.sessiontitleRegular Research Papers

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