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Psoriasis Damage Simulation into Synthetic Fingerprint

dc.contributor.authorKanich, Ondřej
dc.contributor.authorKošťák, Davis
dc.contributor.authorDrahanský, Martin
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.contributor.editorDantcheva, Antitza
dc.contributor.editorRathgeb, Christian
dc.contributor.editorUhl, Andreas
dc.date.accessioned2020-09-15T13:01:27Z
dc.date.available2020-09-15T13:01:27Z
dc.date.issued2019
dc.identifier.isbn978-3-88579-690-9
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/34231
dc.description.abstractThe goal of this article is to describe method for simulation of damage done by psoriasis. Designed method is based on extracting subjects from real images and then including them into synthetic images. Images are damaged by six different settings. Each setting represents different level of disease severity. Results were verified by visual comparison with real images, consultation with medical doctor, quality measurement methods (NFIQ, FiQiVi), and comparison score (VeriFinger). The most severe damage achieved median score of 38 % (from the reference).en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2019 - Proceedings of the 18th International Conference of the Biometrics Special Interest Group
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-297
dc.subjectsynthetic fingerprint
dc.subjectpsoriasis
dc.subjectskin diseases
dc.subjectdamage simulation
dc.subjectmachine learning
dc.titlePsoriasis Damage Simulation into Synthetic Fingerprinten
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages205-212
mci.conference.sessiontitleFurther Conference Contributions
mci.conference.locationDarmstadt, Germany
mci.conference.date18.-20. September 2019


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