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Fingerprint Damage Localizer and Detector of Skin Diseases from Fingerprint Images

dc.contributor.authorBarotova,Stepanka
dc.contributor.authorDrahansky,Martin
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.abstractThis article describes a novel approach for detection and classification of skin diseases in fingerprints using three methods - Block Orientation Field, Histogram Analysis and Flood Fill. The combination of these methods brings a surprising results and using a rule descriptor for selected skin diseases, we are able to classify the disease into a group or concrete name.en
dc.identifier.isbn978-3-88579-664-0
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/4658
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofBIOSIG 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-70
dc.subjectFingerprint recognition
dc.subjectskin diseases
dc.subjectimage processing
dc.subjectimage quality
dc.titleFingerprint Damage Localizer and Detector of Skin Diseases from Fingerprint Imagesen
gi.citation.endPage274
gi.citation.startPage267
gi.conference.date20.-22. September 2017
gi.conference.locationDarmstadt, Germany
gi.conference.sessiontitleFurther Conference Contributions

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