Fingerprint Damage Localizer and Detector of Skin Diseases from Fingerprint Images

dc.contributor.author	Barotova,Stepanka
dc.contributor.author	Drahansky,Martin
dc.contributor.editor	Brömme,Arslan
dc.contributor.editor	Busch,Christoph
dc.contributor.editor	Dantcheva,Antitza
dc.contributor.editor	Rathgeb,Christian
dc.contributor.editor	Uhl,Andreas
dc.date.accessioned	2017-09-26T09:21:01Z
dc.date.available	2017-09-26T09:21:01Z
dc.date.issued	2017
dc.identifier.isbn	978-3-88579-664-0
dc.identifier.issn	1617-5468
dc.identifier.uri	http://dl.gi.de/handle/20.500.12116/4658
dc.description.abstract	This 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.language.iso	en
dc.publisher	Gesellschaft für Informatik, Bonn
dc.relation.ispartof	BIOSIG 2017
dc.relation.ispartofseries	Lecture Notes in Informatics (LNI) - Proceedings, Volume P-70
dc.subject	Fingerprint recognition
dc.subject	skin diseases
dc.subject	image processing
dc.subject	image quality
dc.title	Fingerprint Damage Localizer and Detector of Skin Diseases from Fingerprint Images	en
mci.reference.pages	267-274
mci.conference.sessiontitle	Further Conference Contributions
mci.conference.location	Darmstadt, Germany
mci.conference.date	20.-22. September 2017