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Fingerprint Damage Localizer and Detector of Skin Diseases from Fingerprint Images
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2017
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Gesellschaft für Informatik, Bonn
Zusammenfassung
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.