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Fingerprint Damage Localizer and Detector of Skin Diseases from Fingerprint Images
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Datum
2017
Autor:innen
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Quelle
BIOSIG 2017
Further Conference Contributions
Verlag
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.