A Model for Classification and Diagnosis of Skin Disease using Machine Learning and Image Processing Techniques

Skin diseases are a global health problem that is difficult to diagnose sometimes due the disease’s complexity, and time-consuming effort. In addition fact skin affect human health, it also affects psycho-social life if not diagnosed controlled early. The enhancement of images processing techniques machine learning leads an effective fast diagnosis help detect disease This paper presents model takes image affected by acne, cherry angioma, melanoma, psoriasis. proposed composed five steps, i.e., acquisition, preprocessing, segmentation, feature extraction, classification. using algorithms for evaluating model, Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbor (K-NN) classifiers, achieved 90.7%, 84.2%, 67.1%, respectively. Also, SVM classifier result was compared with other papers, mostly model’s better. contrast, one accuracy 100%.