• RATNESH RAI
• SANDEEP SINGH
• ARUN KUMAR MISHRA

Modern Image Processing methods can be utilized in a number of applications to solve varied problems. Combined with Machine learning and classification techniques they can be used to automate several applications. Teledermatalogy is one such application which solves the problem of manual detection and identification of diseases. Due to lack of adequate medical facilities in a developing country like India with huge population, its sometimes not possible to provide timely medication, especially in some common skin diseases which lead to them become chronic. In this research paper, a method has been proposed to identify and detect three common skin diseases prevalent in India viz. Acne, Eczema and Psoriasis. The proposed system uses Support Vector Machine algorithm to classify the diseases and reaches up to 87% accuracy. Keywords— Skin Disease, acne, eczema, psoriasis, classification.

Skin Disease, acne, eczema, psoriasis, classification.

"CLASSIFICATION OF SKIN DISEASE FOR TELEDERMATOLOGY USING IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.c200-c206, April-2022, Available :http://www.jetir.org/papers/JETIR2204228.pdf

"CLASSIFICATION OF SKIN DISEASE FOR TELEDERMATOLOGY USING IMAGE PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppc200-c206, April-2022, Available at : http://www.jetir.org/papers/JETIR2204228.pdf