Skin Disease Detection Using Support Vector Machine Algorithm

Skin Disease Detection Using Support Vector Machine Algorithm.

Assistant professor Suresh.V.Reddy¹, Vaishali.N.Shitole², Madhavi Dhanawade³, Rutuja Ware⁴

Manali Kadam⁵

¹Assistant Professor of Computer Engineering, suman Ramesh Tulsiani

Technical Campus Faculty of Engineering Kamshet, India

²Pursuing Bachelor of Computer Engineering, Suman Ramesh Tulsiani

Technical Campus Faculty of Engineering Kamshet , India

³ Pursuing Bachelor of Computer Engineering, Suman Ramesh Tulsiani

Technical Campus Faculty of Engineering Kamshet, India

⁴Pursuing Bachelor of Computer Engineering, Suman Ramesh Tulsiani

Technical Campus Faculty of Engineering Kamshet, India

⁵Pursuing Bachelor of Computer Engineering, Suman Ramesh Tulsiani

Technical Campus Faculty of Engineering Kamshet, India

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Abstract - Skin disease is common disease than other disease .some skin problems affect the skin. and  some skin disease are normal .some skin disease are genetic but some skin disease are fungal infections. there are so many techniques available to detect the skin problems but they are so expensive .and some of the people can not afford it.    This work contributes in the research of skin disease detection. We proposed an image processing-and svm algorithm based method to detect skin diseases. This method takes the image of disease then use image analysis to identify the type of disease. Our proposed system is simple, fast and does not require expensive equipment other than a camera and a computer. first user will upload the image of the affected area of skin then our system will work on it will first resize the image and extract the features of image .and after that image will go for classification which is done by using SVM algorithm.  after that system will show the predictions to the user and. predict the name of the disease to the user. and it will show care to be taken for the skin.

Key Words: image processing, Machine Learning, Support Vector Machine, Skin Detection.