• Sakshi Yadav
• Samraddhi Singh

Skin Disorders are one of the diseases that are widely spread around the world that can occur in people of all ages. Their diagnosis has been made possible with the help of advanced medical technologies. The cost of such diagnosis is very limited and expensive which makes it impossible for people those who cannot spend high fees for their treatment. This paper has been proposed due to the lack of medical facilities and high cost requirement for the treatment ,the patients may need to wait which in turn may increases the severity/infection of the disease so to avoid this their early detection is must. This paper presents a skin disease detection system using image processing and deep learning . This system is accessible even in remote areas where dermatologists are limited or not available. The system is very easy to use, the only thing the patient has to do is to upload the picture of the infected area of the skin as an input to the prototype. The proposed system consists of three phases- feature detection, feature extraction and the feature match(comparison with database). Initially, the skin image is processed to detect it’s inliers and outliers features and then it’s description using ORB(Oriented FAST and Rotated BRIEF)and RANSAC(Random Sample Consensus). Finally, by using BRUTEFORCE HAMMING method, the matching of image features is performed, identifies the disease and displays the result. Here deep learning method is used to train the system with various skin disease images and then helps in classification of skin diseases. Our approach is very simple, fast and do not require any expensive technology other than camera and computer.

Skin Disease, Skin disease detection, Image processing, Deep learning, Oriented Fast and Rotated Brief(ORB), Brute-force hamming, Inliers, outliers, RANSAC(Random Sample Consensus).

"Skin Disease Detection System Technologies Using Image Processing And Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.h740-h746, May-2022, Available :http://www.jetir.org/papers/JETIR2205897.pdf

"Skin Disease Detection System Technologies Using Image Processing And Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. pph740-h746, May-2022, Available at : http://www.jetir.org/papers/JETIR2205897.pdf