Nail Disease Detector

Abstract

In traditional system of disease detection doctors observe the nails of patients and then predict the disease. It requires more time and the prediction is not much accurate, because human eyes cannot differentiate the slight change in colour. Recognizing nail diseases still remains an unexplored and a challenging endeavour in itself. So to overcome this problem we designed a new system called Nail Disease Detector helps us to create a model which can perform the analysis of human nail and thereby help us in predicting diseases which will give better result in less time. The framework uses a Convolutional Neural Network (CNNs) [Alex Net] for feature extraction and classification that are performed using Matlab tools can be regarded as the basis for determining the kind of disease. The dataset of the images can be observed and verified utilizing the image colour and texture analysis methods.