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.
