Abstract:
One of the key parts of a human face is head and hair. Hair makes a face shine out more and any
problems on the scalp and baldness can cause Anxiety and stress. Anxiety and stress are one of the
causes of balding and other scalp problems which in turn is a vicious cycle. Being able to find out
if people have these scalp diseases and if they are balding at the comfort of their own home is
important. It can begin at any stage in life and can affect teens as well as adults. Although many
Male Pattern Baldness is discussed highly, Female Pattern Baldness is not as highly discussed
although it is also predominant.
To tackle this problem, an image processing system using convolutional neural networks (CNNs)
for image classification. By preprocessing images and enhancing feature extraction a model is
trained to check for different scalp diseases such as alopecia areata, dandruff. Different
architectures and different methodologies will also be attempted to see the benefits of each in
aspect to these detections. A minimum of 3 types of models were tested for each of those different
detection types.
