  This paper presents a novel technique for skin colour segmentation that
overcomes the limitations faced by existing techniques such as Colour Range
Thresholding. Skin colour segmentation is affected by the varied skin colours
and surrounding lighting conditions, leading to poorskin segmentation for many
techniques. We propose a new two stage Pixel Neighbourhood technique that
classifies any pixel as skin or non-skin based on its neighbourhood pixels. The
first step calculates the probability of each pixel being skin by passing HSV
values of the pixel to a Deep Neural Network model. In the next step, it
calculates the likeliness of pixel being skin using these probabilities of
neighbouring pixels. This technique performs skin colour segmentation better
than the existing techniques.
