Skin Detection for Face Recognition Based on HSV Color Space

Skin color has proven to be a useful and robust cue for face detection, localization and tracking. Image content filtering, content aware video compression and image color balancing applications can also benefit from automatic detection of skin in images. Numerous techniques for skin color modelling and recognition have been proposed during several past years. This work describes an implementation for skin detection which relies on the H channel to characterize the skin color range. The open Cv library is used for image processing. The program initially converts RGB images to HSV one. The H channel is used to characterize the color range for skin detection. To illustrate the approach we compare this with others. However, a comprehensive survey on the topic is still missing. We try to fill this vacuum by reviewing most widely used methods and techniques and collecting their numerical evaluation results.