Automatic Face Detection Using Color Based Segmentation
Yogesh Tayal, Ruchika Lamba, Subhransu Padhee · 2012
Abstract- Because of the increasing instances of identity theft and terrorism incidences in past few years, biometrics based security system has been an area of quality research. Modern day biometrics is a cutting edge technology which enables the automated system to distinguish between a genuine person and an imposter. Automated face recognition is one of the areas of biometrics which is widely used because of the uniqueness of one human face to other human face. Automated face recognition has basically two parts one is face detection and other one is recognition of detected faces. To detect a face from an online surveillance system or an offline image, the main component that should be detected is the skin areas. This paper proposes a skin based segmentation algorithm for face detection in color images with detection of multiple faces and skin regions. Skin color has proven to be a useful and robust cue for face detection, localization and tracking.