A Method of Face Detection Based On Improved YCBCR Skin Color Model
Jihui Fan, Hongxing Wang · Advances in engineering research/Advances in Engineering Research · 2016
Face detection is a key technology in the information processing field of face recognition.The paper proposes a new face detection method to detect the human face.According to the clustering characteristics of Cb and Cr to detect the skin-color, then the image is labeled.The paper summarizes and presents a localization ears algorithm of human face.It also presents a method to locate the human chin based on the center line of pixel gray [CLPG].The two methods can remove the interference of the ear and neck region.Experimental results show that the method can detect face quickly and accurately in an image and provide a certain value for the study of face recognition.