Face Location and Detection Algorithm Based on Skin Color and Binary Morphology

The face location and detection algorithm based on skin color and binary morphology was proposed in this paper.The HSV (Hue-Saturation-Value) model and YCrCb (Brightness-Value-Saturation) model are applied to the face skin detection in this detection algorithm,and these models can detect and judge every pixel of image which belongs to human body region or background region according to the color value.Simultaneously,the image can be converted into the binary image by the threshold method,and be processed by the binary morphology algorithm.Finally,the connected region which is screened can be decided by the geometric features of human face,and the face can be located and detected accurately.Hence,the face location and detection algorithm based on skin color and binary morphology consists of three steps,which are the skin color detection,the morphological operation and the geometric features of distinguish.The experimental results show the algorithm can improve the accuracy of face detection and speed up the recognition speed of face location and detection.