Research On Application Of Skin Color And Template Matching In Face Detection System

Human face detection is to locate the faces and determine their size, position and amount in an image.As the first step of person identification, human-computer interface, intelligent scene supervision system , face detection has been paid much attention and became a very active researeh branch in pattern recognition and computer vision application areas with its significant value in recent years.In this thesis , a face detection system based on certain project is built to detect single face in color image with simple background which integrates the skin color segmentation, face template matching and region optimization .In addition, the detection to multiple faces in color image with complex background is discussed too.The main contributions are as follows :Firstly , we introduce the face detection's background and status in quo resumptively. The main classification of detection method is enumerated too. Human face detection problem has been intensively researched as an independent problem because of its importance in many applicative fields.Then the thesis discuss the skin's performance in difference chrominance space in the discussion of skin color model.The YCbCr information is used to construct the Gaussian Model for skin color and get the likely region of face ,then skin color segmentation is carry out with the method of dynamic threshold optimizing according to the Fisher criterion .Some methods are used to filtrate the skin regions according to morphological and general knowledge of human face.The error regions can be eliminated and the candidate face areas can be obtained.Finally , the average face template and flexible template matching are used to verify whether the probable face area is a face indeed , and the final detection result will be obtained .The Experimental results show that the system is feasible and effective .