Gray Level Based Face Detection Using Template Face Mask and L1 norm

In today’s world, importance of biometric studies is increasing day by day. Biometric face recognition study is the most widely used method in the legal environment. Commonly, face image uses in all identification (IDs, driver’s license, passport, etc.). In particularly, to improve the social security of city life, automatic face detection and face recognition systems are needed and there is a lot of study for this purpose. So we developed a template matching method and performed to obtain face image from entrance picture. Average face mask was obtained using hundred people normalized face image. Face mask has been applied to entrance picture and the shortest distance part of the entrance picture matched the face mask. When applying of the face mask to entrance picture, corner detection and difference matrix methods performed together improving the achievement. In additionally, entrance picture background, luminance conditions have the negative effect that has been tried to choose simple background entrance picture. Realized in our study could be based for further study on face detection-face identification. In addition, the system could be developing further using the artificial intelligence (AI) methods.