@article{1440,
  author = {Serdar Yilmaz, Metin Salhmuhsn},
  title = {Face Detection Using Template Face Mask},
  journal = {Journal of Multimedia Processing and Technologies},
  year = {2013},
  volume = {4},
  number = {4},
  doi = {},
  url = {http://www.dline.info/jmpt/fulltext/v4n4/3.pdf},
  abstract = {In today’s world, the 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 images are used in all identification systems(IDs, driver’s license, passport, etc.). In particular, to improve the social security of city life, automatic face detection and face recognition systems are needed. Many studies are published in this domain now. So we developed a template matching method and performed to obtain face image from entrance picture. Average face mask was obtained using hundreds of people’ normalized face images. Face mask has been applied to entrance picture and the shortest distance part of the entrance picture has matched the face mask. When applying of the face mask to entrance picture, corner detection and difference matrix methods are performed together improving the achievement. In addition, entrance picture background, luminance conditions have the negative effect that has been tried to choose simple background entrance picture. We realized in our study that it could be base for further studies on face detection-face identification. In addition, the system could be developed further using the artificial intelligence (AI) methods.},
}