International Journal of Web Applications, cilt.2, ss.243-249, 2010 (Diğer Kurumların Hakemli Dergileri)
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.