Part Of Face Recognition Depending On Color And Texture

Abstract

Distinguishing the person and determining his identity is a very important matter when knowing part of his/her face. It is considered a great challenge because sometimes the cameras could not capture the entire face, but rather a part of it and this could be greatly useful in forensic science. This paper aims to identify and detect the identity of people that captured a part of the face by the cameras based on color and texture. In this work we relied mainly on extracting features of intersection the colors between the part of unknown person's image and the images of people into the database. Also, we depended on the texture feature by using Gray Level Gap Length Matrix (GLRLM) for the purpose of distinguishing and promising results were reached.