Silhouette - Based Face Recognation

Abstract

A silhouette face is representing the face as one solid shaped color, usually, the color is dark and removes every inline detail of the face but the silhouette’s outline edges are matching the original face’s outline. The silhouette of the face is usually the outline of the face profile, and face profile is considered a very important aspect of face identification it also provides an overall structure view of the face that is seen in the non-frontal view. Normally side view images are captured from a distance which unfortunately leads to capturing the image in a low-resolution quality. The main purpose of this project is to introduce a combination of silhouette detection and side-view face detection in order to detect, process, and compare a person from a side-view image. In this thesis we will be moving step by step starting fromthe step of extracting the face’s outer line from the side-view colored face picture. And start deploying methods and algorithms on these outer line points in order to approach the goal of matching the person with one of the known and saved persons we have. This thesis is introducing a module that can be added to face recognition systems in order to raise the recognition accuracy.