Multiple Faces Authentication in Video Security System

Abstract

Face recognition for security camera is currently far from practical and many problems need to be solved before it can approach the capability of the human perception system. The task is challenging as the overall similarity of all human faces accompanied by large differences between face images of the same person due to image capture variations such as changes in lighting view point, head pose and facial expression. Moreover, the differences between images of the same face due to these nuisance variations can be much greater than those between images of different faces. Face recognition on still images is the first step for this study and try to examine the ability to identify and label the elements of a scene. The main objective of this paper is to specify an object especially faces using the image segmentation and object recognition approaches

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