Real-time face recognition: A survey

Abstract

Face recognition in real-time has always been challenging due various reasons such as poses, illumination, occlusions. In this letter, we propose a method that solve these issues and provide better accuracy over existing state-of-art technology. In particular, we consider the process of face recognition as a 3-part process: detection, feature extraction and selection, recognition. By providing this technology we further improve the existing technology by increasing its accuracy and scope to a new level. This method to ensemble the 3 components we achieve remarkable real-time performance.