Robust Component Based Face Recognition with Occlusion for JPEG Frames: A Survey

Face recognition is growing in many fields like Biometrics. But it also has some significant challenges for recognizing the face under different illuminations, pose variance, aging, occlusion, facial expression, low resolution etc. Face recognition is practically used in security systems for law enforcement situation at places like boarder security, airports railway station where the identification and verification of person matters a lot specially when face is occluded. This paper is mainly focusing on the occluded face verification. For this purpose the LPOG technique, which is the combination of BELBP and LPQ will be used. With the help of automatic face detection misalignment algorithm Voila-jones. SSRC the classification technique which is better than other state-of-arts techniques will be used for classification.