Effect of Face Tampering on Face Recognition

Modern face recognition systems are vulnerable to spoofing attack. Spoofing attack occurs when a person tries to cheat the system by presenting fake biometric data gaining unlawful access. A lot of researchers have originated novel techniques to fascinate these types of face tampering attack. It seems that no comparative studies of different face recognition algorithms on same protocols and fake data have been incorporated. The motivation behind this paper is to present the effect of face tampering on various categories of face recognition algorithms. For this purpose four categories of facial recognition algorithms have been selected to present the obtained results in the form of facial identification accuracy at various tampering and experimental protocols but obtained results are very fluctuating in nature. Finally, we come to the conclusion that it is totally unpredictable to select particular type of algorithm for tampered face recognition.