Open AccessEffect of Face Tampering on Face Recognition
Author(s) -
Amarjot Singh,
Sanjay Kumar Singh
Publication year - 2013
Publication title -
signal and image processing : an international journal
Language(s) - English
Resource type - Journals
eISSN - 2229-3922
pISSN - 0976-710X
DOI - 10.5121/sipij.2013.4407
Subject(s) - face (sociological concept) , facial recognition system , computer science , internet privacy , computer vision , artificial intelligence , pattern recognition (psychology) , philosophy , linguistics
Modern face recognition systems are vulnerable to spoofing attack. Spoofing attack occurs when a persontries to cheat the system by presenting fake biometric data gaining unlawful access. A lot of researchershave originated novel techniques to fascinate these types of face tampering attack. It seems that nocomparative studies of different face recognition algorithms on same protocols and fake data have beenincorporated. The motivation behind this paper is to present the effect of face tampering on variouscategories of face recognition algorithms. For this purpose four categories of facial recognition algorithmshave been selected to present the obtained results in the form of facial identification accuracy at varioustampering and experimental protocols but obtained results are very fluctuating in nature. Finally, we cometo the conclusion that it is totally unpredictable to select particular type of algorithm for tampered facerecognition