SPOOFING RECOGNITION FOR FACE WITH MASKS: AN ANALYSIS
P SruthiMol · 2015
In recent years, face recognition has often been proposed for personal identification. However, there are many difficulties with face recognition systems. Among tangible threats and vulnerabilities facing current biometric systems are spoofing attacks the problem of detecting face spoofing attacks (presentation attacks) has recently gained a well-deserved popularity. Focusing on 2D and 3D attacks morphed by displaying printed photos or recorded videos on mobile devices or any, a major portion of these studies keep their arguments on the flatness of the spoofing material in front of the sensor. And among all biometric traits, face is exposed to be the most serious threat, since it is particularly easy to access and reproduce. The goal of the position paper is to share the lessons learned about spoofing and anti-spoofing in face biometrics.