Title :
Face verification using temporal affective cues
Author :
Ee-Sin Ng ; Chia, Alex Yong-Sang
Author_Institution :
Inst. for Infocomm Res., Singapore, Singapore
Abstract :
It is widely accepted that biometric authentication systems based on human faces are vulnerable to spoofing attacks, in which attackers exploit recaptured photos of legitimate users to gain unauthorized access. To address this vulnerability, numerous approaches which employ complex physics-based models to verify the live-ness of presented images have been proposed. While capable of distinguishing between real and recaptured images, a key weakness of these methods is their reliance on an appropriate choice of the model used. Here, we adopt a fundamentally different approach to detect recaptured images. Our method uses randomized temporal affective cues in the form of facial expressions to verify the liveness of users. A quantitative evaluation user study involving 6 users demonstrated the feasibility of our method, and we have also shown that the system is capable of achieving an average classification accuracy of 95.85% for different facial expressions.
Keywords :
biometrics (access control); face recognition; image classification; biometric authentication systems; classification accuracy; complex physics-based models; face verification; facial expressions; image liveness; quantitative evaluation user study; randomized temporal affective cues; recaptured image detection; spoofing attacks; Accuracy; Authentication; Face; Face detection; Face recognition; Training; Videos;
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
978-1-4673-2216-4