Using Visual Rhythms for Detecting Video-Based Facial Spoof Attacks

  title={Using Visual Rhythms for Detecting Video-Based Facial Spoof Attacks},
  author={Allan da Silva Pinto and William Robson Schwartz and H{\'e}lio Pedrini and Anderson Rocha},
  journal={IEEE Transactions on Information Forensics and Security},
Spoofing attacks or impersonation can be easily accomplished in a facial biometric system wherein users without access privileges attempt to authenticate themselves as valid users, in which an impostor needs only a photograph or a video with facial information of a legitimate user. Even with recent advances in biometrics, information forensics and security, vulnerability of facial biometric systems against spoofing attacks is still an open problem. Even though several methods have been proposed… CONTINUE READING
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