Using Visual Rhythms for Detecting Video-Based Facial Spoof Attacks

@article{Pinto2015UsingVR,
  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},
  year={2015},
  volume={10},
  pages={1025-1038}
}
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
Highly Cited
This paper has 41 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 26 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 45 references

Similar Papers

Loading similar papers…