Is physics-based liveness detection truly possible with a single image?

@article{Bai2010IsPL,
  title={Is physics-based liveness detection truly possible with a single image?},
  author={Jiamin Bai and Tian-Tsong Ng and Xinting Gao and Yun Q. Shi},
  journal={Proceedings of 2010 IEEE International Symposium on Circuits and Systems},
  year={2010},
  pages={3425-3428}
}
Face recognition is an increasingly popular method for user authentication. However, face recognition is susceptible to playback attacks. Therefore, a reliable way to detect malicious attacks is crucial to the robustness of the system. We propose and validate a novel physics-based method to detect images recaptured from printed material using only a single image. Micro-textures present in printed paper manifest themselves in the specular component of the image. Features extracted from this… CONTINUE READING
Highly Cited
This paper has 106 citations. REVIEW CITATIONS

From This Paper

Figures, tables, results, and topics from this paper.

Key Quantitative Results

  • Features extracted from this component allows a linear SVM classifier to achieve 2.2% False Acceptance Rate and 13% False Rejection Rate (6.7% Equal Error Rate).

Citations

Publications citing this paper.
Showing 1-10 of 66 extracted citations

106 Citations

0102030'11'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 106 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 12 references

Vietnamese security firm: Your face is easy to fake

  • D. Ngo
  • 2008
1 Excerpt

Similar Papers

Loading similar papers…