Skip to main content

Person-specific Face Spoofing Detection for Replay Attack Based on Gaze Estimation

  • Conference paper
  • First Online:
Biometric Recognition (CCBR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9428))

Included in the following conference series:

Abstract

Based on gaze estimation, we propose an effective person-specific spoofing detection method to counter replay attack using a noninvasive challenge and response technique. The points on the computer screen create the challenge, and the gaze positions of the user as they look at the computer screen form the response. Firstly, face identification is conducted to recognize identity. Secondly, gaze estimation model is trained for each subject by adaptive linear regression with incremental learning and used to predict gaze positions when user is looking at the computer screen. Finally, difference between predicted gaze positions and system point locations is used as fake score to evaluate the liveness of user. Our basic assumption is that a genuine access can be attacked by salient objects and follow them. Therefore, the lower the fake score is, the more probable the user is genuine. Experimental results show that proposed method obtains competitive performance in distinguishing replay attacks from genuine accesses.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Kollreider, K., Fronthaler, H., Bigun, J.: Non-intrusive liveness detection by face images. Image and Vision Computing 27, 223–244 (2009)

    Article  Google Scholar 

  2. Bao, W., Li, H., Li, N., Jiang, W.: A liveness detection method for face recognition based on optical flow field. In: Proc. Int. Conf. Image Analysis and Signal Processing, pp. 233–236 (2009)

    Google Scholar 

  3. Anjos, A., Marcel, S.: Counter-measures to photo attacks in face recognition: a public database and a baseline. In: Proc. IJCB, pp. 1–7 (2011)

    Google Scholar 

  4. Anjos, A., Mohan, M., Marcel, S.: Motion-based counter-measures to photo attacks in face recognition. Institution of Engineering and Technology Journal on Biometrics (2014) (to be published)

    Google Scholar 

  5. Pan, G., Sun, L., Wu, Z., Wang, Y.: Monocular camera-based face liveness detection by combining eyeblink and scene context. J. of Telecommunication Systems 47, 215–225 (2011)

    Article  Google Scholar 

  6. Jukka, M.P., Hadid, A., Pietikinen, M.: Face spoofing detection from single images using micro-texture analysis. In: Proc. IJCB, pp. 1–7 (2011)

    Google Scholar 

  7. Maatta, J., Hadid, A., Pietikainen, M.: Face spoofing detection from single images using texture and local shape analysis. IET Biometrics 1, 3–10 (2012)

    Article  Google Scholar 

  8. Tan, X., Li, Y., Liu, J., Jiang, L.: Face liveness detection from a single image with sparse low rank bilinear discriminative model. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part VI. LNCS, vol. 6316, pp. 504–517. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  9. Komulainen, J., Hadid, A., Pietikäinen, M.: Face spoofing detection using dynamic texture. In: Park, J.-I., Kim, J. (eds.) ACCV Workshops 2012, Part I. LNCS, vol. 7728, pp. 146–157. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  10. Yan, J.J., Zhang, Z.W., Lei, Z., Yi, D., Li, S.Z.: Face liveness detection by exploring multiple scenic clues. In: Proc. Int. Conf. Control Automation Robotics and Vision, pp. 188–193 (2012)

    Google Scholar 

  11. Komulainen, J., Hadid, A., Pietikainen, M., Anjos, A., Marcel, S.: Complementary countermeasures for detecting scenic face spoofing attacks. In: Proc. ICB, pp. 1–7 (2013)

    Google Scholar 

  12. Frischholz, R.W., Dieckmann, U.: Bioid: A multimodal biometric identification system. Computer 33, 64–68 (2000)

    Article  Google Scholar 

  13. Eveno, N., Besacier, L.: Co-inertia analysis for “liveness” test in audio-visual biometrics. In: Proc. Int. Symp. Image and Signal Processing and Analysis, pp. 257–261 (2005)

    Google Scholar 

  14. Chetty, G., Wagner, M.: Liveness verification in audio\(-\)video speaker authentication. In: Proc. Australian Int. Conf. Speech Science and Technology, pp. 363–385 (2004)

    Google Scholar 

  15. Zhang, Z.W., Yi, D., Lei, Z., Li, S.Z.: Face liveness detection by learning multispectral reflectance distributions. In: Proc. IEEE Int. Conf. Automatic Face and Gesture Recognition and Workshops, pp. 436–441 (2011)

    Google Scholar 

  16. Kim, Y., Na, J., Yoon, S., Yi, J.: Masked fake face detection using radiance measurements. J. of the Optical Society of America A 24, 760–766 (2009)

    Article  Google Scholar 

  17. Smith, D.F., Wiliem, A., Lovell, B.C.: Face Recognition on Consumer Devices: Reflections on Replay Attacks. IEEE Trans. Inf. Foren. Sec. 10, 736–745 (2015)

    Article  Google Scholar 

  18. Sireesha, M.V., Vijaya, P.A., Chellamma, K.: A survey on gaze estimation techniques. In: Chakravarthi, V.S., Shirur, Y.J.M., Prasad, R. (eds.) Proceedings of International Conference on VLSI, Communication, Advanced Devices, Signals and Systems and Networking (VCASAN-2013). LNEE, vol. 258, pp. 353–361. Springer, Heildelberg (2013)

    Google Scholar 

  19. Ali, A., Deravi, F., Hoque, S.: Liveness detection using gaze collinearity. In: Proc. Int. Conf. Emerging Security Technologies, pp. 62–65 (2012)

    Google Scholar 

  20. Ali, A., Deravi, F., Hoque, S.: Directional sensitivity of gaze-collinearity features in liveness detections. In: Proc. Int. Conf. Emerging Security Technologies, pp. 8–11 (2013)

    Google Scholar 

  21. Ali, A., Deravi, F., Hoque, S.: Spoofing attempt detection using gaze colocation. In: Proc. Int. Conf. Biometrics Special Interest Group, pp. 1–12 (2013)

    Google Scholar 

  22. Cai, L., Xiong, C., Huang, L., Liu, C.: A novel face spoofing detection method based on gaze estimation. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, vol. 9005, pp. 547–561. Springer, Heidelberg (2015)

    Google Scholar 

  23. Taigman, Y., Yang, M., Ranzato, M., Wolf, L.: Deepface: closing the gap to human-level performance in face verification. In: Proc. CVPR, pp. 1707–1708 (2014)

    Google Scholar 

  24. Lu, C., Tang, X.: Learning the face prior for bayesian face recognition. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part IV. LNCS, vol. 8692, pp. 119–134. Springer, Heidelberg (2014)

    Google Scholar 

  25. Sigut, J.F., Sidha, S.A.: Iris center corneal reflection method for gaze tracking using visible light. IEEE Trans. on Biomedical Engineering 58, 411–419 (2011)

    Article  Google Scholar 

  26. Xiong, C.S., Huang, L., Liu, C.P.: Gaze estimation based on 3D face structure and pupil centers. In: Proc. ICPR, pp. 24–28 (2014)

    Google Scholar 

  27. Williams, O., Blake, A., Cipolla, R.: Sparse and semi-supervised visual mapping with the S3GP. In: Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition, pp. 230–237 (2006)

    Google Scholar 

  28. Feng, L., Sugano, Y., Takahiro, O., Sato, Y.: Inferring human gaze from appearance via adaptive linear regression. In: Proc. ICCV, pp. 153–160 (2011)

    Google Scholar 

  29. Viola, P., Jones, M.: Robust Real-time Face Detection. Int. J. of Computer Vision 57, 137–154 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lijun Cai .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Cai, L., Huang, L., Liu, C. (2015). Person-specific Face Spoofing Detection for Replay Attack Based on Gaze Estimation. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds) Biometric Recognition. CCBR 2015. Lecture Notes in Computer Science(), vol 9428. Springer, Cham. https://doi.org/10.1007/978-3-319-25417-3_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-25417-3_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25416-6

  • Online ISBN: 978-3-319-25417-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics