Skip to main content

Face Recognition Applications

  • Chapter
Handbook of Face Recognition

Abstract

As one of the most nonintrusive biometrics, face recognition technology is becoming ever closer to people’s daily lives. Evidence of this is that in 2000 the International Civil Aviation Organization endorsed facial recognition as the most suitable biometrics for air travel. To our knowledge, no review papers are available on the newly enlarged application scenarios since then. We hope this chapter will be an extension of the previous studies. We review many face recognition applications that have already used face recognition technologies. This set of applications is a much larger super-set of previously reviewed. We also review some other new scenarios that will potentially utilize face recognition technologies in the near future.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. ACLU. http://archive.aclu.org/features/f110101a.html

  2. Bryliuk, D., Starovoitov, V.: Access control by face recognition using neural networks and negative examples. In: Proceedings of the 2nd International Conference on Artificial Intelligence, pp. 428–436 (2002)

    Google Scholar 

  3. Bunney, C.: Survey: face recognition systems. Biom. Technol. Today 8–12 (1997)

    Google Scholar 

  4. Chan, Y., Lin, S.-H., Kung, S.: Video indexing and retrieval. In: Sheu, B.J., Ismail, M., Wang, M.Y., Tsai, R.H. (eds.) Multimedia Technology for Applications. Wiley, New York (1998)

    Google Scholar 

  5. Chellappa, R., Wilson, C., Sirohey, S.: Human and machine recognition of faces: a survey. Proc. IEEE 83(5), 704–740 (1995)

    Article  Google Scholar 

  6. Cognitec. http://www.cognitec-systems.de/index.html

  7. Cohen, I., Sebe, N., Cozman, F.G., Cirelo, M.C., Huang, T.: Learning Bayesian network classifiers for facial expression recognition using both labeled and unlabeled data. In: Proceedings of the IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR 2003) (2003)

    Google Scholar 

  8. Eickeler, S., Birlinghoven, S.: Face database retrieval using pseudo 2D hidden Markov models. In: Proceeding of IEEE Int. Conf. on Face and Gestures (FG 2002) (2002)

    Google Scholar 

  9. Facebook facial-recognition tagger goes live. http://blogs.wsj.com/digits/2009/11/11/facebook-facial-recognition-tagger-goes-live

  10. FaceGate. http://www.premierelect.co.uk/faceaccess.html

  11. FaceIt. http://www.identix.com

  12. FaceIt-Hist. http://www.identix.com/company/comp_history.html

  13. FaceKey. http://www.facekey.com

  14. Hong, P., Wen, Z., Huang, T.: IFace: a 3D synthetic talking face. Int. J. Image Graph. 1(1), 19–26 (2001)

    Article  Google Scholar 

  15. Houghton, R.: Named faces: putting names to faces. IEEE Intell. Syst. 14(5), 45–50 (1999)

    Article  Google Scholar 

  16. http://en.wikipedia.org/wiki/Facial_recognition_system

  17. Imagis. http://www.imagistechnologies.com

  18. Imagis-Beach. http://cipherwar.com/news/01/imagis_big_brother.htm

  19. Konen, W., Schulze-Krüger, E.: ZN-face: a system for access control using automated face recognition. In: Proceedings of the International Workshop on Automatic Face and Gesture Recognition, pp. 18–23 (1995)

    Google Scholar 

  20. Kudhinsky, A., Pering, C., Creech, M.L., Freeze, D., Serra, B., Gvvizdka, J.: FotoFile: a consumer multimedia organization and retrieval system. In: Proceedings of CHI’99, pp. 496–503 (1999)

    Google Scholar 

  21. Li, H., Roivainen, P., Forchheimer, R.: 3D motion estimation in model-based facial image coding. IEEE Trans. Pattern Anal. Mach. Intell. 15(6), 545–555 (1993)

    Article  Google Scholar 

  22. Lyons, M., Plante, A., Jehan, S., Inoue, S., Akamatsu, S.: Avatar creation using automatic face recognition. In: Proceedings, ACM Multimedia 98, pp. 427–434 (1998)

    Chapter  Google Scholar 

  23. Lyu, M.R., Yau, E., Sze, S.: A multilingual, multimodal digital video library system. In: ACM/IEEE Joint Conference on Digital Libraries, JCDL 2002, Proceedings, pp. 145–153 (2002)

    Chapter  Google Scholar 

  24. Ma, W.-Y., Zhang, H.: An indexing and browsing system for home video. In: Proc. of 10th European Signal Processing Conference (2000)

    Google Scholar 

  25. Martinez, A.: Face image retrieval using HMMs. In: Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries (1999)

    Google Scholar 

  26. Maximus. http://www.maximus.com/corporate/pages/smartcardsvs

  27. Navarrete, P., del Solar, J.: Interactive face retrieval using self-organizing maps. In: Proceedings, 2002 Int. Joint Conf. on Neural Networks: IJCNN2002 (2002)

    Google Scholar 

  28. Omron. http://www.omron.com

  29. Phillips, P., Grother, P., Michaels, R., Blackburn, D., Tabassi, E., Bone, M.: Face recognition vendor test 2002: evaluation report. http://www.frvt.org

  30. Phillips, P., Scruggs, W., O’Tools, A., Lynn, P., Bowyer, K., Schott, C., Sharpe, M.: FRVT 2006 and ICE 2006 large-scale results. http://www.frvt.org

  31. Rowley, H., Baluja, S., Kanade, T.: Neural network-based face detection. IEEE Trans. Pattern Anal. Mach. Intell. 20, 22–38 (1998)

    Article  Google Scholar 

  32. Rui, Y., Huang, T.S., Chang, S.-F.: Image retrieval: current techniques, promising directions and open issues. J. Vis. Commun. Image Represent. 10(4), 39–62 (1999)

    Article  Google Scholar 

  33. Viisage. http://www.viisage.com

  34. Wactlar, H., Smith, T.K.M., Stevens, S.: Intelligence access to digital video: informedia project. Computer 29(5), 46–52 (1996)

    Article  Google Scholar 

  35. Wang, H., Chang, S.-F.: A highly efficient system for automatic face region detection in mpeg video sequences. IEEE Trans. Circuits Syst. Video Technol. 7(4), 615–628 (1997). Special Issue on Multimedia Systems and Technologies

    Article  MathSciNet  Google Scholar 

  36. Wu, Y., Huang, T.: Nonstationary color tracking for vision-based human computer interaction. IEEE Trans. Neural Netw. 13(4) (2002)

    Google Scholar 

  37. Xiong, Z., Chen, Y., Wang, R., Huang, T.: Improved information maximization based face and facial feature detection from real-time video and application in a multi-modal person identification system. In: Proceedings of the Fourth International Conference on Multimodal Interfaces (ICMI’2002), pp. 511–516 (2002)

    Chapter  Google Scholar 

  38. Zhao, W., Chellappa, R., Rosenfelda, A., Phillips, J.: Face recognition: a literature survey. Technical Report, CS-TR4167R, University of Maryland (2000)

    Google Scholar 

Download references

Acknowledgements

We sincerely thank Dr. Ying Wu, Northwestern University, Dr. Lawrence Chen, Kodak Research Lab, Dr. Javier Ruiz-del-Solar, Universidad de Chile, Chile, and Dr. Julian L. Center, Jr., Lau Technologies for providing some of the pictures and their permission to use them in the paper. We also want to thank Dr. Anil K. Jain, Michigan State University for giving us helpful suggestions on improving the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thomas Huang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag London Limited

About this chapter

Cite this chapter

Huang, T., Xiong, Z., Zhang, Z. (2011). Face Recognition Applications. In: Li, S., Jain, A. (eds) Handbook of Face Recognition. Springer, London. https://doi.org/10.1007/978-0-85729-932-1_24

Download citation

  • DOI: https://doi.org/10.1007/978-0-85729-932-1_24

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-931-4

  • Online ISBN: 978-0-85729-932-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics