Skip to main content

A Hybrid Face Recognition Scheme Using Contour and Gabor Wavelet

  • Conference paper
  • First Online:
Proceedings of International Conference on ICT for Sustainable Development

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 408))

Abstract

A face recognition system based on the hybrid approach is proposed in this paper. We have combined both the global and local features of a face using Gabor wavelet transform and a face contour. Gabor transform helps in extracting the features of a face, that is, the position of eyes, tip of the nose, and the corner of the mouth, whereas a face contour helps to extract the structure of a face. A combination of these techniques helps to extract the best features.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

References

  1. Wiskott, L., Fellous, J.-M., Uger, N. K., & Malsburg, C. V. (1999). Face recognition by elastic bunch graph matching. In Intelligent Biometric Techniques in Fingerprint and Face Recognition (Chapter 11, pp. 355–396).

    Google Scholar 

  2. Pantic, M., & Rothkrantz, L. J. M. (2004). Facial action recognition for facial expression analysis from static face images. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics, 34(3), 14–21.

    Article  Google Scholar 

  3. Gabor, D. (1946). Theory of communication. Journal of the Institution of Electrical Engineers Part III: Radio and Communication, Engineering, 93(26), 429–457.

    Google Scholar 

  4. Ilonen, J., Kämäräinen, J.-K., & Kälviäinen, H. (2005). Efficient computation of gabor features. Lappeenranta.

    Google Scholar 

  5. Kumar, V., Shreyas, B., & Sarkar, B. (2007). Face recognition using gabor wavelets. In Conference IEEE Asilomar Conference on Signals, Systems and Computers (pp. 23–29). IEEE.

    Google Scholar 

  6. Gandhe, S. T., Talele, K. T., & Keskar, A. G. (2006). Face recognition using contour matching. IAENG International Journal of Computer Science, 35(2), 223–245.

    Google Scholar 

  7. Javier, R. Movellan tutorial on gabor filter.

    Google Scholar 

  8. Knill, O. Functions of two variables http://www.math.harvard.edu/archive/21b_summer_04/

  9. Hiremath, P. S., Kodge, B. G. (2011). Generating contour lines using different elevation data file formats. International Journal of Computer Science and Applications (IJCSA), 3(1), 69–74.

    Google Scholar 

  10. Tareque, M. H., et al. (2013, July). Contour based face recognition process. IJCSET, 3(7), 244–248.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bandariakor Rymbai .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media Singapore

About this paper

Cite this paper

Rymbai, B., Kandar, D., Maji, A.K. (2016). A Hybrid Face Recognition Scheme Using Contour and Gabor Wavelet. In: Satapathy, S., Joshi, A., Modi, N., Pathak, N. (eds) Proceedings of International Conference on ICT for Sustainable Development. Advances in Intelligent Systems and Computing, vol 408. Springer, Singapore. https://doi.org/10.1007/978-981-10-0129-1_40

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-0129-1_40

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0127-7

  • Online ISBN: 978-981-10-0129-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics