Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Fusing Facial Features for Face Recognition

  • Conference paper
Distributed Computing and Artificial Intelligence

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 151))

Abstract

Face recognition is an important biometric method because of its potential applications in many fields, such as access control, surveillance, and human-computer interaction. In this paper, a face recognition system that fuses the outputs of three face recognition systems based on Gabor jets is presented. The first system uses the magnitude of the, the second uses the phase, and the third uses the magnitude with phase of the jets. The jets are generated from facial landmarks selected using three selection methods. It was found out that fusing the facial features gives better recognition rate than either facial feature used individually regardless of the landmark selection method.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 429.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 549.99
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.

Similar content being viewed by others

References

  1. Turk, M.A., Pentland, A.P.: Face recognition using eigenfaces. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition, pp. 586–591 (1991)

    Google Scholar 

  2. Zhao, W., Chellappa, R., Phillips, P.J., Rosenfeld, A.: Face recognition: A literature survey. ACM Computing Surverys (CSUR) 35(4), 399–458 (2003)

    Article  Google Scholar 

  3. Wiskott, L., Fellous, J.-M., Kruger, N., Von Der Malsburg, C.: Face Recognition by Elastic Bunch Graph Matching. In: Intelligent Biometric Techniques in Fingerprint and Face Recognition, ch.11, pp. 355–396 (1999)

    Google Scholar 

  4. Bolme, D.: Elastic bunch graph matching. Master’s thesis, Colorado State University (Summer 2003)

    Google Scholar 

  5. Sigari, M.H., Fathy, M.: Best wavelength selection for Gabor wavelet using GA for EBGM algorithm. In: Machine Vision, ICMV 2007, Islamabad, December 28-29, pp. 35–39 (2007)

    Google Scholar 

  6. Wiskott, L., Fellous, J.M., Kruger, N., Malsburg, C.V.D.: Face Recognition by Elastic Bunch Graph Matching. IEEE Transaction on Pattern Analysis and Machine Intelligence 19(7), 775–779 (1997)

    Article  Google Scholar 

  7. Gökberk, B.: Feature Based Pose Invariant Face Recognition. Master’s thesis, Bogazici University (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Engineering and Information Technology, University Malaysia Sabah, Locked Bag 2073, Teluk Likas, 88999, Kota Kinabalu, Sabah, Malaysia

    Jamal Ahmad Dargham, Ali Chekima & Ervin Gubin Moung

Authors
  1. Jamal Ahmad Dargham
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ali Chekima
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ervin Gubin Moung
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jamal Ahmad Dargham .

Editor information

Editors and Affiliations

  1. Dept. Computer Science &, Intelligent Systems, Osaka Prefecture University, Gakuen-chu 1-1, Sakai, Osaka, 599-8531, Japan

    Sigeru Omatu

  2. , Department of Computing Science, University of Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Juan F. De Paz Santana

  3. , Department of Computing Science, University of Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Sara Rodríguez González

  4. Escuela Politécnica Superior (EPS), Depto. Informática, Universidad Carlos III de Madrid, Avenida de la Universidad Carloss III 22, Madrid, 28270, Spain

    Jose M. Molina

  5. , Data Processing and Simulation Group, Universidad Politécnica de Madrid, Calle de Ramiro de Maeztu, 7, Madrid, 28040, Spain

    Ana M. Bernardos

  6. Faculty of Science, Department of Computing Science, University of Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Juan M. Corchado Rodríguez

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dargham, J.A., Chekima, A., Moung, E.G. (2012). Fusing Facial Features for Face Recognition. In: Omatu, S., De Paz Santana, J., González, S., Molina, J., Bernardos, A., Rodríguez, J. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28765-7_68

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28765-7_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28764-0

  • Online ISBN: 978-3-642-28765-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation