Skip to main content
Springer Nature Link
Log in

Face Recognition System Based on PCA and Feedforward Neural Networks

  • Conference paper
Computational Intelligence and Bioinspired Systems (IWANN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3512))

Included in the following conference series:

  • 3252 Accesses

Abstract

Face recognition is one of the most important image processing research topics which is widely used in personal identification, verification and security applications. In this paper, a face recognition system, based on the principal component analysis (PCA) and the feedforward neural network is developed. The system consists of two phases which are the PCA preprocessing phase, and the neural network classification phase. PCA is applied to calculate the feature projection vector of a given face which is then used for face identification by the feedforward neural network. The proposed PCA and neural network based identification system provides improvement on the recognition rates, when compared with a face classifier based on the PCA and Euclidean Distance.

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

Access this chapter

Log in via an institution

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. Carey, S., Diamond, R.: From Piecemeal to Configurational Representation of Faces. Science 195, 312–313 (1977)

    Article  Google Scholar 

  2. Bledsoe, W.W.: The Model Method in Facial Recognition. Panoramic Research Inc., Palo Alto (1966)

    Google Scholar 

  3. Bledsoe, W.W.: Man-Machine Facial Recognition. Panoramic Research Inc., Palo Alto (1966)

    Google Scholar 

  4. Fischler, M.A., Elschlager, R.A.: The Representation and Matching of Pictorial Structures. IEEE Trans. on Computers c-22.1 (1973)

    Article  Google Scholar 

  5. Harmon, L.D., Hunt, W.F.: Automatic Recognition of Human Face Profiles. Computer Graphics and Image Processing 6, 135–156 (1977)

    Article  Google Scholar 

  6. Kaufman, G.J., Breeding, K.J.: The Automatic Recognition of Human Faces From Profile Silhouettes. IEEE Trans. Syst. Man Cybern. 6, 113–120 (1976)

    MATH  Google Scholar 

  7. Turk, M., Pentland, A.: Eigenfaces for Recognition. Journal of Cognitive Neuroscience 3, 71–86 (1991)

    Article  Google Scholar 

  8. Kirby, M., Sirovich, L.: Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces. IEEE PAMI 12, 103–108 (1990)

    Google Scholar 

  9. Sirovich, L., Kirby, M.: Low-Dimensional Procedure for the Characterization of Human Faces. J. Opt. Soc. Am. A 4(3), 519–524 (1987)

    Article  Google Scholar 

  10. Lawrence, S., Giles, C.L., Tsoi, A.C., Back, A.D.: Face Recognition: A Convolutional Neural-Network Approach. IEEE Trans. Neural Networks 8(1) (January1997)

    Google Scholar 

  11. Zhujie Yu, Y.L.: Face Recognition with Eigenfaces. In: Proc. of the IEEE Intl. Conf., pp. 434–438 (December 1994)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimaǧusa, North Cyprus, Mersin 10, Turkey

    Alaa Eleyan & Hasan Demirel

Authors
  1. Alaa Eleyan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hasan Demirel
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Departamento de Ingeniería Electrónica, Universitat Politècnica de Catalunya (UPC). E.T.S.I. de Telecomunicación, Campus Norte, Edificio C4, C/ Jordi Girona, 1-3, E08034, Barcelona, Spain

    Joan Cabestany

  2. Department of Computer Architecture and Computer Technology, University of Granada,  

    Alberto Prieto

  3. Grupo ISIS, Dpto. Tecnología Electrónica ETSI Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain

    Francisco Sandoval

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Eleyan, A., Demirel, H. (2005). Face Recognition System Based on PCA and Feedforward Neural Networks. In: Cabestany, J., Prieto, A., Sandoval, F. (eds) Computational Intelligence and Bioinspired Systems. IWANN 2005. Lecture Notes in Computer Science, vol 3512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494669_115

Download citation

  • DOI: https://doi.org/10.1007/11494669_115

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26208-4

  • Online ISBN: 978-3-540-32106-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation