Skip to main content
Springer Nature Link
Log in

Facial Feature Extraction Based on Wavelet Transform

  • Conference paper
Artificial Intelligence and Computational Intelligence (AICI 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5855))

Abstract

Facial feature extraction is one of the most important processes in face recognition, expression recognition and face detection. The aims of facial feature extraction are eye location, shape of eyes, eye brow, mouth, head boundary, face boundary, chin and so on. The purpose of this paper is to develop an automatic facial feature extraction system, which is able to identify the eye location, the detailed shape of eyes and mouth, chin and inner boundary from facial images. This system not only extracts the location information of the eyes, but also estimates four important points in each eye, which helps us to rebuild the eye shape. To model mouth shape, mouth extraction gives us both mouth location and two corners of mouth, top and bottom lips. From inner boundary we obtain and chin, we have face boundary. Based on wavelet features, we can reduce the noise from the input image and detect edge information. In order to extract eyes, mouth, inner boundary, we combine wavelet features and facial character to design these algorithms for finding midpoint, eye’s coordinates, four important eye’s points, mouth’s coordinates, four important mouth’s points, chin coordinate and then inner boundary. The developed system is tested on Yale Faces and Pedagogy student’s faces.

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. Turk, M., Pentland, A.: Eigenfaces for Recognition. Journal of Cognitive Neuroscience 3(1), 71–86 (1991)

    Article  Google Scholar 

  2. Ho, Y.Y., Ling, H.: Facial Modeling from an Uncalibrated Face Image Using a Coarse-to-Fine Genetic Algorithm. Pattern Recognition 34(8), 1015–1031 (2001)

    Article  MATH  Google Scholar 

  3. Lam, M.K., Hong, Y.: Locating and Extracting the Eye in Human Face Images. Pattern Recognition 29(5), 771–779 (1996)

    Article  Google Scholar 

  4. Bhuiyan, A., Ampornaramveth, V., Muto, S., Ueno, H.: Face Detection and Facial Feature Localization for Human-Machine Interface. NII Journal 5 (2003)

    Google Scholar 

  5. Bagherian, E., Rahmat, R., Udzir, N.: Extract of Facial Feature Point. JCSNS 9(1) (January 2009)

    Google Scholar 

  6. Castleman, R.: Digital Image Processing. Prentice-Hall, Englewood Cliffs (1996)

    Google Scholar 

  7. Van Vliet, J.: Grey-Scale Measurements in Multi-Dimensional Digitized Images. Doctor Thesis. Delft University Press (1993)

    Google Scholar 

  8. Hjelmas, E., Low, K.B.: Face detection: A Survey. Computer Vision and Image Understanding 83(3), 236–274 (2001)

    Article  MATH  Google Scholar 

  9. Tang, Y., Yang, L., Liu, J., Ma, H.: Wavelet Theory and Its Application to Pattern Recognition. World Science Publishing Co. (2000) ISBN 981-02-3819-3

    Google Scholar 

  10. Li, J.: A Wavelet Approach to Edge Detection. Master Thesis of Science in the Subject of Mathematics Sam Houston State University, Huntsville, Texas (August 2003)

    Google Scholar 

  11. Nixon, S., Aguado, S.: Feature Extraction and Image Processing (2002) ISBN 0750650788

    Google Scholar 

  12. Lei, B., Hendriks, A., Reinders, M.: On Feature Extraction from Images. Technical Report on Inventory Properties for MCCWS

    Google Scholar 

  13. Goudail, F., Lange, E., Iwamoto, T., Kyuma, K., Otsu, N.: Face Recognition System Using Local Autocorrelations and Multiscale Integration. IEEE Trans. Pattern Anal. Machine Intell. 18(10), 1024–1028 (1996)

    Article  Google Scholar 

  14. Yuille, A., Cohen, D., Hallinan, P.: Feature Extraction from Faces Using Deformable Templates. In: Proc. IEEE Computer Soc. Conf. on computer Vision and Pattern Recognition, pp. 104–109 (1989)

    Google Scholar 

  15. Rowley, H., Beluga, S., Kanade, T.: Neural Network-Based Face Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(1), 23–37 (1998)

    Article  Google Scholar 

  16. Wiskott, L., Fellous, J.-M., Kruger, N., Von der Malsburg, C.: Face Recognition by Elastic Bunch Graph Matching. IEEE Trans. Pattern Anal. & Machine Intelligence 19(7), 775–779 (1997)

    Article  Google Scholar 

  17. Bhuiyan, M., Ampornaramveth, V., Muto, S., Ueno, H.: Face Detection and Facial Feature Extraction. In: Int. Conf. on Computer and Information Technology, pp. 270–274 (2001)

    Google Scholar 

  18. Chang, T., Huang, T., Novak, C.: Facial Feature Extraction from Colour Images. In: Proceedings of the 12th IAPR International Conference on Pattern Recognition, vol. 2, pp. 39–43 (1994)

    Google Scholar 

  19. Mallat, M., Zhong, S.: Characterization of Signals from Multiscale Edges. IEEE Trans. Pattern Anal. Machine Intell. 14(7), 710–732 (1992)

    Article  Google Scholar 

  20. Mallat, S., Hwang, W.L.: Singularity Detection and Processing with Wavelets. IEEE Trans. Inform. Theory 38(2), 617–643 (1992)

    Article  MathSciNet  Google Scholar 

  21. Tian, Y., Kanade, T., Cohn, J.: Evaluation of Gabor Wavelet-Based Facial Action Unit Recognition in Image Sequences of Increasing Complexity. In: Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 218–223 (2002)

    Google Scholar 

  22. Meyer, Y.: Ondelettes, fonctions splines et analyses graduées. Rapport Ceremade 8703 (1987)

    Google Scholar 

  23. Meyer, Y.: Ondelettes et Opérateurs. Hermann, Paris (1987)

    Google Scholar 

  24. The Yale database, http://cvc.yale.edu/

Download references

Author information

Authors and Affiliations

  1. Department of Mathematics and Computer Science, University of Pedagogy, Ho Chi Minh City, Viet Nam

    Nguyen Viet Hung

Authors
  1. Nguyen Viet Hung
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, Victoria, Australia

    Hepu Deng

  2. College of Metrological Technology and Engineering, China Jiliang University, 310018, Hangzhou, Zhejiang Province, China

    Lanzhou Wang

  3. Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, China

    Fu Lee Wang

  4. College of Information Science and Technology, Hainan University, 570228, Haikou, China

    Jingsheng Lei

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hung, N.V. (2009). Facial Feature Extraction Based on Wavelet Transform. In: Deng, H., Wang, L., Wang, F.L., Lei, J. (eds) Artificial Intelligence and Computational Intelligence. AICI 2009. Lecture Notes in Computer Science(), vol 5855. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05253-8_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-05253-8_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05252-1

  • Online ISBN: 978-3-642-05253-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics