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Comparative Study of Feature Extraction Techniques for Face Recognition System

Published on May 2012 by J. K. Keche, M. P. Dhore
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National Conference on Recent Trends in Computing
Foundation of Computer Science USA
NCRTC - Number 6
May 2012
Authors: J. K. Keche, M. P. Dhore
451df677-22e6-4111-b196-e630022a8647

J. K. Keche, M. P. Dhore . Comparative Study of Feature Extraction Techniques for Face Recognition System. National Conference on Recent Trends in Computing. NCRTC, 6 (May 2012), 1-5.

@article{
author = { J. K. Keche, M. P. Dhore },
title = { Comparative Study of Feature Extraction Techniques for Face Recognition System },
journal = { National Conference on Recent Trends in Computing },
issue_date = { May 2012 },
volume = { NCRTC },
number = { 6 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /proceedings/ncrtc/number6/6552-1042/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computing
%A J. K. Keche
%A M. P. Dhore
%T Comparative Study of Feature Extraction Techniques for Face Recognition System
%J National Conference on Recent Trends in Computing
%@ 0975-8887
%V NCRTC
%N 6
%P 1-5
%D 2012
%I International Journal of Computer Applications
Abstract

Face recognition is one of the most active research areas in computer vision and pattern recognition. This paper compares the different face recognition techniques like visual face recognition, thermal face recognition, eigenface approach and feature extraction techniques like geometry-based feature extraction(Gabor wavelet transform), appearance based techniques, color segmentation based techniques and template based feature extraction. PCA is used in extracting the relevant information in human face. Face images are projected on to the face space which encodes the variation among known face images. This paper discusses feature extraction techniques with pros and cons. Performances of these techniques are different with various factors such as face expression variation, illumination variation, noise and orientation. Visual face recognition systems perform relatively reliably under controlled illumination conditions. Thermal face recognition systems are advantageous for detecting disguised faces or when there is no control over illumination. Thermal images of individuals wearing eyeglasses may be poor performance since eyeglasses block the infrared emissions around the eyes, which are important features for recognition.

References
  1. E. Bagherian, R. Wirza, N. I. Udzir "Extract of Facial Feature Point" IJCSNS International Journal of Computer Science andNetwork Security, VOL. 9 No. 1, January 2009.
  2. Heng Fui Liau Li-Minn Ang Kah Phooi Seng, "A Multiview Face Recopgnition System Based on Eigenfaces Method," IEEE Trans. Pattern Analysis and Machine Intelligence, vol 24, no. 5,pp. 696-706, 2008.
  3. Kcbin Cut, Feng Han, Ping Wang, "Research on Face Recognition based on Boolean Kernel SVM"; IEEE, vol, 83, no. 5, pp. 705-740, 2008.
  4. N. Bhoi, M. Narayan Mohanty "Template Matching based Eye Detection in Facial Image" International Journal of Computer Applications (0975 – 8887) Volume 12– No. 5, December 2010.
  5. T. S. Lee, "Image representation using 2D Gabor wavelets," PAMI, IEEE Trans. on, vol. 18, pp. 959-971, 1996.
  6. M. Jones and P. Viola, "Face Recognition Using Boosted Local Features", IEEE International Conference on Computer Vision, 2003.
  7. R. Brunelli and T. Poggio, "Face Recognition: Features versus Templates," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 15, No. 10, pp. 1042-1052, 1993.
  8. R. Chellappa, C. L. Wilson, and S. Sirohey, "Human and Machine Recognition of Faces: A Survey," Proceedings of the IEEE, Vol. 83, No. 5, pp. 705-740, 1995.
  9. T. Kanade, "Picture Processing by Computer Complex and Recognition of Human Faces," Technical Report, Kyoto University, 1973.
  10. I. J. Cox, J. Ghosn, and P. N. Yianilos, "Feature-Based Face Recognition Using Mixture-Distance," Proc. Int. Conf. Computer Vision and Pattern Recognition, pp. 209-216, 1996.
  11. B. S. Manjunath, R. Chellappa, and C. von der Malsburg, "A Feature Based Approach to Face Recognition," Proc. IEEE CS Conf. Computer Vision and Pattern Recognition, pp. 373-378, 1992.
  12. A. M. Martinez and A. C. Kak, "PCA versus LDA," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 23, No. 2, pp. 228-233, 2001.
  13. J. Lim, Y. Kim J. Paik" Comparative Analysis of Wavelet- Based Scale-Invariant Feature Extraction Using Different Wavelet Bases" International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 2, No. 4, December, 2009.
  14. N. Bhoi, M. N. Mohanty," Template Matching based Eye Detection in Facial Image", International Journal of Computer Applications (0975 – 8887) Volume 12– No. 5, December 2010.
  15. A. Selinger and D. A. Socolinsky, "Appearance-Based Facial Recognition Using Visible and Thermal Imagery: A Comparative Study," Technical Report, Equinox Corporation, 2001.
  16. J. Heo, B. Abidi, S. Kong, and M. Abidi, "Performance Comparison of Visual and Thermal Signatures for Face Recognition," Biometric Consortium, Arlington, VA, Sep 2003.
  17. Bruce A. Draper, Kyungim Baek, Marian Stewart Bartlett, J. Ross BeveRidge, "Recognizing Face with PCA and ICA", Computer Vision and Image Understanding 91, pp. 115–137, 2003.
  18. Sanjay Kr. Singh, D. S. Chauhan, Mayank Vatsa, Richa Singh, "A Robust Skin Color Based Face Detection Algorithm"
Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition Face Feature Extraction Pca Gabor Wavelet Transform Template Based Feature Extraction