About this Journal Submit a Manuscript Table of Contents
Advances in Artificial Neural Systems
Volume 2011 (2011), Article ID 673016, 16 pages
http://dx.doi.org/10.1155/2011/673016
Research Article

Applying Artificial Neural Networks for Face Recognition

Department of Computer Science, Ho Chi Minh University of Science, Ho Chi Minh City 70000, Vietnam

Received 25 January 2011; Revised 16 June 2011; Accepted 19 July 2011

Academic Editor: Naoyuki Kubota

Copyright © 2011 Thai Hoang Le. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. Z. Li and A. K. Jain, Handbook of Face Recognition, Springer, New York, NY, USA, 2004.
  2. C. Bishop, Pattern Recognition and Machine Learning, Springer, New York, NY, USA, 2006.
  3. CBCL Database #1, Center for Biological and Computational Learning at MIT and MIT, http://cbcl.mit.edu/software-datasets/FaceData2.html.
  4. Markus Weber, Frontal Face Database, California Institute of Technology, 1999, http://www.vision.caltech.edu/html-files/archive.html/.
  5. M. H. Yang, D. J. Kriegman, and N. Ahuja, “Detecting faces in images: a survey,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 1, pp. 34–58, 2002. View at Publisher · View at Google Scholar · View at Scopus
  6. P. Viola and M. Jones, “Rapid object detection using a boosted cascade of simple features,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 511–518, December 2001. View at Scopus
  7. H. A. Rowley, Neural Network Based Face Detection, Neural network Based Face Detection, School of Computer Science, Computer Science Department, Carnegie Mellon University, Pittsburgh, Pa, USA, 1999.
  8. T. F. Cootes, “Statistical models of appearance for computer vision,” http://www.isbe.man.ac.uk/~bim/refs.html/.
  9. F. Jiao, S. Li, H.-Y. Shum, and D. Schuurmans, “Face alignment using statistical models and wavelet features,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2003. View at Scopus
  10. F. Zuo and P. H. N. D. With, “Fast facial feature extraction using a deformable shape model with haar-wavelet based local texture attributes,” in Proceedings of the International Conference on Image Processing (ICIP '04), pp. 1425–1428, October 2004.
  11. S. Yan, M. Li, H. Zhang, and Q. Cheng, “Ranking prior likelihood distributions for Bayesian shape localization framework,” in Proceedings of the 8th IEEE International Conference on Computer Vision, pp. 51–58, October 2003.
  12. J. Tu, Z. Zhang, Z. Zeng, and T. Huang, “Face localization via hierarchical CONDENSATION with Fisher Boosting feature selection,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '04), pp. I719–I724, July 2004.
  13. S. Marcel, “Artificial neural network for pattern recognition: application to face detection and recognition,” 2004, http://www.idiap.ch/~marcel/.
  14. T. Kawaguchi, D. Hidaka, and M. Rizon, “Detection of eyes from human faces by Hough transform and separability filter,” in Proceedings of the International Conference on Image Processing, vol. 1, no. 2000, pp. 49–52, Vancouver, Canada, 2000.
  15. A. L. Yuille, D. S. Cohen, and P. W. Hallinan, “Feature extraction from faces using deformable template. Computer vision and pattern recognition,” in Proceedings of the IEEE Computer Society Conference, pp. 104–109, San Diego, CA , USA, June 1989.
  16. L. Zhang, “Estimation of the mouth features using deformable templates,” in Proceedings of the International Conference on Image Processing, vol. 3, pp. 328–331, Santa Barbara, CA , USA, October 1997.
  17. P. Kuo and J. Hannah, “An improved eye feature extraction algorithm based on deformable templates,” in Proceedings of the IEEE International Conference on Image Processing (ICIP '05), pp. 1206–1209, September 2005. View at Publisher · View at Google Scholar
  18. S. L. Phung, A. Bouzerdoum, and D. Chai, “Skin segmentation using color and edge information. Signal processing and its applications,” in Proceedings of the 7th International Symposium, vol. 1, pp. 525–528, July 2003.
  19. T. Sawangsri, V. Patanavijit, and S. Jitapunkul, “Segmentation using novel skin-color map and morphological technique,” in Proceedings of the World Academy of Science, Engineering and Technology, vol. 2, January 2005.
  20. M. Turk and A. Pentland, “Face recognition using eigenfaces,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 586–591, 1991.
  21. B. A. Draper, K. Baek, M. S. Bartlett, and J. R. Beveridge, “Recognizing faces with PCA and ICA,” Computer Vision and Image Understanding, vol. 91, no. 1-2, pp. 115–137, 2003. View at Publisher · View at Google Scholar
  22. M. S. Bartlett, J. R. Movellan, and T. J. Sejnowski, “Face recognition by independent component analysis,” IEEE Transactions on Neural Networks, vol. 13, no. 6, pp. 1450–1464, 2002. View at Publisher · View at Google Scholar · View at PubMed
  23. P. Comon, “Independent component analysis—a new concept?” Signal Processing, vol. 36, no. 3, pp. 287–314, 1994.
  24. T. T. Do and T. H. Le, “Facial feature extraction using geometric feature and independent component analysis,” in Proceedings of the Pacific Rim Knowedge Acquisition Workshop (PKAW '08), Hanoi, Vietnam, December 2008, (Revised Selected Papers) in Knowledge Acquisition: Approaches, Algorithms and Applications, Lecture Notes in Artificial Intelligence, Springer, Berlin, Germany, pp.231–241, 2009.
  25. A. Hyvärinen and E. Oja, “Independent component analysis: algorithms and applications,” Neural Networks, vol. 13, no. 4-5, pp. 411–430, 2000. View at Publisher · View at Google Scholar
  26. O. A. Uwechue and A. S. Pandya, Human Face Recognition using Third-Order Synthetic Neural Networks, The Springer International Series in Engineering and Computer Science, Springer, 1st edition, 1997.
  27. H. A. Rowley, S. Baluja, and T. Kanade, “Neural network-based face detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 1, pp. 23–38, 1998.
  28. S. Lawrence, C. L. Giles, A. C. Tsoi, and A. D. Back, “Face recognition: a convolutional neural network approach,” IEEE Transactions on Neural Networks, Special Issue on Neural Networks and Pattern Recognition, vol. 8, no. 1, pp. 98–113, 1997.
  29. T. H. Le, N. T. D. Nguyen, and H. S. Tran, “Landscape image of regional tourism classification using neural network,” in Proceedings of the 3rd International Conference on Communications and Electronics (ICCE '10), Nha Trang, Vietnam, August 2010.
  30. L. H. Thai, Building, development and application, some combination model of neural network (NN), fuzzy logic(FL) and genetics algorithm (GA), Ph.D. thesis, Natural Science University, HCM City, Vietnam, 2004.
  31. P. J. Phillips, H. Moon, P. J. Rauss, and S. A. Rizvi, “The FERET evaluation methodology for face-recognition algorithms,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 10, pp. 1090–1104, 2000.
  32. R. Lienhart and J. Maydt, “An extended set of Haar-like features for rapid object detection,” in Proceedings of the International Conference on Image Processing, September 2002.