Multi-resolution fusion of DTCWT and DCT for shift invariant face recognition

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 2014-January, Issue January, 2014, Pages 80-85

  Sultana, Madeena ^a   Gavrilova, Marina ^a   Yanushkevich, Svetlana ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

DCT; DTCWT; Face dimeantionality reduction; Face recognition; Multi resolution features; Shift invariance

Indexed keywords

COMPUTATIONAL EFFICIENCY; CYBERNETICS; DISCRETE COSINE TRANSFORMS; WAVELET TRANSFORMS;

DCT; DISCRETE COSINE TRANSFORM(DCT); DTCWT; DUAL TREE COMPLEX WAVELET TRANSFORM (DT-CWT); FACE RECOGNITION TECHNIQUE; HIGH DIMENSIONAL FEATURE; MULTI-RESOLUTION FEATURE; SHIFT INVARIANCE;

FACE RECOGNITION;

EID: 84938070378     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SMC.2014.6973888     Document Type: Conference Paper

References (27)

1. Biometrics face off; http://www.asmag.com/showpost/15098.aspx, accessed on 16 June 2014.
2. K. Choudhary and N. Goel, "A Review on face recognition techniques. International Conference on Communication and Electronics System Design, " Int. Society for Optics and Photonics, 87601E-87601E, 2013.
3. B. Jiang, G. S. Yang, and H. L. Zhang, "Comparative study of dimension reduction and recognition algorithms of DCT and 2DPCA, " IEEE Int. Conf. on Machine Learning and Cybernetics, vol. 1, pp. 407- 410, 2008.
4. N. G. Kingsbury, "The dual-tree complex wavelet transform: A new efficient tool for image restoration and enhancement, " EUSIPCO, vol. 98, pp. 319-322, 1998.
5. N. Ahmed, T. Natarajan, and K. R. Rao, "Discrete cosine transform, " IEEE Trans. on Computers, vol. 100(1), pp. 90-93, 1974.
6. Q. Zhu, Y. Xu, Y. Lu, J. Wen, Z. Fan, and Z. Li, "Novel matrix based feature extraction method for face recognition using gaborface features, " Genetic and Evolutionary Computing, vol. 238, pp. 349-357, 2014.
7. S. Meshgini, A. Aghagolzadeh, and H. Seyedarabi, "Face recognition using Gabor-based direct linear discriminant analysis and support vector machine, " Computers & Electrical Engineering, vol. 39(3), pp. 727-745, 2013.
8. A. Eleyan and H. Demirel, "Performance comparison among complex wavelet transforms based face recognition systems, " Image Processing and Communications Challenges 2, pp. 201-209, 2010.
9. G. Y. Zhang, S. Y. Peng, and H. M. Li., "Combination of dual-tree complex wavelet and SVM for face recognition, " Int. Conf. on Machine Learning and Cybernetics, vol. 5, pp. 2815-2819, 2008.
10. C. C. Liu and D. Q. Dai, "Face recognition using dual-tree complex wavelet features, " IEEE Trans. on Image Processing, vol. 18(11), pp. 2593-2599, 2009.
11. L. Jiang, "Face recognition under varying illumination based on dualtree complex wavelet transform, " Int. Conf. on Wavelet Analysis and Pattern Recognition (ICWAPR), pp. 314-317, 2010.
12. G. Chen, S. Krishnan, Y. Zhao, and W. Xie, "Illumination invariant face recognition, " Intelligent Computing Theories, LNCS, vol. 7995, pp 385-391, 2013.
13. M. Sultana, M. Gavrilova, and S. Yanushkevich, "Expression, pose, and illumination invariant face recognition using lower order pseudo zernike moments, " Int. Joint Conf. on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISAPP 2014, pp. 216-221, 2013.
14. B. Wang, W. Li, W. Yang, and Q. Liao, "Illumination normalization based on Weber's law with application to face recognition, " IEEE Signal Processing Letters, vol. 18(8), pp. 462-465, 2011.
15. I. W. Selesnick, R. G. Baraniuk, and N. G. Kingsbury, "The dual-tree complex wavelet transform, " IEEE Signal Processing Magazine, vol. 22(6), pp.123-151, 2005.
16. S. Dabbaghchian, M. P. Ghaemmaghami, and A. Aghagolzadeh, "Feature extraction using discrete cosine transform and discrimination power analysis with a face recognition technology, " Pattern Recognition, vol. 43(4), pp. 1431-1440, 2010.
17. Z. M. Hafed and M. D. Levine, "Face recognition using the discrete cosine transform, " Int. Journal of Computer Vision, vol. 43(3), pp.167- 188, 2001.
18. W. Chen, M. J. Er, and S. Wu, "PCA and LDA in DCT domain, " Pattern Recognition Letters, vol. 26, pp. 2474-2482, 2005.
19. P. N. Belhumeur, J. P. Hespanha, and D. Kriegman, "Eigenfaces vs. fisherfaces: Recognition using class specific linear projection, " IEEE Trans. on PAMI, vol. 19(7), pp. 711-720, 1997.
20. T. Cover and P. Hart, "Nearest neighbor pattern classification, " IEEE Trans. on Information Theory, vol. 13(1), pp. 21-27, 1967.
21. A. M. Martinez and A. C. Kak, "PCA versus LDA, " IEEE Trans. on PAMI, 23(2), pp. 228-233, 2001.
22. AT&T Lab. Cambridge; www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html, Accessed on 16 June 2014.
23. P. J. Phillips, H. Moon, P. J. Rauss, and S. Rizvi, "The FERET evaluation methodology for face recognition algorithms, " IEEE Trans. on PAMI, vol. 22 (10), pp. 1090-1104, 2000.
24. G. Huang, M. Ramesh, T. Berg, and E. L. Miller, "Labeled faces in the wild: A database for studying face recognition in unconstrained environments, " University of Massachusetts, Amherst, Technical Report, pp. 07-49, 2007.
25. M. Turk and A. Pentland. "Eigenfaces for recognition, " Journal of Cognitive Neuroscience, vol. 3(1), pp. 71-86, 1991.
26. T. Ahonen, A. Hadid, and M. Pietikäinen, "Face description with local binary patterns: Application to face recognition, " IEEE Trans. on PAMI, vol. 28 (12), pp. 2037-2041, Dec. 2006.
27. J. T. Chien and C. C. Wu, "Discriminant waveletfaces and nearest feature classifiers for face recognition, " IEEE Trans. on PAMI, vol. 24(12), pp. 1644-1649, 2002.