Gabor wavelets and General Discriminant Analysis for face identification and verification

Image and Vision Computing

Volumn 25, Issue 5, 2007, Pages 553-563

  Shen, LinLin ^a   Bai, Li ^a   Fairhurst, Michael ^b  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^b UNIVERSITY OF KENT   (United Kingdom)

Author keywords

Face identification; Face verification; Gabor wavelets; General Discriminant Analysis

Indexed keywords

DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE ANALYSIS; PATTERN MATCHING; VECTOR QUANTIZATION; WAVELET TRANSFORMS;

FACE IDENTIFICATION; FACE VERIFICATION; GABOR WAVELETS; GENERAL DISCRIMINANT ANALYSIS;

FACE RECOGNITION;

EID: 33847056268     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2006.05.002     Document Type: Article

References (36)

1. Lades M., Vorbruggen J.C., Buhmann J., Lange J., Von der Malsburg C., Wurtz R.P., and Konen W. Distortion invariant object recognition in the Dynamic Link Architecture. IEEE Transactions on Computers 42 3 (1993) 300-311
2. Wiskott L., Fellous J.M., Kruger N., and Von der Malsburg C. Face recognition by elastic bunch graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence 19 7 (1997) 775-779
3. A. Nefian, M. Hayes, An embedded hmm-based approach for face detection and recognition, in: Proceedings of IEEE International Conference On Acoustics, Speech and Signal Processing, 1999, pp. 3553-3556.
4. Turk M., and Pentland A. Eigenfaces for recognition. Journal of Cognitive Neuroscience 3 1 (1991) 71-86
5. Belhumeur P.N., Hespanha J.P., and Kriegman D.J. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Transactions on Pattern Analysis and Machine Intelligence 19 7 (1997) 711-720
6. Bartlett M.S., Movellan J.R., and Sejnowski T.J. Face recognition by independent component analysis. IEEE Transactions on Neural Networks 13 6 (2002) 1450-1464
7. Draper B.A., Baek K., Bartlett M.S., and Beveridge J.R. Recognizing faces with PCA and ICA. Computer Vision and Image Understanding 91 1-2 (2003) 115-137
8. Phillips P.J., Moon H., Rizvi S.A., and Rauss P.J. The FERET evaluation methodology for face-recognition algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence 22 10 (2000) 1090-1104
9. Scholkopf B., Mika S., Burges C.J.C., Knirsch P., Muller K.R., Ratsch G., and Smola A.J. Input space versus feature space in kernel-based methods. IEEE Transactions on Neural Networks 10 5 (1999) 1000-1017
10. Kim K.I., Jung K., and Kim H.J. Face recognition using kernel principal component analysis. IEEE Signal Processing Letters 9 2 (2002) 40-42
11. Liu C.J. Gabor-based kernel PCA with fractional power polynomial models for face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 26 5 (2004) 572-581
12. M. Yang, Kernel Eigenfaces vs. Kernel Fisherfaces: face recognition using Kernel methods, in: Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition Washington, DC, 2002, pp. 205-211.
13. Liu Q.S., Huang R., Lu H.Q., and Ma S.D. Kernel-based nonlinear discriminant analysis for face recognition. Journal of Computer Science and Technology 18 6 (2003) 788-795
14. Baudat G., and Anouar F.E. Generalized discriminant analysis using a kernel approach. Neural Computation 12 10 (2000) 2385-2404
15. Cristianini Nello, Shawe-Taylor John, An introduction to Support Vector Machines and Other Kernel-based Learning Methods, Cambridge University Press, 2000.
16. P.J. Phillips, Support vector machines applied to face recognition, in: Proceedings of the 1998 Conference on Advances in Neural Information Processing Systems II, MIT Press, 1999, pp. 803-809.
17. Jonsson K., Kittler J., Li Y.P., and Matas J. Support vector machines for face authentication. Image and Vision Computing 20 5-6 (2002) 369-375
18. Liu C.J., and Wechsler H. Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition. IEEE Transactions on Image Processing 11 4 (2002) 467-476
19. E.B. Baillere, S. Bengio, The BANCA database and evaluation protocol, in: Proceedings of the 4th International Conference on Audio- and Video-Based Biometric Person Authentication Guilford, UK, 2003, pp. 625-638.
20. K. Messer, J. Kittler, M. Sadeghi, M. Hamouz, A. Kostin, F. Cardinaux, S. Marcel, S. Bengio, C. Sanderson, N. Poh, Y. Rondriguez, J. Czyz, L. Vandendorpe, C. McCool, S. Lowther, S. Sridharan, V. Chandran, R.P. Palacios, E. Vidal, L. Bai, L. Shen, Y. Wang, Y.H. Chiang, H.C. Liu, Y.P. Huang, A. Heinrichs, M. Miiller, A. Tewes, C.v.d. Malsburg, R. Wiirtz, Z.G. Wang, F. Xue, Y. Ma, Q. Yang, C. Fang, X.Q. Ding, S. Lucey, R. Goss, H. Schneiderman, Face authentication test on the BANCA database, in: Proceedings of International Conference on Pattern Recognition, Cambridge, UK, 2004, pp. 523-532.
21. Jain A.K., and Farrokhnia F. Unsupervised Texture Segmentation Using Gabor Filters. Pattern Recognition 24 12 (1991) 1167-1186
22. Weldon T.P., Higgins W.E., and Dunn D.F. Efficient Gabor filter design for texture segmentation. Pattern Recognition 29 12 (1996) 2005-2015
23. Hamamoto Y., Uchimura S., Watanabe M., Yasuda T., Mitani Y., and Tomita S. A Gabor filter-based method for recognizing handwritten numerals. Pattern Recognition 31 4 (1998) 395-400
24. Lee C.J., and Wang S.D. Fingerprint feature extraction using Gabor filters. Electronics Letters 35 4 (1999) 288-290
25. Fukunnaga K. Introduction to Statistical Pattern Recognition. second ed. (1991), Academic Press
26. Swets D.L., and Weng J.J. Using discriminant eigenfeatures for image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence 18 8 (1996) 831-836
27. Lu J.W., Plataniotis K.N., and Venetsanopoulos A.N. Regularized discriminant analysis for the small sample size problem in face recognition. Pattern Recognition Letters 24 16 (2003) 3079-3087
28. C.J. Liu, H. Wechsler, Enhanced fisher linear discriminant models for face recognition, in: Proceedings of International Conference on Pattern Recognition, 1998, pp. 1368-1372.
29. Yu H., and Yang H. A direct LDA algorithm for high-dimensional data - with application to face recognition. Pattern Recognition 34 10 (2001) 2067-2070
30. Er M.J., Wu S.Q., Lu J.W., and Ton H.L. Face recognition with radial basis function (RBF) neural networks. IEEE Transactions on Neural Networks 13 3 (2002) 697-710
31. L. Bai, L. Shen, Combining wavelet and HMM for face recognition, in: Proceedings of the 23rd Artificial Intelligence Conference, Cambridge,UK, 2003, pp. 227-234.
32. J.R. Beveridge, K. She, B. Draper, A nonparametric statistical comparison of principal component analysis and linear discriminant subspaces for face recognition, in: Proceeding of IEEE International Conference on Computer Vision and Pattern Recognition, 2001.
33. Martinez A.M., and Kak A.C. PCA versus LDA. IEEE Transactions on Pattern Analysis and Machine Intelligence 23 2 (2001) 228-233
34. P. Yang, S.G. Shan, W. Gao, S.Z. Li, D. Zhang, Face recognition using ada-boosted gabor features, in: Sixth IEEE International Conference on Automatic Face and Gesture Recognition, Proceedings, 2004, pp. 356-361.
35. L. Shen, L. Bai, Mutual Boost learning for selecting Gabor features for face recognition, Pattern Recognition Letters, in press, doi:10.1016/j.patrec.2006.02.005.
36. L. Shen, L. Bai, Information theory for Gabor feature selection for face recognition, Eurasip Journal on Applied Signal Processing, in press, doi:10.1155/ASP/2006/30274.