New LDA-based face recognition system which can solve the small sample size problem

Pattern Recognition

Volumn 33, Issue 10, 2000, Pages 1713-1726

  Chen, Li Fen ^a   Liao, Hong Yuan Mark ^b   Ko, Ming Tat ^b   Lin, Ja Chen ^a   Yu, Gwo Jong ^c  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^c NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; LINEAR ALGEBRA; VECTORS;

FACE RECOGNITION; LINEAR DISCRIMINANT ANALYSIS (LDA); PRINCIPAL COMPONENT ANALYSIS (PCA);

FEATURE EXTRACTION;

EID: 0034300875     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(99)00139-9     Document Type: Article

References (26)

1. R. Chellappa C. Wilson S. Sirohey Human and machine recognition of faces a survey Proc. IEEE 83 5 1995 705 740
2. D. Valentin H. Abdi A. O'Toole G. Cottrell Connectionist models of face processing a survey Pattern Recognition 27 9 1994 1209 1230
3. R. Brunelli T. Poggio Face recognition features versus templates IEEE Trans. Pattern Anal. Mach. Intell. 15 10 1993 1042 1052
4. A. Samal P. Iyengar Automatic recognition and analysis of human faces and facial expressions a survey Pattern Recognition 25 1 1992 65 77
5. S.H. Jeng H.Y. Mark Liao C.C. Han M.Y. Chern Y.T. Liu Facial feature detection using geometrical face model an efficient approach Pattern Recognition 31 3 1998 273 282
6. C.C. Han, H.Y. Mark Liao, G.J. Yu, L.H. Chen, Fast face detection via morphology-based pre-processing, Pattern Recognition 1999, to appear.
7. H.Y. Mark Liao, C.C. Han, G.J. Yu, H.R. Tyan, M.C. Chen, L.H. Chen, Face recognition using a face-only database: a new approach, Proceedings of the third Asian Conference on Computer Vision, Hong Kong, Lecture Notes in Computer Science, Vol. 1352, 1998, pp. 742–749.
8. B. Moghaddam A. Pentland Probabilistic visual learning for object representation IEEE Trans. Pattern Anal. Mach. Intell. 19 7 1997 696 710
9. M. Turk A. Pentland Eigenfaces for recognition J. Cognitive Neurosci. 3 1 1991 71 86
10. K. Liu Y. Cheng J. Yang Algebraic feature extraction for image recognition based on an optimal discriminant criterion Pattern Recognition 26 6 1993 903 911
11. F. Goudail E. Lange T. Iwamoto K. Kyuma N. Otsu Face recognition system using local autocorrelations and multiscale integration IEEE Trans. Pattern Anal. Mach. Intell. 18 10 1996 1024 1028
12. D. Swets J. Weng Using discriminant eigenfeatures for image retrieval IEEE Trans. Pattern Anal. Mach. Intell. 18 8 1996 831 836
13. P.N. Belhumeur J.P. Hespanha D.J. Kiregman Eigenfaces vs. fisherfaces recognition using class specific linear projection IEEE Trans. Pattern Anal. Mach. Intell. 19 7 1997 711 720
14. K. Fukunaga Introduction to Statistical Pattern Recognition 1990 Academic Press New York
15. Q. Tian M. Barbero Z.H. Gu S.H. Lee Image classification by the Foley–Sammon transform Opt. Eng. 25 7 1986 834 840
16. Zi-Quan Hong Jing-Yu Yang Optimal discriminant plane for a small number of samples and design method of classifier on the plane Pattern Recognition 24 4 1991 317 324
17. Y.Q. Cheng Y.M. Zhuang J.Y. Yang Optimal fisher discriminant analysis using the rank decomposition Pattern Recognition 25 1 1992 101 111
18. K. Liu Y. Cheng J. Yang A generalized optimal set of discriminant vectors Pattern Recognition 25 7 1992 731 739
19. K. Liu Y.Q. Cheng J.Y. Yang X. Liu An efficient algorithm for Foley–Sammon optimal set of discriminant vectors by algebraic method Int. J. Pattern Recog. Artif. Intell. 6 5 1992 817 829
20. D.H. Foley J.W. Sammon An optimal set of discriminant vectors IEEE Trans. Comput. 24 1975 281 289
21. L.F. Chen, H.Y.M. Liao, C.C. Han, J.C. Lin, Why a statistics-based face recognition system should base its recognition on the pure face portion: a probabilistic decision-based proof, Proceedings of the 1998 Symposium on Image, Speech, Signal Processing and Robotics, The Chinese University of Hong Kong, September 3–4, 1998 (invited), pp. 225–230.
22. A. Fisher The Mathematical Theory of Probabilities 1923 Macmillan New York
23. G.W. Stewart Introduction to Matrix Computations 1973 Academic Press New York
24. B. Noble J.W. Daniel Applied Linear Algebra 1988 Prentice-Hall Englewood Cliffs, NJ
25. R.C. Gonzalez R.E. Woods Digital Image Processing 1992 Addison-Wesley Reading, MA
26. A.K. Jain R.C. Dubes Algorithms for Clustering Data 1988 Prentice-Hall Englewood Cliffs, NJ