Improved-LDA based face recognition using both facial global and local information

Pattern Recognition Letters

Volumn 27, Issue 6, 2006, Pages 536-543

  Zhou, Dake ^a   Yang, Xin ^a   Peng, Ningsong ^a   Wang, Yuzhong ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Discrete cosine transform (DCT); Eigenfaces; Face recognition (FR); Fisherfaces; Linear discriminant analysis (LDA); Principal component analysis (PCA)

Indexed keywords

COSINE TRANSFORMS; DATABASE SYSTEMS; LIGHTING; PROBLEM SOLVING; ROBUSTNESS (CONTROL SYSTEMS);

DISCRETE COSINE TRANSFORM (DCT); FISHERFACES; LINEAR DISCRIMINANT ANALYSIS (LDA);

FACE RECOGNITION;

EID: 32844475052     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2005.09.015     Document Type: Article

References (21)

1. P. Belhumeur, J. Hespanha, and D. Kriegman Eigenfaces vs. Fisherfaces: recognition using class specific linear projection IEEE Trans. Pattern Anal. Machine Intell. 19 7 1997 711 720
2. R. Brunelli, and T. Poggio Face recognition: features versus templates IEEE Trans. Pattern Anal. Machine Intell. 15 10 1993 1042 1052
3. R. Chellappa, C.L. Wilson, and S. Sirohey Human and machine recognition of faces: a survey Proc. IEEE 83 5 1995 705 740
4. K. Etemad, and R. Chellappa Discriminant analysis for recognition of human face images J. Opt. Soc. Am. A: Opt. Image Sci. Vision 14 8 1997 1724 1733
5. G.C. Feng, and P.C. Yuen Multi-cues eye detection on gray intensity image Pattern Recognition 34 2001 1033 1046
6. K. Fukunaga Introduction to Statistical Pattern Recognition 1990 Academic Press
7. Z.M. Hafed, and M.D. Levine Face recognition using the discrete cosine transform Int. J. Comput. Vision 43 3 2001 167 188
8. A.K. Jain, R. Duin, and J. Mao Statistical pattern recognition: a review IEEE Trans. Pattern Anal. Machine Intell. 22 1 2000 4 37
9. X.-Y. Jing, and D. Zhang A face and palmprint recognition approach based on discriminant DCT feature extraction IEEE Trans. System Man Cybernet.-Part B 34 6 2004 2405 2415
10. Liu, C., Wechsler, H., 1998. Enhanced fisher linear discriminant model for face recognition. In: 14th Int. Conf. Pattern Recognition, Brisbane, Australia.
11. M. Loog, R.P.W. Duin, and R. Haeb-Umbach Multiclass linear dimension reduction by weighted pairwise Fisher criteria IEEE Trans. Pattern Anal. Machine Intell. 23 2001 762 766
12. R. Lotlikar, and R. Kothari Fractional-step dimensionality reduction IEEE Trans. Pattern Anal. Machine Intell. 22 2000 623 627
13. B. Moghaddam, and A. Pentland Probabilistic visual learning for object representation IEEE Trans. Pattern Anal. Machine Intell. 19 7 1997 696 710
14. K. Rao, and P. Yip Discrete Cosine Transform-Algorithms, Advantages, Applications 1990 Academic New York, NY
15. Sukthankar, G., 2000. Face recognition: a critical look at biologically-inspired approaches. Technical Report: CMURI- TR-00-04, Carnegie Mellon University, Pittsburgh, PA.
16. D. Swets, and J. Weng Using discriminant eigenfeatures for image retrieval IEEE Trans. Pattern Anal. Machine Intell. 18 8 1996 831 836
17. M. Turk, and A. Pentland Eigenfaces for recognition J. Cognitive Neurosci. 3 1 1991 71 86
18. L. Wiskott, J.M. Fellous, N. Kruger, and C. Malsburg Face recognition by elastic bunch graph matching IEEE Trans. Pattern Anal. Machine Intell. 19 7 1997 775 780
19. H. Yu, and J. Yang A direct LDA algorithm for high-dimensional data with application to face recognition Pattern Recognition 34 2001 2067 2070
20. W. Zhao, R. Chellappa, A. Rosenfeld, and P.J. Phillips Face recognition: a literature survey ACM Comput. Surveys 35 4 2003 399 458
21. Zhou, D.K.,Yang, X., 2004. Face recognition using improved LDA. In: International Conference on Image Analysis and Recognition, 2004, Porto, Portugal, pp. 692-699.