A face and palmprint recognition approach based on discriminant DCT feature extraction

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 34, Issue 6, 2004, Pages 2405-2415

  Jing, Xiao Yuan ^a   Zhang, David ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

DCT frequency band selection; Discrete cosine transform (DCT); Improved Fisherface method; Linear discrimination technique; Two dimensional (2 D) separability judgment

Indexed keywords

COSINE TRANSFORMS; DATABASE SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; FACE RECOGNITION; FREQUENCY DOMAIN ANALYSIS; IMAGE PROCESSING;

DCT FREQUENCY BAND SELECTION; DISCRETE COSINE TRANSFORM (DCT); IMPROVED FISHERFACE METHOD; LINEAR DISCRIMINATION TECHNIQUE; TWO DIMESIONAL SEPARABILITY JUDGMENT;

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DERMATOGLYPHICS; DISCRIMINANT ANALYSIS; EVALUATION; FACE; HAND; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DERMATOGLYPHICS; DISCRIMINANT ANALYSIS; FACE; HAND; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE;

EID: 10044295195     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2004.837586     Document Type: Article

References (30)

1. W. Li, D. Zhang, and Z. Xu, "Palmprint identification by Fourier transform," Int. J. Pattern Recognit. Artif. Intell., vol. 16, no. 4, pp. 417-432, 2002.
2. J. H. Lai, P. C. Yuen, and G. C. Feng, "Face recognition using holistic Fourier invariant features," Pattern Recognit., vol. 34, no. 1, pp. 95-109, 2001.
3. R. Chellappa, C. Wilson, and S. Sirohey, "Human and machine recognition of faces: A survey," Proc. IEEE, vol. 83, pp. 705-740, May 1995.
4. Y. Tian, T. N. Tan, Y. H. Wang, and Y. C. Fang, "Do singular values contain adequate information for face recognition?," Pattern Recognit., vol. 36, no. 3, pp. 649-655, 2003.
5. Z. M. Hafed and M. D. Levine, "Face recognition using the discrete cosine transform," Int. J. Comput. Vis., vol. 43, no. 3, pp. 167-188, 2001.
6. M. Turk and A. Pentland, "Eigenfaces for recognition," Int. J. Cog. Neurosci., vol. 3, no. 1, pp. 71-86, 1991.
7. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, "Eigenfaces vs. fisherface: Recognition using class specific linear projection," IEEE Trans. Pattern Anal. Machine Intell., vol. 19, pp. 711-720, July 1997.
8. A. M. Martinez and A. C. Kak, "PCA versus LDA," IEEE Trans. Pattern Anal. Machine Intell., vol. 23, pp. 228-233, Feb. 2001.
9. R. A. Fisher, "The use of multiple measurements in taxonomic problems," Ann. Eugenics, vol. 7, pp. 178-188, 1936.
10. C. Liu and H. Wechsler, "Robust coding scheme for indexing and retrieval from large face databases," IEEE Trans. Image Processing vol. 9, pp. 132-137, Jan. 2000.
11. C. Liu, "A shape- and texture-based enhanced Fisher classifier for face recognition," IEEE Trans. Image Processing, vol. 10, pp. 598-608, Apr. 2001.
12. L. Chen, H. M. Liao, M. Ko, J. Lin, and G. Yu, "A new LDA-based face recognition system which can solve the small sample size problem," Pattern Recognit., vol. 33, no. 10, pp. 1713-1726, 2000.
13. H. Yu and J. Yang, "A direct LDA algorithm for high-dimensional data with application to face recognition," Pattern Recognit., vol. 34, no. 12, pp. 2067-2070, 2001.
14. J. T. Chien and C. C. Wu, "Discriminat waveletfaces and nearest feature classifiers for face recognition," IEEE Trans. Pattern Anal. Machine Intell., vol. 24, pp. 1644-1649, Dec. 2002.
15. D. Zhang, H. Peng, J. Zhou, and S. K. Pal, "A novel face recognition system using hybrid neural and dual eigenfaces methods," IEEE Trans. Syst., Man, Cybern. A, vol. 32, pp. 787-793, Nov. 2002.
16. W. Malina, "Two-parameter Fisher criterion," IEEE Trans. Syst., Man, Cybern. B, vol. 31, pp. 629-636, Aug. 2001.
17. T. Cooke, "Two variations on Fisher's linear discrimination for pattern recognition," IEEE Trans. Pattern Anal. Machine Intell., vol. 24, pp. 268-273, Feb. 2002.
18. M. H. Yang, "Kernel eigenfaces vs. kernel fisherfaces: Face recognition using kernel methods," in IEEE Proc. 5th Int. Conf. Automatic Face Gesture Recognition (RGR), pp. 215-220.
19. M. S. Bartlett, J. R. Movellan, and T. J. Sejnowski, "Face recognition by independent component analysis," IEEE Trans. Neural Network, vol. 13, pp. 1450-1464, Nov. 2002.
20. A. Rosenfeld and A. Kak, Digital Picture Processing. New York: Academic, 1976.
21. A. Jain, Fundamentals of Digital Image Processing. Englewood Cliffs, NJ: Prentice-Hall, 1989.
22. D. Zhang, Automated Biometrics - Technologies and Systems. Norwell, MA: Kluwer, 2000.
23. D. Zhang, W. K. Kong, J. You, and M. Wong, "On-line palmprint identification," IEEE Trans. Pattern Anal. Machine Intell., vol. 25, pp. 1041-1050, Sept. 2003.
24. X. Y. Jing, D. Zhang, and J. Y. Yang, "Face recognition based on a group decision-making combination approach," Pattern Recognit., vol. 36, no. 7, pp. 1675-1678, 2003.
25. X. Y. Jing, D. Zhang, and Y. F. Yao, "Improvements on the linear discrimination technique with application to face recognition," Pattern Recognit. Lett., vol. 24, no. 15, pp. 2695-2701, 2003.
26. X. Y. Jing, D. Zhang, and Z. Jin, "UODV: Improved algorithm and generalized theory," Pattern Recognit., vol. 36, no. 11, pp. 2593-2602, 2003.
27. X. Wu, D. Zhang, and K. Wang, "Fisherpalms based on palmprint recognition," Pattern Recognit. Lett., vol. 24, no. 15, pp. 2829-2938, 2003.
28. J. Ko and H. Byun, "N-division output coding method applied to face recognition," Pattern Recognit. Lett., vol. 24, no. 16, pp. 3115-3123, 2003.
29. J. Yang and J. Y. Yang, "From image vector to matrix: A straightforward image projection technique - IMPCA vs. PCA," Pattern Recognit., vol. 35, no. 9, pp. 1997-1999, 2002.
30. D. Q. Dai and P. C. Yuen, "Regularized discriminant analysis and its application to face recognition," Pattern Recognit., vol. 36, no. 3, pp. 845-847, 2003.