Local intensity variation analysis for iris recognition

Pattern Recognition

Volumn 37, Issue 6, 2004, Pages 1287-1298

  Ma, Li ^a   Tan, Tieniu ^a   Wang, Yunhong ^a   Zhang, Dexin ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

Biometrics; Fisher linear discriminant; Gaussian Hermite moments; Iris recognition; Local intensity variations

Indexed keywords

IMAGE ANALYSIS; INFORMATION ANALYSIS; MAPPING; SIGNAL PROCESSING;

BIOMETRICS; HUMAN IDENTIFICATION; LOCAL INTENSITY; VARIATION ANALYSIS;

PATTERN RECOGNITION;

PATTERN RECOGNITION;

EID: 2142713919     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2004.02.001     Document Type: Article

References (32)

1. A. Jain, R. Bolle, S. Pankanti (Eds.), Biometrics: Personal Identification in a Networked Society, Kluwer, Norwell, MA, 1999.
2. Zhang D. Automated Biometrics: Technologies and Systems 2000 Kluwer Norwell, MA
3. T. Mansfield, G. Kelly, D. Chandler, J. Kane, Biometric Product Testing Final Report, issue 1.0, National Physical Laboratory of UK, 2001.
4. Daugman J. Statistical richness of visual phase information: Update on recognizing persons by iris patterns Int. J. Comput. Vision 45 1 2001 25-38
5. Wildes R. Iris recognition: An emerging biometric technology Proc. IEEE 85 1997 1348-1363
6. Adler F. Physiology of the Eye: Clinical Application 4th Edition 1965 The C.V. Mosby Company London
7. Davision H. The Eye 1962 Academic London
8. R. Johnson, Can Iris Patterns be Used to Identify People?, Chemical and Laser Sciences Division LA-12331-PR, Los Alamos National Laboratory, Los Alamos, CA, 1991.
9. Bertillon A. La couleur de l'iris Rev. Sci. 36 3 1885 65-73
10. Siedlarz J. Iris: more detailed than a fingerprint IEEE Spectrum 31 1994 27
11. Daugman J. High confidence visual recognition of persons by a test of statistical independence IEEE Trans. Pattern Anal. Mach. Intell. 15 11 1993 1148-1161
12. Daugman J. Demodulation by complex-valued wavelets for stochastic pattern recognition Int. J. Wavelets, Multi-resolution Inform. Process. 1 1 2003 1-17
13. Wildes R. Asmuth J. Green G. Hsu S. Kolczynski R. Matey J. McBride S. A machine-vision system for iris recognition Mach. Vision Appl. 9 1996 1-8
14. L. Flom, A. Safir, Iris recognition system, US Patent No. 4641394, 1987.
15. J. Daugman, Biometric personal identification system based on iris analysis, US Patent No. 5291560, 1994.
16. R. Wildes, J. Asmuth, S. Hsu, R. Kolczynski, J. Matey, S. Mcbride, Automated, noninvasive iris recognition system and method, US Patent No. 5572596, 1996.
17. Boles W. Boashash B. A human identification technique using images of the iris and wavelet transform IEEE Trans. Signal Process. 46 4 1998 1185-1188
18. Lim S. Lee K. Byeon O. Kim T. Efficient iris recognition through improvement of feature vector and classifier ETRI J. 23 2 2001 61-70
19. Y. Zhu, T. Tan, Y. Wang, Biometric personal identification based on iris patterns, Proceedings of the 15th International Conference on Pattern Recognition, Vol. II, 2000, pp. 805-808.
20. L. Ma, Y. Wang, T. Tan, Iris recognition based on multichannel gabor filtering, Proceedings of the Fifth Asian Conference on Computer Vision, Vol. I, 2002, pp. 279-283.
21. L. Ma, Y. Wang, T. Tan, Iris recognition using circular symmetric filters, Proceedings of the 16th International Conference on Pattern Recognition, Vol. II, 2002, pp. 414-417.
22. Prokop R. Reeves A. A survey of moment-based techniques for unoccluded object representation and recognition CVGIP: Graphical models Image Process. 54 1992 438-460
23. Liao S. Pawlak M. On image analysis by moments IEEE Trans. Pattern Analysis and Machine Intelligence 18 3 1996 254-266
24. Loncaric S. A survey of shape analysis techniques Pattern Recognition 31 8 1998 983-1001
25. J. Shen, Orthogonal Gaussian-Hermite moments for image characterization, Proceedings of SPIE, Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling, 1997, pp. 224-233.
26. Shen J. Shen W. Shen D. On geometric and orthogonal moments Inter. J. Pattern Recognition Artif. Intell. 14 7 2000 875-894
27. Belhumeur P. Hespanha J. Kriegman D. Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection IEEE Trans. Pattern Anal. Mach. Intell. 19 7 1997 711-720
28. W. Zhao, R. Chellappa, P. Phillips, Subspace linear discriminant analysis for face recognition, Tech. Report CAR-TR-914, Center for Automation Research, University of Maryland, 1999.
29. Liu C. Wechsler H. Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition IEEE Trans. Image Process. 11 4 2002 467-476
30. Swets D. Weng J. Using discriminant eigenfeatures for image retrieval IEEE Trans. Pattern Anal. Mach. Intell. 18 8 1996 831-836
31. Fukunaga K. Introduction to Statistical Pattern Recognition 2nd Edition 1991 Academic Press New York
32. A. Mansfield, J. Wayman, Best Practice Standards for Testing and Reporting on Biometric Device Performance, National Physical Laboratory of UK, 2002.