A Bayesian approach to deformed pattern matching of iris images

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 29, Issue 4, 2007, Pages 596-606

  Thornton, Jason ^a   Savvides, Marios ^a   Kumar, B V K Vijaya ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Image processing; Iris recognition; Pattern matching; Statistical models for pattern recognition

Indexed keywords

BAYESIAN NETWORKS; PATTERN MATCHING; PROBABILITY; STATISTICAL METHODS;

IRIS RECOGNITION; MAXIMUM A POSTERIORI PROBABILITY; PATTERN WARPING;

BIOMETRICS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HISTOLOGY; HUMAN; IMAGE SUBTRACTION; IRIS; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BIOMETRY; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IRIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 33947516760     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.1006     Document Type: Article

References (31)

1. E. Levin and R. Pieraccini, "Dynamic Planar Warping for Optical Character Recognition," Proc. IEEE Int'l Conf Acoustics, Speech, and Signal Processing (ICASSP '92), pp. 149-152, Mar. 1992.
2. J. Duncan and N. Ayache, "Medical Image Analysis: Progress over Two Decades and the Challenges Ahead," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 1, pp. 85-106, Jan. 2000.
3. J. Daugman, "How Iris Recognition Works," IEEE Trans. Circuits and Systems for Video Technology, vol. 14, no. 1, pp. 21-30, Jan. 2004.
4. J. Daugman, "High Confidence Visual Recognition of Persons by a Test of Statistical Independence," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, no. 11, pp. 1148-1161, Nov. 1993.
5. R.P. Wildes, "Iris Recognition: An Emerging Biometric Technology," Proc. IEEE, vol. 85, no. 9, pp. 1348-1363, Sept. 1997.
6. W.W. Boles, "A Security System Based on Human Iris Identification Using Wavelet Transform," Proc. Int'l Conf. Knowledge-Based Intelligent Electronic Systems, pp. 533-541, May 1997.
7. L. Ma, T. Tan, Y. Wang, and D. Zhang, "Personal Identification Based on Iris Texture Analysis," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 25, no. 12, pp. 1519-1533, Dec. 2003.
8. R. Wildes, "Iris Recognition," Biometric Systems, J. Wayman, A. Jain, D. Maltoni, and D. Maio, eds., chapter 3, pp. 63-95, Springer, 2005.
9. "Casia Iris Image Database," http://www.sinobiometrics.com, 2004.
10. C. Fancourt, L. Bogoni, K. Hanna, Y. Guo, R. Wildes, N. Takahashi, and U. Jain, "Iris Recognition at a Distance," Proc. Audio and Video-Based Biometric Person Authentication Conf., pp. 1-13, July 2005.
11. J. Huang, T. Tan, L. Ma, and Y. Wang, "Phase Correlation Based Iris Image Registration Model," Computer Science and Technology, vol. 20, no. 3, pp. 419-425, May 2005.
12. B. Horn and B. Schunck, "Determining Optical Flow," Artificial Intelligence, vol. 17, pp. 185-203, 1981.
13. B. Lucas and T. Kanade, "An Iterative Image Registration Technique with an Application to Stereo Vision," Proc. Int'l Joint Conf. Artificial Intelligence, pp. 674-679, 1981.
14. S. Baker and I. Matthews, "Lucas-Kanade 20 Years On: A Unifying Framework," Int'l J. Computer Vision, vol. 56, no. 3, pp. 221-255, Mar. 2004.
15. E. Simoncelli, "Bayesian Multi-Scale Differential Optical Flow," Handbook of Computer Vision and Applications, H.H.B. Jahne and P. Geissler, eds., vol. 2, chapter 14, pp. 397-422, Academic Press, 1999.
16. T.F. Cootes and C.J. Taylor, "Statistical Models of Appearance for Medical Image Analysis and Computer Vision," Proc. SPIE Medical Imaging, pp. 236-248, 2001.
17. R. Gross, I. Matthews, and S. Baker, "Constructing and Fitting Active Appearance Models with Occlusion," Proc. Conf. Computer Vision and Pattern Recognition, pp. 72-80, June 2004.
18. B.V.K. Vijaya Kumar, "Tutorial Survey of Composite Filter Designs for Optical Correlators," Applied Optics, vol. 31, pp. 4773-4801, 1992.
19. B.V.K. Vijaya Kumar, M. Savvides, K. Venkataramani, and C. Xie, "Spatial Frequency Domain Image Processing for Biometric Recognition," Proc. Int'l Conf. Image Processing, pp. 53-56, Sept. 2002.
20. B.V.K. Vijaya Kumar, D.W. Carlson, and A. Mahalanobis, "Optimal Trade-Off Synthetic Discriminant Function Filters for Arbitrary Devices," Optics Letters, vol. 19, pp. 1556-1558, 1994.
21. A. Mahalanobis, B.V.K. Vijaya Kumar, and D. Casasent, "Minimum Average Correlation Energy Filters," Applied Optics, vol. 26, pp. 3630-3633, 1987.
22. M. Tekalp, Digital Video Processing. Prentice Hall, 1995.
23. P. Refregier, "Optimal Trade-Off Filters for Noise Robustness, Sharpness of the Correlation Peak, and Horner Efficiency," Optics Letters, vol. 16, pp. 829-831, 1991.
24. M. Savvides and B.V.K. Vijaya Kumar, "Efficient Design of Advanced Correlation Filters for Robust Distortion-Tolerant Face Recognition," Proc. IEEE Conf. Advanced Video and Signal-Based Surveillance, pp. 45-52, July 2003.
25. J. Thornton, M. Savvides, and B.V.K. Vijaya Kumar, "Robust Iris Recognition Using Advanced Correlation Techniques," Proc. Int'l Conf. Image Analysis and Recognition, pp. 1098-1105, 2005.
26. L. Masek, "Recognition of Human Iris Patterns for Biometric Identification," thesis, Univ. of Western Australia, http://www.csse.uwa.edu.au/pk/studentprojects/libor/, 2003.
27. H. Rue and L. Held, Gaussian Markov Random Fields: Theory and Applications. Chapman & Hall, 2005.
28. P. Perez, "Markov Random Fields and Images," CWI Quarterly, vol. 11, no. 4, pp. 413-437, 1998.
29. J. Pearl, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, 1988.
30. B.V.K. Vijaya Kumar and J. Thornton, "Distortion-Tolerant Iris Recognition Using Advanced Correlation Filters," Proc. Multi-Modal User Authentication, pp. 173-180, Dec. 2003.
31. T. Gautama and M.M. Van Hulle, "A Phase-Based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering," IEEE Trans. Neural Networks, vol. 13, no. 5, pp. 1127-1136, 2002.