Iris recognition

Guide to Biometric Reference Systems and Performance Evaluation

Volumn , Issue , 2009, Pages 25-49

  Krichen, Emine ^a   Dorizzi, Bernadette ^a   Sun, Zhenan ^b   Garcia Salicetti, Sonia ^a  

^a TELECOM SUDPARIS   (France)

^b INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 70450209665     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-84800-292-0_3     Document Type: Chapter

References (36)

1. W.W. Boles and B. Boashash. A human identification technique using images of the iris and wavelet transform. IEEE Trans. on Signal Processing, 46(4):1185-1188, 1998.
2. H. Proença and L.A Alexandre. Ubiris: A noisy iris image database-http://iris.di.ubi.pt/, 2005.
3. J. Canny. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 8, 1986.
4. CASIA. Iris images database-www.sinobiometrics.com, 2002.
5. Sarnoff Corporation. Iris on the move-http://www.sarnoff.com/products/ iris-on-the-move, 2006
6. BATH database from Bath University. http://www.bath.ac.uk/elec-eng/pages/ sipg/irisweb/index.htm, 2003.
7. J. Daugman. Complete discrete 2-d gabor transforms by neural networks for image analysis and compression. IEEE Transactions on Acoustics, Speech and Signal Processing, 36:1169-1179, 1988.
8. J. Daugman. High confidence visual recognition of persons by a test of statistical independence. IEEE Transactions: Pattern Analysis and Machine Intelligence, 15:1148-1161, 1993.
9. J. Daugman. How iris recognition works. In Intl. Conf. on Image Processing, Vol. 1, 2002.
10. J. Daugman. The importance of being random: Statistical principles of iris recognition. Pattern Recognition, 36(2):120-123, 2003.
11. J. Daugman. Flat roc curves, steep predictive quality metrics: Response to nistir-7440 and frvt/ice2006 reports, 2007.
12. J. Daugman and C. Downing. Epigenetic randomness, complexity and singularity of human iris patterns. Proceedings of the Royal Society, 268:1737-1740, 2001.
13. J.G. Daugman. Statistic richness of visual phase information: Update on recognizing persons by iris patterns. Int. J. Computer Vision, 45:25-38, 2001.
14. M. Dobe and L. Machala. Upol iris database-http://www.inf.upol.cz/iris/, 2003.
15. R.O. Duda and P.E. Hart. Use of the hough transformation to detect lines and curves in pictures. Comm. ACM, 15:11-15, 1972.
16. International Biometrics Group. Independent testing of iris recognition technology-http://biometricgroup.com/reports/public/reports/itirt report.htm, 2005.
17. F. Hao, R. Anderson, and J. Daugman. Combining crypto with biometrics effectively. IEEE Transactions on Computers, pages 1081-1088, 2006.
18. J. Illingworth and J. Kittler. A survey of the hough transform. Comput. Vision Graph. Image Process., 44(1):87-116, 1988.
19. E. Krichen, L. Allano, S. Garcia-Salicetti, and B. Dorizzi. Specific texture analysis for iris recognition. In AVBPA, 2005.
20. B.V.K Vijaya Kumar, C. Xie, and J. Thornton. Iris verification using correlation filters. In Proceedings of the 4th International Conference on Audio-and Video-Based Biometric Person Authentication, AVBPA, pages 697-705. J. Kittler and M.S. Nixon, 2003.
21. Miles Rsearch Laboratory. Iris imaging systems-www.milesresearch.com, 2005.
22. J.P. Lewis. Fast template matching. Vision Interface, pages 120-123, 1995.
23. X. Liu, K.W. Bowyer, and P.J. Flynn. Iris recognition and verification experiments with improved segmentation method. In Proc. Fourth IEEE Workshop on Automatic Identification Advanced Techniques, AutoID, pages 118-123, 2005.
24. L. Ma, T. Tan, Y. Wang, and D. Zhang. Personal identification based on iris texture analysis. IEEE Trans. Pattern Analysis and Machine Intelligence, 25(12):1519-1533, 2003.
25. Libor Masek. Recognition of human iris patterns-www.milesresearch.com, 2003.
26. J. Mira and J. Mayer. Identification of individuals through the morphological processing of the iris. In ICIP, pages 341-344, 2003.
27. K. Miyazawa, K. Ito, and H. Nakajima. A phased-based iris recognition algorithm. In International Conference in Biometrics, ICB, pages 356-365, 2006.
28. S. Noh, K. Bae, and J. Kim. A novel method to extract features for iris recognition system. In Proceedings of the 4th International Conference on Audio-and Video-Based Biometric Person Authentication, AVBPA, pages 838-844, 2003.
29. A.V. Oppenheim and J.S. Lim. The importance of phase in signals. Proc. of the IEEE, 69:529-541, 1981.
30. J. Philips. Ice-http://iris.nist.gov/ice/, 2005.
31. P.J. Phillips, W. Todd Scruggs, A.J. O'Toole, P.J. Flynn, K.W. Bowyer, C.L. Schott, and M. Sharpe. Frvt 2006 and ice 2006 large-scale results-http://iris.nist.gov/ice/frvt2006 andice2006largescalereport.pdf, 2007.
32. C. Sanchez-Avila and R. Sanchez-Reillo. Two different approaches for iris recognition using gabor filters and multiscale zero-crossing representation. PR, 38(2):231-240, February 2005.
33. S.S. Stevens. Handbook of experimental psychology. New York: John Wiley, 1951.
34. Iridian Technologies. Historical timeline-www.iridiantech.com/about.php? page=4, 2003.
35. J. Wayman, A. Jain, D. Maltoni, and D. Maio. Biometric Systems: Technology, Design and Performance Evaluation. London: Springer, 2005.
36. R.P. Wildes. Iris recognition: an emerging biometric technology. Proceedings of the IEEE, 85(9):1348-1363, September 1997.