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Issue No.02 - February (2010 vol.43)
pp: 30-35
Arun Ross , West Virginia University
ABSTRACT
Iris recognition systems have made tremendous inroads over the past decade, but work remains to improve their accuracy in environments characterized by unfavorable lighting, large stand-off distances, and moving subjects.
INDEX TERMS
Biometric identification, Iris recognition systems, Security and privacy
CITATION
Arun Ross, "Iris Recognition: The Path Forward", Computer, vol.43, no. 2, pp. 30-35, February 2010, doi:10.1109/MC.2010.44
REFERENCES
1. K.W. Bowyer, K. Hollingsworth, and P.J. Flynn, "Image Understanding for Iris Biometrics: A Survey," Computer Vision and Image Understanding, vol. 110, no. 2, 2008, pp. 281-307.
2. J. Daugman, "New Methods in Iris Recognition," IEEE Trans. Systems, Man, and Cybernetics, Part B, vol. 37, no. 5, 2007, pp. 1167-1175.
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4. J. Thornton, M. Savvides, and B.V.K. Kumar, "A Bayesian Approach to Deformed Pattern Matching of Iris Images," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 29, no. 4, 2007, pp. 596-606.
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7. C. Belcher and Y. Du, "Region-Based SIFT Approach to Iris Recognition," Optics and Lasers in Eng., vol. 47, no. 1, 2009, pp. 139-147.
8. C. Boyce et al., "Multispectral Iris Analysis: A Preliminary Study," Proc. IEEE CS Workshop on Biometrics (CVPRW 06), IEEE CS Press, 2006, pp. 51-59.
9. J. Matey et al., "Iris Recognition in Less Constrained Environments," Advances in Biometrics: Sensors, Algorithms and Systems, Springer, 2008.
10. R. Narayanswamy et al., "Extended Depth-of-Field Iris Recognition System for a Workstation Environment," Proc. SPIE Biometric Technology for Human Identification II, vol. 5779, SPIE, 2005, pp. 41-50.
11. S.A.C. Schuckers et al., "On Techniques for Angle Compensation in Nonideal Iris Recognition," IEEE Trans. Systems, Man, and Cybernetics, Part B, vol. 37, no. 5, 2007, pp. 1176-1190.
12. F. Hao, R. Anderson, and J. Daugman, "Combining Crypto with Biometrics Effectively," IEEE Trans. Computers, vol. 55, no. 9, 2006, pp. 1081-1088.
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