A two-phased approach to reducing the false accept rate of spoofed iris codes
Article No.: 28, Pages 1 - 4
Abstract
In this paper, we demonstrate how to reduce the chance of a spoofed iris code being falsely accepted by an iris recognition system. We simulate the system attack by taking one of the registered iris codes from a subject set and mutating it by several different rates and presenting the resultant iris codes to our system. Our approach uses the k-nearest neighbors from a training set to the known spoof to establish a critical distance. Presented iris codes from our mutant set that have a Hamming Ratio when compared to the spoof that is less than the critical distance are rejected. Those that are falsely accepted are totaled to produce a Spoof False Accept Rate (SP-FAR). The second phase of our approach uses traditional iris code recognition to reduce the SP-FAR by rejecting those spoofs that were mutated to a degree such that they will not match any of the other iris codes in the training set.
References
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Bowyer, K. W., Hollingsworth, K. P., and Flynn, P. J. (2008). "Image Understanding for Iris Biometrics: A Survey", Computer Vision and Image Understanding, 110:281--307, 2008.
[2]
Daugman, J. 2004. "How iris recognition works," IEEE Transactions on Circuits and Systems for Video Technology, 14(1):21--30, 2004.
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Daugman, J. 2008. "Iris Recognition," Handbook of Biometrics, Anil K. Jain, Patrick Flynn, Arun A. Ross, Eds., pp. 71--90, Springer.
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Dozier, G. V., Savvides, M., Bryant, K., Munemoto, T., Ricanek, K., Jr., Woodard, D. (2009 "Developing Iris Templates via Bit Inconsistency and GRIT," Encyclopedia of Biometrics, Marios Savvides, Ed., Springer.
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Dozier, G., Frederiksen, K., Meeks, R., Savvides, M., Bryant, K., Hopes, D., Munemoto, T. (2009). "Minimizing the Number of Bits Needed for Iris Recognition via Bit Inconsistency and GRIT," Proceedings of the 2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications, pp. 30--37, Nashville, March 30 April 2nd, 2009.
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National Institute of Standards and Technology Iris Challenge Evaluation, 2006, http://iris.nist.gov/ice.
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Thornton, Savvides, M., and Kumar, V. (2005). Robust Iris Recognition Using Advanced Correlation Techniques," Proc. Int'l Conf. Image Analysis and Recognition, pp. 1098--1105, 2005.
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Index Terms
- A two-phased approach to reducing the false accept rate of spoofed iris codes
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Published In
April 2010
488 pages
ISBN:9781450300643
DOI:10.1145/1900008
- Conference Chair:
- H. Conrad Cunningham,
- Program Chairs:
- Paul Ruth,
- Nicholas A. Kraft
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Published: 15 April 2010
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