Minimizing the number of bits needed for iris recognition via bit inconsistency and grit

2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications, CIB 2009 - Proceedings

Volumn , Issue , 2009, Pages 30-37

  Dozier, Gerry ^a   Frederiksen, Kurt ^a   Meeks, Robert ^a   Savvides, Marios ^b   Bryant, Kelvin ^a   Hopes, Darlene ^a   Munemoto, Taihei ^b  

^a A and T State University   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIT MASKS; GENETIC SEARCH; IRIS CODE; IRIS RECOGNITION; IRIS TEMPLATE; TRAINING SETS;

ARTIFICIAL INTELLIGENCE; BUFFER STORAGE;

BIOMETRICS;

EID: 67650394836     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIB.2009.4925683     Document Type: Conference Paper

References (12)

1. Bolle, R. M., Pankanti, S., Connell, J. H., and Ratha, N. (2004). Iris individuality: A partial iris model, 17th International Conference on Pattern Recognition, vol. 2, pp: 927-930, 2004.
2. Davis, L. 1991. Handbook of Genetic Algorithms. Van Nostrand Reinhold.
3. Daugman, J. (2004). How iris recognition works. IEEE Transactions on Circuits and Systems for Video Technology, 14(1):21-30, 2004. (Pubitemid 35438284)
4. Daugman, J. (1993). High Confidence Visual Recognition of Persons by a Test of Statistical Independence, IEEE Trans. Pattern Analysis,vol. 15, no. 11, pp. 1148-1161, Nov. 1993.
5. Dozier, G. V., Savvides, M., Bryant, K., Munemoto, T., Ricanek, K., Jr., Woodard, D. (to appear), Developing Iris Templates via Bit Inconsistency and GRIT, Encyclopedia of Biometrics, Marios Savvides, Ed.
6. Dozier, G., Homaifar, A., Tunstel, E., and Battle, D. (2001). An Introduction to Evolutionary Computation (Chapter 17), Intelligent Control Systems Using Soft Computing Methodologies, A. Zilouchian & M. Jamshidi (Eds.), pp. 365-380, CRC press.
7. Fogel, D. B. 2000. Evolutionary Computation: Toward a New Philosophy of Machine Intelligence . IEEE Press, 2nd Edition.
8. Goldberg, D. E. 1989. Genetic Algorithms in Search, Optimization & Machine Learning. Addison-Wesley Publishing Company, Inc., Reading, Massachusetts.
9. Karen Hollingsworth, Kevin Bowyer, Patrick Flynn (2007). All iris code bits are not created equal, 2007 IEEE Conference on Biometrics: Theory, Applications, and Systems, September 2007.
10. "Iris Challenge Evaluation," National Institute of Standards and Technology, http://iris.nist.gov/ICE/, 2006.
11. Syswerda, Gilbert, (1989) Uniform Crossover in Genetic Algorithms., Proceedings of the Third International Conference on Genetic Algorithms (ICGA-89), J. David Schaffer, Ed., pp 2-9, Morgan Kaufmann 1989.
12. Thornton, Savvides, M., and Kumar, V. (2005). RobustIris Recognition Using Advanced Correlation Techniques, Proc. Int'l Conf. Image Analysis and Recognition, pp. 1098-1105, 2005