Using fragile bit coincidence to improve iris recognition

IEEE 3rd International Conference on Biometrics: Theory, Applications and Systems, BTAS 2009

Volumn , Issue , 2009, Pages

  Hollingsworth, Karen P ^a   Bowyer, Kevin W ^a   Flynn, Patrick J ^a  

^a UNIVERSITY OF NOTRE DAME   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIT PATTERNS; IRIS BIOMETRICS; IRIS CODE; IRIS RECOGNITION;

BIOMETRICS;

HAMMING DISTANCE;

EID: 71749104687     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BTAS.2009.5339036     Document Type: Conference Paper

References (13)

1. John Daugman. How iris recognition works. IEEE Transactions on Circuits and Systems for Video Technology, 14(1):21-30, 2004.
2. Kevin W. Bowyer, Karen P. Hollingsworth, and Patrick J. Flynn. Image understanding for iris biometrics: A survey. Computer Vision and Image Understanding, 110(2):281-307, 2008.
3. Ruud M. Bolle, Sharath Pankanti, Jonathon H. Connell, and Nalini Ratha. Iris individuality: A partial iris model. In Proc. Int. Conf. on Pattern Recognition, pages II: 927-930, 2004.
4. Karen P. Hollingsworth, Kevin W. Bowyer, and Patrick J. Flynn. The best bits in an iris code. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(6):964-973, Jun 2009.
5. John Daugman. personal communication.
6. Zhenan Sun, Tieniu Tan, and Xianchao Qiu. Graph matching iris image blocks with local binary pattern. In Proc. Int. Conf. on Biometrics (Springer LNCS 3832), pages 366-372, Jan 2006.
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9. Chul-Hyun Park and Joon-Jae Lee. Extracting and combining multi-modal directional iris features. In Int. Conf. on Biometrics (Springer LNCS 3832), pages 389-396, Jan 2006.
10. Nakissa Barzegar and M. Shahram Moin. A new user dependent iris recognition system based on an area preserving pointwise level set segmentation approach. EURASIP Journal on Advances in Signal Processing, 2009.
11. Gerry Dozier, David Bell, Leon Barnes, and Kelvin Bryant. Refining iris templates via weighted bit consistency. In Proc. Midwest Artificial Intelligence and Cognitive Science (MAICS) Conference, Apr 2009.
12. Gerry Dozier, Kurt Frederiksen, Robert Meeks, Marios Savvides, Kelvin Bryant, Darlene Hopes, and Taihei Munemoto. Minimizing the number of bits needed for iris recognition via bit inconsistency and grit. In Proc. IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications, Apr 2009.
13. LG IrisAccess 4000. http://www.lgiris.com/ps/products/irisaccess4000.htm, accessed Apr 2009.