Experimental evaluation of iris recognition

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2005-September, Issue , 2005, Pages

  Liu, Xiaomei ^a   Bowyer, Kevin W ^a   Flynn, Patrick J ^a  

^a University of Notre Dame   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRICS; COMPUTER VISION;

BIOMETRIC METHODS; EXPERIMENTAL EVALUATION; INCORRECT RECOGNITION; IRIS RECOGNITION; IRIS RECOGNITION SYSTEMS; MATCHING METHODS; MULTIPLE IMAGE; USER COOPERATION;

QUALITY CONTROL;

EID: 84857279892     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.576     Document Type: Conference Paper

References (10)

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2. J. Daugman, “Biometric Personal Identification System Based on Iris Analysis”, U.S. Patent No. 5,291,560, 1994.
3. J. Daugman, “High Confidence Visual Recognition of Persons by a Test of Statistical Independence”, IEEE transactions on pattern analysis and machine intelligence, vol. 15, no. 11, November 1993.
4. J. Daugman, “Statistical Richness of Visual Phase Information: Update on Recognizing Persons by Iris Patterns”, International Journal of Computer Vision vol. 45, no. 1, pp 25-38, 2001.
5. J. Daugman, “The Importance of Being Random: Statistical Principles of Iris Recognition”, Pattern Recognition, vol. 36, no. 2, pp 279-291, 2003.
6. J. Daugman, “Demodulation by Complex-valued Wavelets for Stochastic Pattern Recognition”, International Journal of Wavelets, Multiresolution and Information Processing, Vol. 1, No. 1, pp 1-17, 2003.
7. L. Masek,“Recognition of Human Iris Patterns for Biometric Identification”, http://www.csse.uwa.edu.au/~pk/studentprojects/libor/, The University of Western Australia.
8. P. J. Phillips, “Overview of the Face Recognition Grand Challenge”, IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp 947-954, 2005.
9. http://www.iridiantech.com/.
10. http://iris.nist.gov/ICE/.