1 |
D. de Martin-Roche, C. Sanchez-Avila, and R. Sanchez-ReiIlo, Iris Recognition for Biometric Identification using Dyadic Wavelet Transform Zero-Crossing, Security Technology, 2001 IEEE 35th International Carnahan Conference, pp. 272-277, 2001
|
2 |
J. Li and A. Barron, Mixture Density Estimation, in Solla, Leen, and Mueller (eds.), Advances in Neural Information Processing Sytems 12, The MIT Press, 2000
|
3 |
R. P. Wildes, Iris Recognition: An Emerging Biometric Technology, Proceedings of the IEEE, vol. 85, pp. 1348-1363, 1997
DOI
ScienceOn
|
4 |
D. Williams and M. Shah, A East Algorithm for Active Contours and Curvature Estimation , CVGIP: Image Understanding. Vol. 55, No. 1, pp. 14-26. 1992
DOI
|
5 |
F. H. Adler, Physiology of the Eye. St. Louis, MO: Mosby, 1965
|
6 |
S. Masahiko and K. Yuji, Iris Region Extraction and Individual Identifying Device, Japan Patent, JP2000189403A2, July 11, 2000
|
7 |
Y. Zhu, T. Tan and Y. Wang, Biometric Person Identification based on Iris Pattern, ICPR2000, pp.805-808, 2000
|
8 |
M. Garland and P. Heckbert, Surface Simplification Using Quadric Error Metrics, Proceedings of Siggraph97, pp. 209-216, 1997
|
9 |
W. W. Boles, and B. Boashah, A Human Identification Technique Using Images of the Iris and Wavelet Transform, IEEE Trans. on Signal Processing, vol. 46, pp. 1185-1188, 1998
DOI
ScienceOn
|
10 |
J. Daugman, High Confidence Visual Recognition of Person by a Test of Statistical Independence, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, pp. 1148-1161, 1993
DOI
ScienceOn
|