The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
New Methods in Iris Recognition
Abstract
This paper presents the following four advances in iris recognition: 1) more disciplined methods for detecting and faithfully modeling the iris inner and outer boundaries with active contours, leading to more flexible embedded coordinate systems; 2) Fourier-based methods for solving problems in iris trigonometry and projective geometry, allowing off-axis gaze to be handled by detecting it and "rotating" the eye into orthographic perspective; 3) statistical inference methods for detecting and excluding eyelashes; and 4) exploration of score normalizations, depending on the amount of iris data that is available in images and the required scale of database search. Statistical results are presented based on 200 billion iris cross-comparisons that were generated from 632500 irises in the United Arab Emirates database to analyze the normalization issues raised in different regions of receiver operating characteristic curves.
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Cites
Kass, M., Witkin, A., & Terzopoulos, D. (1988) · International Journal of Computer Vision · doi:10.1007/bf00133570 · Cited by 17,070
High confidence visual recognition of persons by a test of statistical independence
Daugman, J. G. (1993) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.244676 · Cited by 3,252
Self-citationDaugman, J. (2004) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2003.818350 · Cited by 2,927
Self-citationBlake, A., & Isard, M. (1998) · Springer eBooks · doi:10.1007/978-1-4471-1555-7 · Cited by 760
Iris on the Move: Acquisition of Images for Iris Recognition in Less Constrained Environments
Matey, J. R., Naroditsky, O., Hanna, K., Kolczynski, R., LoIacono, D. J., Mangru, S., Tinker, M., Zappia, T. M., & Zhao, W. Y. (2006) · Proceedings of the IEEE · doi:10.1109/jproc.2006.884091 · Cited by 304
A Fast Search Algorithm for a Large Fuzzy Database
Hao, F., Daugman, J. G., & Zieliński, P. (2008) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2008.920726 · Cited by 100
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Cited by
The Quest to Replace Passwords: A Framework for Comparative Evaluation of Web Authentication Schemes
Bonneau, J., Herley, C., Oorschot, P. C. V., & Stajano, F. (2012) · 2012 IEEE Symposium on Security and Privacy · doi:10.1109/sp.2012.44 · Cited by 1,110
Image understanding for iris biometrics: A survey
Bowyer, K. W., Hollingsworth, K., & Flynn, P. J. (2008) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2007.08.005 · Cited by 907
Iris Recognition With Off-the-Shelf CNN Features: A Deep Learning Perspective
Nguyen, K., Fookes, C., Ross, A., & Sridharan, S. (2018) · IEEE Access · doi:10.1109/access.2017.2784352 · Cited by 355
Experimentation in humanitarian locations: UNHCR and biometric registration of Afghan refugees
Jacobsen, K. L. (2015) · Security Dialogue · doi:10.1177/0967010614552545 · Cited by 106
Metadata
- Authors
- Daugman, J.
- Venue
- IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)
- Published
- 2007-10
- Volume
- 37
- Issue
- 5
- Pages
- 1167-1175
- ISSN
- 1083-4419 (ISSN-L)
- OpenAlex
- W2167075312
- Cited by
- 1,012
- References
- 6
- FWCI
- 82.62
- Type
- journal article
- Language
- en
- Open access
- closed
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