The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.
Image understanding for iris biometrics: A survey
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Citations
Cites
Robust Real-Time Face Detection
Viola, P., & Jones, M. J. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000013087.49260.fb · Cited by 14,097
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
Daugman, J. (2004) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2003.818350 · Cited by 2,927
Robust real-time object detection.
Viola, P. A. (2001) · Cited by 2,340
Iris recognition: an emerging biometric technology
Wildes, R. P. (1997) · Proceedings of the IEEE · doi:10.1109/5.628669 · Cited by 2,202
Feature extraction from faces using deformable templates
Yuille, A. L., Hallinan, P. W., & Cohen, D. S. (1992) · International Journal of Computer Vision · doi:10.1007/bf00127169 · Cited by 1,369
A human identification technique using images of the iris and wavelet transform
Boles, W. W., & Boashash, B. (1998) · IEEE Transactions on Signal Processing · doi:10.1109/78.668573 · Cited by 1,130
New Methods in Iris Recognition
Daugman, J. (2007) · IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2007.903540 · Cited by 1,012
Personal identification based on iris texture analysis
Ma, L., Tan, T., Wang, Y., & Zhang, D. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1251145 · Cited by 960
The importance of being random: statistical principles of iris recognition
Daugman, J. (2003) · Pattern Recognition · doi:10.1016/s0031-3203(02)00030-4 · Cited by 951
Cited by
FRVT 2006 and ICE 2006 Large-Scale Experimental Results
Phillips, P. J., Scruggs, W. T., O'Toole, A. J., Flynn, P. J., Bowyer, K. W., Schott, C. L., & Sharpe, M. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.59 · Cited by 406
Self-citationA review of biometric technology along with trends and prospects
Unar, J. A., Seng, W. C., & Abbasi, A. (2014) · Pattern Recognition · doi:10.1016/j.patcog.2014.01.016 · Cited by 404
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
50 Years of object recognition: Directions forward
Andreopoulos, A., & Tsotsos, J. K. (2013) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2013.04.005 · Cited by 347
Secure and Robust Iris Recognition Using Random Projections and Sparse Representations
Pillai, J. K., Patel, V. M., Chellappa, R., & Ratha, N. K. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.34 · Cited by 324
Metadata
- Authors
- Bowyer, K. W., Hollingsworth, K., & Flynn, P. J.
- Venue
- Computer Vision and Image Understanding
- Publisher
- Elsevier BV
- Published
- 2008-05
- Volume
- 110
- Issue
- 2
- Pages
- 281-307
- ISSN
- 1077-3142 (ISSN-L)
- OpenAlex
- W2025546194
- Cited by
- 907
- References
- 83
- FWCI
- 70.82
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- The paper
- Bowyer, K. W., Hollingsworth, K., & Flynn, P. J. (2008). Image understanding for iris biometrics: A survey. Computer Vision and Image Understanding. https://doi.org/10.1016/j.cviu.2007.08.005
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
