The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A human identification technique using images of the iris and wavelet transform
Abstract
A new approach for recognizing the iris of the human eye is presented. Zero-crossings of the wavelet transform at various resolution levels are calculated over concentric circles on the iris, and the resulting one-dimensional (1-D) signals are compared with model features using different dissimilarity functions.
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Cites
Marr, D., & Hildreth, E. (1980) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1980.0020 · Cited by 6,510
Cited by
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
Efficient Iris Recognition by Characterizing Key Local Variations
Ma, L., Tan, T., Wang, Y., & Zhang, D. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2004.827237 · Cited by 931
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
Miura, N., Nagasaka, A., & Miyatake, T. (2004) · Machine Vision and Applications · doi:10.1007/s00138-004-0149-2 · Cited by 772
A 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
Metadata
- Authors
- Boles, W. W., & Boashash, B.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 1998-04
- Volume
- 46
- Issue
- 4
- Pages
- 1185-1188
- ISSN
- 1053-587X (ISSN-L)
- OpenAlex
- W2114212719
- Cited by
- 1,130
- References
- 1
- FWCI
- 4.69
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
