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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wenbo Dong Zhenan Sun Tieniu Tan |
| Copyright Year | 2008 |
| Description | Author affiliation: Center for Biometrics & Security Res., Chinese Acad. of Sci., Beijing (Wenbo Dong; Zhenan Sun; Tieniu Tan) |
| Abstract | Iris recognition is regarded as the most reliable biometrics and has been widely applied in both public and personal security areas. However users have to highly cooperate with the iris cameras to make his iris images well captured. In this paper, we aim to discuss whether and how we can make iris recognition easier. Firstly the restricting factors of iris image acquisition are analyzed and the optical formulas are derived. Then the solutions of state-of-the-art iris recognition systems are reviewed and summarized. Finally, we propose two novel iris recognition systems with good human-computer-interface but with two different strategies which respectively meet the requirements of low-end and high-end market. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 339769 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424421749 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2008.4761864 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Iris recognition Cameras Optical imaging Optical sensors Lenses Focusing Equations Pixel Image analysis Geometrical optics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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