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| Content Provider | IET Digital Library |
|---|---|
| Author | Gorodnichy, Dmitry O. Chumakov, Michael P. |
| Abstract | The historical NEXUS iris kiosks log dataset collected by the Canada Border Services Agency from 2003 to 2014 has become the focus of scientific attention due to its involvement in the iris ageing debate between the National Institute of Standard and Technology and the University of Notre Dame researchers. To facilitate this debate, this study provides additional details on how this dataset was collected, its various properties and irregularities, and presents new results related to the effect of ageing, age, and other factors on the system performance obtained using the portions of the dataset that have not been previously analysed. In doing that, the importance of conducting subject-based performance analysis, as opposed to the traditionally done transaction-based analysis, is emphasised. The significance of factor effects is examined. Recommendations on further improvement of the technology are made. |
| Starting Page | 29 |
| Ending Page | 39 |
| Page Count | 11 |
| ISSN | 20474938 |
| Volume Number | 8 |
| e-ISSN | 20474946 |
| Issue Number | Issue 1, Jan (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-bmt/8/1 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2018.5105 |
| Journal | IET Biometrics |
| Publisher Date | 2018-07-11 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Canada Border Services Agency Computer Vision And Image Processing Technique Dataset Collection Factor Effect Historical NEXUS Iris Kiosks Human Factors Image Recognition Iris Ageing Iris Recognition Iris Recognition Performance NEXUS Scores Dataset Subject-based Performance Analysis System Performance Transaction-based Analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Vision and Pattern Recognition Software |
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