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| Content Provider | IET Digital Library |
|---|---|
| Author | Rathgeb, Christian Buchmann, Nicolas Hofbauer, Heinz Baier, Harald Uhl, Andreas Busch, Christoph |
| Abstract | To confirm an individual's identity accurately and reliably iris recognition systems analyse the texture that is visible in the iris of the eye. The rich random pattern of the iris constitutes a powerful biometric characteristic suitable for biometric identification in large-scale deployments. Identification attempts or deduplication checks require an exhaustive one-to-many comparison. Hence, for large-scale biometric databases with millions of enrollees, the time required for a biometric identification is expected to significantly increase. In this study, the authors analyse techniques to accelerate Hamming distance-based comparisons of binary biometric reference data, i.e. iris-codes, in large-scale iris recognition systems, which preserve the biometric performance. The focus is put on software-based optimisations, an efficient two-step iris-code alignment process referred to as TripleA, and a combination thereof. Benchmarking the throughput and identifying potential bottlenecks of a portable commodity hardware-based iris recognition system is of particular interest. Based on the conducted experiments the authors point out practical boundaries of large-scale comparisons in central processing unit-based iris recognition systems, bridging the gap between the fields of iris recognition and software design. |
| Starting Page | 356 |
| Ending Page | 364 |
| Page Count | 9 |
| ISSN | 20474938 |
| Volume Number | 7 |
| e-ISSN | 20474946 |
| Issue Number | Issue 4, Jul (2018) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-bmt/7/4 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2016.0125 |
| Journal | IET Biometrics |
| Publisher Date | 2017-09-11 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Accuracy-preserving Acceleration Binary Biometric Reference Biometric Characteristic Computer Vision And Image Processing Technique CPU-based Iris Recognition System Hamming Distance-based Comparisons Image Recognition Iris Recognition Iris-Code Large-scale Iris Recognition System Microprocessor Chips Microprocessors And Microcomputer Portable Commodity Hardware-based Iris Recognition System Software Design Software Engineering Software-based Optimisations TripleA Process Two-step IC Alignment Process |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Vision and Pattern Recognition Software |
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