Name
Title | ||
|---|---|---|
NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization |
Abstract | ||
|---|---|---|
For iris recognition in non-cooperative environments, iris segmentation has been regarded as the first most important challenge still open to the biometric community, affecting all downstream tasks from normalization to recognition. In recent years, deep learning technologies have gained significant popularity among various computer vision tasks and also been introduced in iris biometrics, especially iris segmentation. To investigate recent developments and attract more interest of researchers in the iris segmentation method, we organized the 2021 NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization (NIR-ISL 2021) at the 2021 International Joint Conference on Biometrics (IJCB 2021). The challenge was used as a public platform to assess the performance of iris segmentation and localization methods on Asian and African NIR iris images captured in non-cooperative environments. The three best-performing entries achieved solid and satisfactory iris segmentation and localization results in most cases, and their code and models have been made publicly available for reproducibility research. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IJCB52358.2021.9484336 | 2021 IEEE International Joint Conference on Biometrics (IJCB) |
Keywords | DocType | ISSN |
noncooperative environments,iris recognition,biometric community,computer vision tasks,iris biometrics,iris segmentation method,2021 NIR Iris Challenge Evaluation,2021 International Joint Conference,Asian NIR,African NIR,satisfactory iris segmentation | Conference | 2474-9680 |
ISBN | Citations | PageRank |
978-1-6654-3781-3 | 1 | 0.41 |
References | Authors | |
0 | 63 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Caiyong Wang | 1 | 5 | 2.82 |
| Yunlong Wang | 2 | 1 | 0.41 |
| Kunbo Zhang | 3 | 1 | 0.41 |
| Jawad Muhammad | 4 | 1 | 0.41 |
| Tianhao Lu | 5 | 1 | 0.41 |
| Qi Zhang | 6 | 68 | 3.27 |
| Qichuan Tian | 7 | 1 | 0.41 |
| Zhaofeng He | 8 | 1 | 0.75 |
| Zhenan Sun | 9 | 2379 | 139.49 |
| Yiwen Zhang | 10 | 1 | 0.41 |
| Tianbao Liu | 11 | 1 | 0.41 |
| Wei Yang | 12 | 93 | 27.50 |
| Dongliang Wu | 13 | 1 | 0.41 |
| Yingfeng Liu | 14 | 1 | 0.41 |
| Ruiye Zhou | 15 | 1 | 0.41 |
| Huihai Wu | 16 | 1 | 0.41 |
| Hao Zhang | 17 | 1 | 0.41 |
| Junbao Wang | 18 | 1 | 0.41 |
| Jiayi Wang | 19 | 9 | 7.87 |
| Wantong Xiong | 20 | 1 | 0.41 |
| Xueyu Shi | 21 | 1 | 0.41 |
| Shao Zeng | 22 | 1 | 0.41 |
| Peihua Li | 23 | 466 | 37.53 |
| Haodong Sun | 24 | 1 | 0.41 |
| Jing Wang | 25 | 46 | 15.96 |
| Jiale Zhang | 26 | 1 | 0.41 |
| qi wang | 27 | 11 | 7.85 |
| Huijie Wu | 28 | 1 | 0.41 |
| Xinhui Zhang | 29 | 1 | 0.41 |
| Haiqing Li | 30 | 1 | 0.41 |
| Yu Chen | 31 | 391 | 75.79 |
| Liang Chen | 32 | 313 | 36.77 |
| Menghan Zhang | 33 | 1 | 0.41 |
| Ye Sun | 34 | 1 | 0.41 |
| Zhiyong Zhou | 35 | 1 | 0.41 |
| Fadi Boutros | 36 | 16 | 10.54 |
| Naser Damer | 37 | 117 | 30.86 |
| Arjan Kuijper | 38 | 1063 | 133.22 |
| Juan E. Tapia | 39 | 1 | 0.41 |
| Andres Valenzuela | 40 | 1 | 0.41 |
| Christoph Busch | 41 | 268 | 50.22 |
| Gourav Gupta | 42 | 1 | 0.41 |
| Kiran B. Raja | 43 | 304 | 42.26 |
| Xi Wu | 44 | 61 | 18.90 |
| Xiaojie Li | 45 | 1 | 3.11 |
| Jingfu Yang | 46 | 1 | 0.41 |
| Hongyan Jing | 47 | 1 | 0.41 |
| Xin Wang | 48 | 74 | 12.92 |
| Bin Kong | 49 | 85 | 19.16 |
| Youbing Yin | 50 | 44 | 10.98 |