Publications:Cross-Eyed 2017 : Cross-Spectral Iris/Periocular Recognition Competition
From ISLAB/CAISR
| Title | Cross-Eyed 2017 : Cross-Spectral Iris/Periocular Recognition Competition |
|---|---|
| Author | Ana F. Sequeira and Lulu Chen and James Ferryman and Peter Wild and Fernando Alonso-Fernandez and Josef Bigun and Kiran B. Raja and R. Raghavendra and Christoph Busch and Tiago Freitas Pereira and Sébastien Marcel and Sushree Sangeeta Behera and Mahesh Gour and Vivek Kanhangad |
| Year | 2017 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | |
| Conference | IEEE/IAPR International Joint Conference on Biometrics, IJCB, Denver, Colorado, USA, October 1-4, 2017 |
| DOI | http://dx.doi.org/10.1109/BTAS.2017.8272762 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:1129963 |
| Abstract | This work presents the 2nd Cross-Spectrum Iris/Periocular Recognition Competition (Cross-Eyed2017). The main goal of the competition is to promote and evaluate advances in cross-spectrum iris and periocular recognition. This second edition registered an increase in the participation numbers ranging from academia to industry: five teams submitted twelve methods for the periocular task and five for the iris task. The benchmark dataset is an enlarged version of the dual-spectrum database containing both iris and periocular images synchronously captured from a distance and within a realistic indoor environment. The evaluation was performed on an undisclosed test-set. Methodology, tested algorithms, and obtained results are reported in this paper identifying the remaining challenges in path forward. © 2017 IEEE |
