Cross-eyed 2017: Cross-spectral iris/periocular recognition competition
Ana F. Sequeira, Lulu Chen, James M. Ferryman, Peter Wild, Fernando Alonso‐Fernandez, Josef Bigün, Kiran Bylappa Raja, R. Raghavendra, Christoph Busch, Tiago de Freitas Pereira, Sébastien Marcel, Sushree Sangeeta Behera, Mahesh Gour, Vivek Kanhangad · 2017
This work presents the 2ndCross-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.