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Cross-Eyed 2017: Cross-Spectral Iris/Periocular Recognition Competition

Sequeira, A., Chen, L., Ferryman, J., Wild, P., Alonso-Fernandez, F., Bigun, J., Raja, K., Raghavendra, R., Busch, C., de Freitas Pereira, T., Marcel, S., Sangeeta Behera, S., Gour, M. and Kanhangad, V. (2017) Cross-Eyed 2017: Cross-Spectral Iris/Periocular Recognition Competition. In: IJCB 2017: International Joint Conference on Biometrics, October 1-4, 2017, Denver, CO.

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Abstract/Summary

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 then remaining challenges in path forward.

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:75217

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