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Cross-eyed - cross-spectral iris/periocular recognition database and competition

Sequeira, A., Chen, L., Ferryman, J., Alonso-Fernandez, F., Bigun, J., Raja, K., R., R., Christoph, B. and Peter, W. (2016) Cross-eyed - cross-spectral iris/periocular recognition database and competition. In: 2016 International Conference of the Biometrics Special Interest Group (BIOSIG), 21-23 Sept. 2016, Darmstadt, Germany.

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Official URL: https://doi.org/10.1109/BIOSIG.2016.7736915

Abstract/Summary

This work presents a novel dual-spectrum database containing both iris and periocular images synchronously captured from a distance and within a realistic indoor environment. This database was used in the 1st Cross-Spectrum Iris/Periocular Recognition Competition (Cross-Eyed 2016). This competition aimed at recording recent advances in cross- spectrum iris and periocular recognition. Six submissions were evaluated for cross-spectrum periocular recognition, and three for iris recognition. The submitted algorithms are briefly introduced. Detailed results are reported in this paper, and comparison of the results is discussed.

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:68957

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