This competition comprises two tasks:
Each participant can participate with methods for either iris recognition, periocular recognition or both tasks.
Cross-spectrum iris recognition competition:
Cross-spectrum periocular recognition competition:
This biometric trait, comprising
the whole eye region is therefore broader than the iris and allows overcoming
the limitations caused to recognition by noisy and less quality iris images.
The periocular recognition is also interesting to be used in on-the-move scenarios
which again involve less controlled image acquisition scenarios and therefore
less quality iris images.
The CROSS-EYED - "Reading Cross-spectrum Iris/Periocular Dataset" - is the benchmark dataset for the competition.
It is composed by eye images both visible (VW/RGB) and near infra-red (NIR).
The CROSS-EYED images used for this competition are captured with a custom made dual spectrum imaging sensor, which acquires near infrared and colour images synchronously, eliminating any possible influence of pupil dilation on the reported accuracies. The images are acquired from a distance between 1.5 and 2 meters.
The images acquired under near infrared wavelength have a single channel, while the visible spectrum iris images contain 3 channels of information.
The best evaluated algorithm will win the "Cross-spectrum Iris/Periocular Recognition competition" (CROSS-EYED) award at BTAS 2016.Acknowledgements
This work is supported by the EU FASTPASS project under Grant agreement 312583.