Publications:Cross-Eyed 2017 : Cross-Spectral Iris/Periocular Recognition Database and Competition


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Title Cross-Eyed 2017 : Cross-Spectral Iris/Periocular Recognition Database and 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
Conference IEEE/IAPR International Joint Conference on Biometrics, IJCB, Denver, Colorado, USA, October 1-4, 2017
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Abstract Thisworkpresentsthe2ndCross-SpectrumIris/PeriocularRecognitionCompetition(Cross-Eyed2017).The main goal of the competition is topromote and evaluate advances in cross-spectrum iris andperiocular recognition.This second edition registeredan increase in the participation numbers ranging fromacademia to industry: five teams submitted twelve methodsfor the periocular task and five for the iris task. The bench-mark dataset is an enlarged version of the dual-spectrumdatabase containing both iris and periocular images syn-chronously captured from a distance and within a realisticindoor environment. The evaluation was performed on anundisclosed test-set. Methodology, tested algorithms, andobtained results are reported in this paper identifying theremaining challenges in path forward.