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Launched in 2013, LivDet-Iris is an international competition series open toacademia and industry with the aim to assess and report advances in irisPresentation Attack Detection (PAD). This paper presents results from thefourth competition of the series: LivDet-Iris 2020. This year's competitionintroduced several novel elements: (a) incorporated new types of attacks(samples displayed on a screen, cadaver eyes and prosthetic eyes), (b)initiated LivDet-Iris as an on-going effort, with a testing protocol availablenow to everyone via the Biometrics Evaluation and Testing(BEAT)(https://www.idiap.ch/software/beat/) open-source platform to facilitatereproducibility and benchmarking of new algorithms continuously, and (c)performance comparison of the submitted entries with three baseline methods(offered by the University of Notre Dame and Michigan State University), andthree open-source iris PAD methods available in the public domain. The bestperforming entry to the competition reported a weighted average APCER of59.10\% and a BPCER of 0.46\% over all five attack types. This paper serves asthe latest evaluation of iris PAD on a large spectrum of presentation attackinstruments.

Iris Liveness Detection Competition (LivDet-Iris) -- The 2020 Edition