论文标题
鸢尾花检测竞赛（Livdet-iris） - 2020年版
Iris Liveness Detection Competition (LivDet-Iris) -- The 2020 Edition
论文作者
论文摘要
Livdet-IRIS于2013年启动，是一项针对学术界和行业开放的国际竞争系列，旨在评估和报告IRIS演示攻击检测（PAD）的进展。本文介绍了该系列的第四次比赛：Livdet-iris 2020。 (BEAT)(https://www.idiap.ch/software/beat/) open-source platform to facilitate reproducibility 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), and three open-source iris PAD methods available in the public domain.比赛中表现最佳的表现报告称，在所有五种攻击类型中，加权平均apcer为59.10 \％，BPCer为0.46 \％。本文是对大量演示攻击工具的最新评估。
Launched in 2013, LivDet-Iris is an international competition series open to academia and industry with the aim to assess and report advances in iris Presentation Attack Detection (PAD). This paper presents results from the fourth competition of the series: LivDet-Iris 2020. This year's competition introduced 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 available now to everyone via the Biometrics Evaluation and Testing (BEAT)(https://www.idiap.ch/software/beat/) open-source platform to facilitate reproducibility 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), and three open-source iris PAD methods available in the public domain. The best performing entry to the competition reported a weighted average APCER of 59.10\% and a BPCER of 0.46\% over all five attack types. This paper serves as the latest evaluation of iris PAD on a large spectrum of presentation attack instruments.
