LivDet-Iris 2023 is the fifth competition in the LivDet-Iris series offering
(a) independent assessment of current state of the art in iris Presentation Attack Detection algorithms and (b) an evaluation protocol,
including datasets of spoof and live iris images, that can be followed by researchers after the competition is
closed and compare their solutions with LivDet-Iris winners and baselines. LivDet-Iris 2023 has been included in official IJCB 2023 competition list.
This competition will have three parts:
Part 1: "Algorithms-Self-Tested" will involve the self-evaluation (that is, done by competitors on the sequestered and never-published-before test dataset) incorporating a large number of ISO-compliant live and fake samples. Samples will include irises synthesized by modern Generative Adversarial Networks-based models (StyleGAN2 and StyleGAN3) and near-infrared pictures of various artefacts simulating physical iris presentation attacks.
Part 2: "Algorithms-Independently-Tested" will involve the evaluation of the software solutions submitted by the competitors and performed by the organizers on a sequestered dataset similar in terms of attack types to the one used in Part 1.
Part 3: "Systems" will involve the systematic testing of submitted iris recognition systems based on physical artifacts presented to the sensors.
Competitors can participate in one, two or all parts. For each part a separate winner demonstrating the best performance will be announced. Metrics recommended by ISO/IEC 30107-1:2016 will be used to assess the submissions.
A summary of all previous LivDet-Iris competitions is available as a Chapter 7 in new Handbook of Biometric Anti-Spoofing, and this IJCB 2020 paper presents the most recent LivDet-Iris 2020 competition.
Winners: Each Part (1, 2 and 3) will have its separate winner. Metrics recommended by ISO/IEC 30107-1:2016 will be used to assess the submissions.
For Parts 1 and 2 the 50.0 threshold will be used to calculate APCER and BPCER error rates.
Competition Results - Part 1
The results of the competition are as follows:
In first place was team BUCEA, with a best ACER of 0.071.
In second place was team Fraunhofer IGD, with a best ACER of 0.209.
In third place was team HDA/IDVisionCenter, with a best ACER of 0.260.
The full breakdown of the competition results will be available in the IJCB paper described below.
IJCB Paper Submission: At least all winners (from all categories) will be invited to co-author the IJCB paper submission. Depending on the number and quality of submissions (e.g., when the performance between the winners and runner-ups is small), we will extend this invitation to the authors of other well-performing algorithms and systems, to make the resulting paper useful for the community and the participants.
University of Notre Dame, IN, USA:
Dr. Adam Czajka
Dr. Patrick Flynn
Dr. Kevin Bowyer
Clarkson University, NY, USA:
Dr. Stephanie Schuckers
Dr. Masudul Haider Imtiaz
Submissions and General Questions:
Patrick Tinsley @ Notre Dame (firstname.lastname@example.org)
Sandip Purnapatra @ Clarkson (email@example.com)
Adam Czajka (firstname.lastname@example.org)
Stephanie Schuckers (email@example.com)