Uniqueness of Iris Pattern Based on AR Model

no code implementations • 21 Jun 2023 • Katelyn M. Hampel, Jinyu Zuo, Priyanka Das, Natalia A. Schmid, Stephanie Schuckers, Joseph Skufca, Matthew C. Valenti

We determine the sustainable maximum population for each dataset based on the quality of the images.

Iris Recognition

Empirical Assessment of End-to-End Iris Recognition System Capacity

no code implementations • 20 Mar 2023 • Priyanka Das, Richard Plesh, Veeru Talreja, Natalia Schmid, Matthew Valenti, Joseph Skufca, Stephanie Schuckers

Iris is an established modality in biometric recognition applications including consumer electronics, e-commerce, border security, forensics, and de-duplication of identity at a national scale.

Capacity Estimation Iris Recognition

Longitudinal Performance of Iris Recognition in Children: Time Intervals up to Six years

no code implementations • 10 Mar 2023 • Priyanka Das, Naveen G Venkataswamy, Laura Holsopple, Masudul H Imtiaz, Michael Schuckers, Stephanie Schuckers

The temporal stability of iris recognition performance is core to its success as a biometric modality.

Decision Making Iris Recognition

Adaptive and Scalable Compression of Multispectral Images using VVC

no code implementations • 10 Jan 2023 • Philipp Seltsam, Priyanka Das, Mathias Wien

Further, a novel adaptive scalable approach is proposed, that provides a separately decodable spectrally scaled preview of the MSI in the compressed file.

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

no code implementations • 1 Sep 2020 • Priyanka Das, Joseph McGrath, Zhaoyuan Fang, Aidan Boyd, Ganghee Jang, Amir Mohammadi, Sandip Purnapatra, David Yambay, Sébastien Marcel, Mateusz Trokielewicz, Piotr Maciejewicz, Kevin Bowyer, Adam Czajka, Stephanie Schuckers, Juan Tapia, Sebastian Gonzalez, Meiling Fang, Naser Damer, Fadi Boutros, Arjan Kuijper, Renu Sharma, Cunjian Chen, Arun Ross

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).

Benchmarking