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.
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.
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.
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.
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).