no code implementations • 6 Oct 2023 • Patrick Tinsley, Sandip Purnapatra, Mahsa Mitcheff, Aidan Boyd, Colton Crum, Kevin Bowyer, Patrick Flynn, Stephanie Schuckers, Adam Czajka, Meiling Fang, Naser Damer, Xingyu Liu, Caiyong Wang, Xianyun Sun, Zhaohua Chang, Xinyue Li, Guangzhe Zhao, Juan Tapia, Christoph Busch, Carlos Aravena, Daniel Schulz
New elements in this fifth competition include (1) GAN-generated iris images as a category of presentation attack instruments (PAI), and (2) an evaluation of human accuracy at detecting PAI as a reference benchmark.
no code implementations • 1 Oct 2023 • Sandip Purnapatra, Humaira Rezaie, Bhavin Jawade, Yu Liu, Yue Pan, Luke Brosell, Mst Rumana Sumi, Lambert Igene, Alden Dimarco, Srirangaraj Setlur, Soumyabrata Dey, Stephanie Schuckers, Marco Huber, Jan Niklas Kolf, Meiling Fang, Naser Damer, Banafsheh Adami, Raul Chitic, Karsten Seelert, Vishesh Mistry, Rahul Parthe, Umit Kacar
The competition serves as an important benchmark in noncontact-based fingerprint PAD, offering (a) independent assessment of the state-of-the-art in noncontact-based fingerprint PAD for algorithms and systems, and (b) common evaluation protocol, which includes finger photos of a variety of Presentation Attack Instruments (PAIs) and live fingers to the biometric research community (c) provides standard algorithm and system evaluation protocols, along with the comparative analysis of state-of-the-art algorithms from academia and industry with both old and new android smartphones.
1 code implementation • 3 Sep 2023 • Joseph Drahos, Richard Plesh, Keivan Bahmani, Mahesh Banavar, Stephanie Schuckers
In this work, we provide a further analysis of the generalizability of the Skin Reflectance Estimate based on Dichromatic Separation (SREDS) against other skin tone metrics and provide a use case for substituting race labels for SREDS scores in a privacy-preserving learning solution.
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 • 9 Mar 2023 • Sandip Purnapatra, Conor Miller-Lynch, Stephen Miner, Yu Liu, Keivan Bahmani, Soumyabrata Dey, Stephanie Schuckers
Touch-based fingerprint biometrics is one of the most popular biometric modalities with applications in several fields.
no code implementations • 6 Mar 2023 • M. G. Sarwar Murshed, Keivan Bahmani, Stephanie Schuckers, Faraz Hussain
However, segmenting or auto-localizing all fingerprints in a slap image is a challenging task due to the different orientations of fingerprints, noisy backgrounds, and the smaller size of fingertip components.
no code implementations • 5 Oct 2022 • Chinmay Sahu, Mahesh Banavar, Stephanie Schuckers
Our algorithm uses the quantile transform and techniques from localization to classify and identify users.
1 code implementation • 4 Apr 2022 • Keivan Bahmani, Stephanie Schuckers
Our experiment using YFA and a state-of-the-art, quality-aware face matcher (MagFace) indicates 98. 3% and 94. 9% TAR at 0. 1% FAR over 6 and 36 Months age-gaps, respectively, suggesting that face recognition may be feasible for children for age-gaps of up to three years.
1 code implementation • IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) 2021 • M. G. Sarwar Murshed, Robert Kline, Keivan Bahmani, Faraz Hussain, Stephanie Schuckers
Subsequently, the dataset is used to evaluate the matching performance of the NFSEG, a slap fingerprint segmentation system developed by NIST, on slaps from adults and juvenile subjects.
1 code implementation • 21 May 2021 • Keivan Bahmani, Richard Plesh, Peter Johnson, Stephanie Schuckers, Timothy Swyka
In this work, we utilize progressive growth-based Generative Adversarial Networks (GANs) to develop the Clarkson Fingerprint Generator (CFG).
no code implementations • 8 Apr 2021 • Richard Plesh, Keivan Bahmani, Ganghee Jang, David Yambay, Ken Brownlee, Timothy Swyka, Peter Johnson, Arun Ross, Stephanie Schuckers
This paper demonstrates the viability of utilizing a sensor with time-series and color-sensing capabilities to improve the robustness of a traditional fingerprint sensor and introduces a comprehensive fingerprint dataset with over 36, 000 image sequences and a state-of-the-art set of spoofing techniques.
1 code implementation • 7 Apr 2021 • Keivan Bahmani, Richard Plesh, Chinmay Sahu, Mahesh Banavar, Stephanie Schuckers
Face recognition (FR) systems are fast becoming ubiquitous.
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).