14 citations · 39 across the 32 of their papers we have counts for
20 papers · 1 filter
Generation of Synthetic Fingerphotos with GANs
Conor Miller-Lynch, Sandip Purnapatra, Syed Konain Abbas +4
Contactless fingerprinting is an emerging approach to biometric authentication that allows users to scan their fingerprints without touching a scanner. Due to the limited amount of…
3D FaceShell: Attribute Transfer in 3D Face Avatars as a VLM Defense Mechanism
Weston Bondurant, Srijan Das, Hieu Le +1
Photorealistic 3D face avatars are increasingly deployed as reusable digital assets across applications such as telepresence, animation, and personalized media. At the same time, v…
Mitigating Longitudinal Performance Degradation in Child Face Recognition Using Synthetic Data
Afzal Hossain, Stephanie Schuckers
Longitudinal face recognition in children remains challenging due to rapid and nonlinear facial growth, which causes template drift and increasing verification errors over time. Th…
Evaluating Deep Learning-Based Face Recognition for Infants and Toddlers: Impact of Age Across Developmental Stages
Afzal Hossain, Mst Rumana Sumi, Stephanie Schuckers
Face recognition for infants and toddlers presents unique challenges due to rapid facial morphology changes, high inter-class similarity, and limited dataset availability. This stu…
DiffSwap++: 3D Latent-Controlled Diffusion for Identity-Preserving Face Swapping
Weston Bondurant, Arkaprava Sinha, Hieu Le +2
Diffusion-based approaches have recently achieved strong results in face swapping, offering improved visual quality over traditional GAN-based methods. However, even state-of-the-a…
Conditional Synthetic Live and Spoof Fingerprint Generation
Syed Konain Abbas, Sandip Purnapatra, M. G. Sarwar Murshed +5
Large fingerprint datasets, while important for training and evaluation, are time-consuming and expensive to collect and require strict privacy measures. Researchers are exploring…
A large-scale study of performance and equity of commercial remote identity verification technologies across demographics
Kaniz Fatima, Michael Schuckers, Gerardo Cruz-Ortiz +6
As more types of transactions move online, there is an increasing need to verify someone's identity remotely. Remote identity verification (RIdV) technologies have emerged to fill…
Deep Learning Approach for Ear Recognition and Longitudinal Evaluation in Children
Afzal Hossain, Tipu Sultan, Stephanie Schuckers
Ear recognition as a biometric modality is becoming increasingly popular, with promising broader application areas. While current applications involve adults, one of the challenges…
Longitudinal Evaluation of Child Face Recognition and the Impact of Underlying Age
Surendra Singh, Keivan Bahmani, Stephanie Schuckers
The need for reliable identification of children in various emerging applications has sparked interest in leveraging child face recognition technology. This study introduces a long…
Iris Liveness Detection Competition (LivDet-Iris) -- The 2023 Edition
Patrick Tinsley, Sandip Purnapatra, Mahsa Mitcheff +18
This paper describes the results of the 2023 edition of the ''LivDet'' series of iris presentation attack detection (PAD) competitions. New elements in this fifth competition inclu…
Uniqueness of Iris Pattern Based on AR Model
Katelyn M. Hampel, Jinyu Zuo, Priyanka Das +4
The assessment of iris uniqueness plays a crucial role in analyzing the capabilities and limitations of iris recognition systems. Among the various methodologies proposed, Daugman'…
Empirical Assessment of End-to-End Iris Recognition System Capacity
Priyanka Das, Richard Plesh, Veeru Talreja +4
Iris is an established modality in biometric recognition applications including consumer electronics, e-commerce, border security, forensics, and de-duplication of identity at a na…
Longitudinal Performance of Iris Recognition in Children: Time Intervals up to Six years
Priyanka Das, Naveen G Venkataswamy, Laura Holsopple +3
The temporal stability of iris recognition performance is core to its success as a biometric modality. With the expanding horizon of applications for children, gaps in the knowledg…
Presentation Attack Detection with Advanced CNN Models for Noncontact-based Fingerprint Systems
Sandip Purnapatra, Conor Miller-Lynch, Stephen Miner +4
Touch-based fingerprint biometrics is one of the most popular biometric modalities with applications in several fields. Problems associated with touch-based techniques such as the…
Deep Age-Invariant Fingerprint Segmentation System
M. G. Sarwar Murshed, Keivan Bahmani, Stephanie Schuckers +1
Fingerprint-based identification systems achieve higher accuracy when a slap containing multiple fingerprints of a subject is used instead of a single fingerprint. However, segment…
Face Recognition In Children: A Longitudinal Study
Keivan Bahmani, Stephanie Schuckers
The lack of high fidelity and publicly available longitudinal children face datasets is one of the main limiting factors in the development of face recognition systems for children…
Review of the Fingerprint Liveness Detection (LivDet) competition series: from 2009 to 2021
Marco Micheletto, Giulia Orrù, Roberto Casula +3
Fingerprint authentication systems are highly vulnerable to artificial reproductions of fingerprint, called fingerprint presentation attacks. Detecting presentation attacks is not…
Deep Slap Fingerprint Segmentation for Juveniles and Adults
M. G. Sarwar Murshed, Robert Kline, Keivan Bahmani +2
Many fingerprint recognition systems capture four fingerprints in one image. In such systems, the fingerprint processing pipeline must first segment each four-fingerprint slap into…
High Fidelity Fingerprint Generation: Quality, Uniqueness, and Privacy
Keivan Bahmani, Richard Plesh, Peter Johnson +2
In this work, we utilize progressive growth-based Generative Adversarial Networks (GANs) to develop the Clarkson Fingerprint Generator (CFG). We demonstrate that the CFG is capable…
Iris Liveness Detection Competition (LivDet-Iris) -- The 2020 Edition
Priyanka Das, Joseph McGrath, Zhaoyuan Fang +20
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…