activity
20182026
most citedIris Recognition Performance in Children: A Longitudinal Study

14 citations · 39 across the 32 of their papers we have counts for

collaborators

38 papers

eess.IV2026

Synthetic Fingerprints for Children Under Four: Generation and Biometric Evaluation

Faheem Ahmad, Ajan Ahmed, Mst Rumana Sumi +2

Fingerprint recognition in children under four is of interest for longitudinal identity applications, but research in this age range is constrained by the limited availability and…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

eess.IV2025

An Open-Source Framework for Quality-Assured Smartphone-Based Visible Light Iris Recognition

Naveenkumar G. Venkataswamy, Yu Liu, Soumyabrata Dey +2

Smartphone-based iris recognition in the visible spectrum (VIS) offers a low-cost and accessible biometric alternative but remains a challenge due to lighting variability, pigmenta…

eess.IV2025

Nine Years of Pediatric Iris Recognition: Evidence for Biometric Permanence

Naveenkumar G Venkataswamy, Masudul H Imtiaz, Stephanie Schuckers

Biometric permanence in pediatric populations remains poorly understood despite widespread deployment of iris recognition for children in national identity programs such as India's…

cs.CV2025

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…

cs.CV2025

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…

eess.IV2025

Smartphone-based iris recognition through high-quality visible-spectrum iris image capture.V2

Naveenkumar G Venkataswamy, Yu Liu, Soumyabrata Dey +2

Smartphone-based iris recognition in the visible spectrum (VIS) remains difficult due to illumination variability, pigmentation differences, and the absence of standardized capture…

eess.AS2025

Descriptor:: Extended-Length Audio Dataset for Synthetic Voice Detection and Speaker Recognition (ELAD-SVDSR)

Rahul Vijaykumar, Ajan Ahmed, John Parker +4

This paper introduces the Extended Length Audio Dataset for Synthetic Voice Detection and Speaker Recognition (ELAD SVDSR), a resource specifically designed to facilitate the creat…

cs.SD2025

A Comparative Evaluation of Deep Learning Models for Speech Enhancement in Real-World Noisy Environments

Md Jahangir Alam Khondkar, Ajan Ahmed, Stephanie Schuckers +1

Speech enhancement, particularly denoising, is vital in improving the intelligibility and quality of speech signals for real-world applications, especially in noisy environments. W…

eess.IV2025★ 1 cited

OcularAge: A Comparative Study of Iris and Periocular Images for Pediatric Age Estimation

Naveenkumar G Venkataswamy, Poorna Ravi, Stephanie Schuckers +1

Estimating a child's age from ocular biometric images is challenging due to subtle physiological changes and the limited availability of longitudinal datasets. Although most biomet…

eess.IV2024

Smartphone-based Iris Recognition through High-Quality Visible Spectrum Iris Capture

Naveenkumar G Venkataswamy, Yu Liu, Surendra Singh +3

Iris recognition is widely acknowledged for its exceptional accuracy in biometric authentication, traditionally relying on near-infrared (NIR) imaging. Recently, visible spectrum (…

cs.CV2024

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…

cs.CR2024★ 1 cited

Securing Biometric Data: Fully Homomorphic Encryption in Multimodal Iris and Face Recognition

Surendra Singh, Lambert Igene, Stephanie Schuckers

Multimodal biometric systems have gained popularity for their enhanced recognition accuracy and resistance to attacks like spoofing. This research explores methods for fusing iris…

eess.IV2024

Post-Mortem Human Iris Segmentation Analysis with Deep Learning

Afzal Hossain, Tipu Sultan, Stephanie Schuckers

Iris recognition is widely used in several fields such as mobile phones, financial transactions, identification cards, airport security, international border control, voter registr…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2023

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…

eess.IV2023

Generalizability and Application of the Skin Reflectance Estimate Based on Dichromatic Separation (SREDS)

Joseph Drahos, Richard Plesh, Keivan Bahmani +2

Face recognition (FR) systems have become widely used and readily available in recent history. However, differential performance between certain demographics has been identified wi…

cs.CV2023

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'…

cs.CV2023★ 9 cited

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…

cs.CV2023

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…