1 citations · 2 across the 10 of their papers we have counts for
12 papers
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…
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…
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…
DeepFake Detection in Dyadic Video Calls using Point of Gaze Tracking
Odin Kohler, Rahul Vijaykumar, Masudul H. Imtiaz
With recent advancements in deepfake technology, it is now possible to generate convincing deepfakes in real-time. Unfortunately, malicious actors have started to use this new tech…
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…
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…