14 citations · 39 across the 32 of their papers we have counts for
12 papers · 1 filter
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…
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…
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…
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…
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 (…
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…
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…
Fingerprint Presentation Attack Detection utilizing Time-Series, Color Fingerprint Captures
Richard Plesh, Keivan Bahmani, Ganghee Jang +6
Fingerprint capture systems can be fooled by widely accessible methods to spoof the system using fake fingers, known as presentation attacks. As biometric recognition systems becom…
SREDS: A dichromatic separation based measure of skin color
Keivan Bahmani, Richard Plesh, Chinmay Sahu +2
Face recognition (FR) systems are fast becoming ubiquitous. However, differential performance among certain demographics was identified in several widely used FR models. The skin t…
Iris Recognition Performance in Children: A Longitudinal Study
Priyanka Das, Laura Holsopple, Dan Rissacher +2
There is uncertainty around the effect of aging of children on biometric characteristics impacting applications relying on biometric recognition, particularly as the time between e…
Validation of Biometric Identification of Dairy Cows based on Udder NIR Images
Benjamin Schilling, Keivan Bahmani, Boyang Li +4
Identifying dairy cows with infections such as mastitis or cows on medications is an extremely important task and legally required by the FDAs Pasteurized Milk Ordinance. The mi…