4 papers
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…
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…
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…