This talk explores an emerging alternative based on Implicit Neural Representations (INRs), which model biometric traits as continuous functions rather than discrete images.
Our speaker will conclude by discussing future opportunities for INRs in biometric recognition, continuous biometric templates, morph attack analysis, privacy-preserving biometrics, and multimodal biometric systems, arguing that continuous neural representations may provide a new foundation for the next generation of biometric technologies.
About the speaker Vishal M. Patel is a Professor in the Department of Electrical and Computer Engineering (ECE) at Johns Hopkins University.
His research focuses on computer vision, machine learning, image processing, medical image analysis, and biometrics.
Patel serves as an associate editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence journal and IEEE Transactions on Biometrics, Behavior, and Identity Science.