Cross-Architecture Evaluation of Deep Learning Models for Multimodal Biometric Verification with Score-Level Fusion
Comparing the deep learning architectures used for biometric verification in a fair manner has remained a difficult task. Researchers typically rely on different datasets, employ varying preprocessing steps, and adopt inconsistent evaluation criteria, all of which muddy the picture when trying to decide whether one net...