Rowida Jasim Alazawi

Cross-Architecture Evaluation of Deep Learning Models for Multimodal Biometric Verification with Score-Level Fusion

The results show that no single architecture is universally superior; the best-performing backbone is modality-dependent; and architecture choices for biometric systems should be modality-aware and score-level fusion is an appropriate method for robust multimodal verification.