Multimodal Biometric Fusion Lab (2D)

Mobile devices rarely trust a single biometric sensor — Face ID falls back to a passcode, fingerprint sensors get paired with behavioral checks, and enterprise apps often combine two modalities before granting access. This simulator makes that fusion decision tangible: 400 genuine and 400 impostor authentication attempts are drawn from realistic fingerprint and face score distributions and rendered as a live 2D scatter you can drag the decision boundary across — AND, OR, or a continuously weighted sum — while a second panel sweeps the fused threshold and traces the FAR/FRR crossover live. Live readouts track the combined False Accept Rate, False Reject Rate, overall accuracy and an approximate Equal Error Rate, so you can see directly how fusion strategy trades security against convenience.