Multimodal biometrics

Multimodal biometrics refers to the use of multiple human characteristics—such as fingerprints, facial features, voice, or iris patterns—to verify or identify individuals. By combining different biometric methods, it increases accuracy, security, and reliability, as it reduces the likelihood of errors or fraud that can occur when relying on just one trait. This approach is particularly useful in high-security contexts or large-scale identification systems, providing a more robust way to confirm identities by leveraging the unique physical or behavioral traits of each person through multiple modalities.