What forms of biometric authentication are used in the mDL app?

Biometric authentication uses unique physical characteristics to verify identity, making it a highly secure method. In the case of the mobile driver's license (mDL) app, facial recognition and fingerprint scanning are effectively employed to ensure that the individual accessing the app is indeed the licensed driver associated with that particular identity. These biometric methods provide a level of convenience and security that helps to prevent unauthorized access, as they rely on traits that are unique to each person.

Facial recognition scans the facial features and can quickly determine if the person trying to access the app matches the image stored in the system. Fingerprint scanning adds an additional layer of security, as fingerprints are also unique to each individual and require physical presence to verify identity. This dual approach enhances the overall security of the mDL app, making it a trusted method of authentication.

The other methods listed, such as signature verification, voice recognition, two-factor authentication via email, and PIN/password combinations, do not provide the same level of assurance and convenience that biometric methods offer. Hence, facial recognition and fingerprint scanning are the most effective forms of biometric authentication in this context.