The Interplay of AI and Biometrics: Challenges and Opportunities

Current biometric applications exhibit numerous connections to artificial intelligence (AI). They use AI to boost their performance, can fall prey to attacks targeting AI components or based on AI, and can use AI toward off attacks. Biometric applications serve to identify individuals based on their biological characteristics or behaviors. Currently, fingerprints and faces are the predominantly used biometric modalities, but systems based on hand veins, irises, or voices are also available. Biometric applications can use single modalities or combine multiple ones, and they can process static data (for example, for facial recognition) as well as (for example, for video identification or speaker verification). Data can be acquired using single or multiple sensors of different types (for ex-ample, optical or acoustic).