Data Science Helps Secure Biometric Authentication

Biometric authentication traditionally relies on single identifiers like fingerprints or facial scans. However, these can be spoofed or altered by ageing, injury, or illness. To counter this, researchers are embracing biometric fusion, which combines multiple biometric inputs — including facial geometry, fingerprints, voice, and even behavioural patterns — to validate identity with greater certainty. A recent article on Data Science Central, explores how emerging techniques in data science are driving these systems forward.