Liveness detection algorithms

Liveness detection algorithms verify that a person is physically present and real during biometric authentication, preventing fraud. They analyze cues like slight movements (e.g., blinking, head turns), texture of the skin, or responses to prompts to distinguish live individuals from photos, videos, or masks. Using sensors or cameras, these algorithms ensure the captured biometric data is from a genuine person, enhancing security in applications like facial recognition or fingerprint scans. Essentially, they act as a gatekeeper to confirm that the biometric feature is not fake, ensuring trustworthy access.