A facial recognition system identifies an individual by analyzing unique facial characteristics such as the distance between the eyes, nose shape, jawline, and facial contours. The process begins by detecting a face from an image or live video stream. AI then aligns the face, extracts distinctive features, and converts them into a secure digital template called a faceprint.
The system compares this template against a stored database to either verify a claimed identity (1:1 verification) or identify an unknown individual from a large database (1:N identification). Modern deep learning models can accurately recognize faces even under challenging lighting conditions, different viewing angles, or partial facial obstructions.
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