What is Face Matching?
Face matching is the blanket term for determining if two facial images are of the same person. Face matching in practice refers to verification at login, selfie-to-ID comparison during onboarding, and deduplication as part of fraud investigations. Engines turn faces into embeddings; distance or similarity scores are used to make the decision.
What makes matching accurate: controlled capture, alignment, and anti-spoofing. Pair the engine with liveness technology to prevent replays and masks. Record thresholds and outcomes so you can explain decisions afterwards. When stakes increase—payouts, new devices—lower thresholds or require additional factors under a broader identity verification strategy.
