Face Match

Face matchcompares a live face (selfie or video frame) to the face on an identity document or an enrolled template to confirm it’s the same person. In compliance workflows, it links document authenticity to user ownership, reducing impersonation and synthetic identity risk. Modern systems combine feature embeddings, liveness, and PAD to resist spoofs (photos, masks, deepfakes). Thresholds are tuned to balance False Accept and False Reject Rates by product risk. Regulated onboarding often requires human review for borderline scores and clear audit trails. Quality controls (lighting, framing, glare) and bias testing improve accuracy across demographics. De-duplication prevents multi-accounting by comparing against existing galleries. Paired with document verification and registry checks, face match provides strong assurance for remote KYC, step-up authentication, and high-risk transactions .