Face comparison systems detect faces in each image, convert each face into numeric embeddings, then calculate similarity between those embeddings.
Higher similarity scores suggest stronger resemblance. Lighting, angle, occlusion, and image quality affect confidence.
Use score thresholds as guidance, not identity proof. For high-stakes verification, use dedicated identity workflows and compliance controls.