Facial recognition systems use biometrics to map facial features from a photograph or video. It then compares the information with a database of known faces to find a match. Verification algorithms are used to match subjects to clear reference images, like a passport photo or mugshot. Under ideal conditions, facial recognition systems can achieve accuracy scores as high as 99.97%. However, accuracy decreases when images are too small, of poor quality, or taken from different angles. Facial recognition algorithms rely strongly on the nose bridge as a key facial marker so this system can be confused by covering one’s nose bridge with accessories like jewelry, face paint, or creative hairstyling to conceal the area just above the nose and between the eyes. Facial recognition can help verify personal identity, but it also raises privacy issues.

Proposed Legislation: Reintroduction of S.5289 - Ethical Use of Facial Recognition Act (117th Congress 2021-2022)
Prospective Sponsor: Sen. Jeff Merkley (OR)