AI Challenges the Uniqueness of Fingerprints
TL;DR
Recent AI research challenges the belief that all fingerprints are unique, as undergrad researchers at Columbia Engineering found that the angles and curvature at the center of fingerprints could be the same across an individual. Using a deep contrastive network and a US government database of 60,000 fingerprints, the team discovered that the network could identify if prints were from the same person with 77 percent accuracy, potentially aiding in solving cold cases and prioritizing leads in ambiguous situations. The results are set to be published in Science Advances on January 12.
Topics:sciencescience-and-technology#ai#fingerprints#forensics#neural-network#research#science-and-technology
- AI flips the script on fingerprint lore – maybe they're not so unique after all The Register
- Our fingerprints may not be unique, claims AI BBC.com
- US university uses AI to prove our fingerprints are not unique: Report WION
- AI innovates in forensic biometrics; finds not all fingerprints unique Biometric Update
- AI discovers that not every fingerprint is unique EurekAlert
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