AI Tool Challenges Fingerprint Individuality by Matching Prints from Different Fingers
-
An AI tool has been able to identify fingerprints from different fingers that belong to the same person, challenging the belief that each fingerprint is unique.
-
The AI tool was able to match fingerprints with 75-90% accuracy by potentially analyzing orientation and curvature rather than traditional markers.
-
This could impact biometrics that rely on one finger for ID, and forensics where prints from multiple fingers could now be linked.
-
More research is needed as the AI was trained on high quality full prints, unlike partial prints often found at crime scenes.
-
Fingerprint uniqueness has never been conclusively proven; the AI focuses on new markers that may change over time or with skin distortion.