A study from Columbia Engineering has found that fingerprints from different fingers of the same individual share significant similarities. Using deep contrastive learning, researchers demonstrated with over 99.99% confidence that these intra-person fingerprints are not entirely unique. This challenges the traditional forensic assumption that each fingerprint is distinct and unmatchable.
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