AI study reveals every fingerprint is not unique
Gabe Gua, an undergraduate student in the computer science program at Columbia University, led the research team on this topic. Professor Wenyao Xu of Buffalo University was also included with him. This study has been published in the Science Advances Journal and is different from what was thought till now about fingerprints.
During research it came to light that every fingerprint is not unique. There are similarities even in the fingerprints of different fingers. Researchers believe that the AI tool has analyzed fingerprints differently than traditional techniques. The AI has focused on the direction of the lines in the middle of the finger.
The authors associated with the research say that their data may be biased, but it is encouraging to discover new information about fingerprints. Such tools can help in many types of investigations. This can help in knowing what is the similarity or difference between the fingerprints found at the place of incident and the fingerprints of the accused.
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