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You are at:Home » AI Discovers that Your Fingerprint is Not Actually Unique
Ai Discovers That Your Fingerprint Is Not Actually Unique
Science January 13, 2024

AI Discovers that Your Fingerprint is Not Actually Unique

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New AI has revealed unexpected discoveries. Surprisingly, your fingerprints aren’t as unique as previously thought.

Well, at least when compared to each other. It has long been believed that fingerprints on different fingers of the same person are unique. In other words, the fingerprint on your index finger bears little resemblance to the fingerprint on your thumb.

This belief that “intrapersonal fingerprints” are unique has had a major impact on forensic science. For example, if a criminal leaves different finger prints at different crime scenes, it is difficult for police to link them to one person.

But a new “deep contrast network” artificial intelligence built by scientists at Columbia University could leave a big mark on future crime scenes. The researchers found that they could make predictions after training on a database of 60,000 fingerprints. Two prints are from the same person with 77% accuracy.

This number would rise even more if the AI was fed other fingerprints from the same hand. Researchers say this breakthrough could improve current forensic efficiency by more than 10 times.


“Imagine how well this would work [AI] “If it’s trained on millions of fingerprints instead of thousands, it will work,” said Anib Ray, engineering senior at Columbia.

Dr. Hod Lipson“If this information tipped the balance, I imagine there would be a resurgence of cold cases and even innocent people could be exonerated,” said the author, who oversaw the study.

So what has AI discovered that forensic scientists have missed for decades? Unlike traditional fingerprint comparisons, AI detects “minutiae,” or similarities between the branches and ends of fingerprint ridges. was not focused on. Instead, they focused on the angles and curvature of the whorls and loops at the center of the fingerprint.

Fingerprints are examined by minutiae (L) and central ridge angle (R). – Photo credit: Columbia University.

“Many people think that AI can’t actually make new discoveries, it just regurgitates knowledge,” Lipson says. “However, this study shows that even very simple AI, based on very simple datasets that the research community has had lying around for years, provides insights that have eluded experts for decades. This is an example of how we can deliver.”

After all, the fingerprints on your fingers may not be that different from each other, but it is unlikely to be shared with others. In fact, the chances that two people share the same fingerprint are estimated to be less than 1 in 64 billion. This means that probably more than 1 million years two people with identical fingerprints happen to appear in Scotland Yard’s fingerprint database.

Identical twins also have unique patterns. This is because the bumps on your fingers are determined not only by your DNA, but also by how you developed as a fetus. The length of the umbilical cord, its position in the uterus, blood pressure, nutrition, and rate of finger growth all play a role.

Gorillas, chimpanzees, and koalas are some of the animals that have been found to have unique markings.

Read more:

Source: www.sciencefocus.com

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