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Published: 08.04.2014. Category: Tattoo Patterns

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Either the page you requested never existed, was deleted by the user, or it was removed for violating our terms of service. The National Institute for Standards and Technology, a part of the Commerce Department that has taken the lead on evaluating biometrics, organized a “challenge” in which groups faced off to see who could deliver software and algorithms that identified tattoos most accurately. The event, sponsored by the FBI’s Biometric Center of Excellence, brought together researchers from academia and the private sector to test image recognition technology against five different scenarios. Groups of researchers, including some from Purdue University and the MITRE Corporation, worked with data sets ranging from hundreds to thousands of images.

Some of the systems had “hit rates well above 90 percent” in some of the tests, like basic tattoo detection and identification over time as well as matching up a small piece of a tattoo to an image showing the whole thing, said Mei Ngan, the NIST computer scientist who organized the event. But other tests, like using sketches or computer graphics to match up with a real tattoo and trying to identify shared characteristics across different tattoo designs were more challenging. Images of tattoos are already part of the FBI’s massive Next Generation Identification database, which focuses on biometric identifiers, including fingerprint and facial recognition.
And now the government is trying to beef up technology that can automatically identify people by their tattoos. But tracking down criminals, who often sport tattoos at a higher rate than the general population, Ngan said, is the main reason the government is so interested in the technology.

But it currently relies on written descriptions of tattoos to help identify suspects, said Ngan.

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