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Originally published February 23 2006

New identification technology depends on a blood cell scan

by Mike Adams, the Health Ranger, NaturalNews Editor

A Tennessee company called Luminetx has developed a method for identifying persons via the blood cells in their veins.



The technology is based on an infrared scan of the blood cells running through veins, which is then analyzed by a computer. Luminetx originally developed the technique as a way to help doctors and nurses find veins in patients needing injections. "Our vein structures are completely different, especially when you look at the palm," said Luminetx Chief Executive Officer Jim Phillips, speaking at The Entertainment Gathering conference here Wednesday. "In a way, it's like looking at a bar code. The drive for technology that can uniquely identify individuals has been given new urgency by the ongoing threat of terrorist attacks and the growing incidence of identity theft. Basic biometric tools such as fingerprinting and retinal scans are now being widely installed at airports and other transit points. Biometrics experts in the United States and Europe are trying to develop standards that can help unify a fast-changing industry. Researchers at Clarkson University have found that fingerprint scanners could be fooled with images lifted from Play-Doh, for example, or a model of a finger made with dental plaster. The medical tool uses the infrared scanner to detect veins up to half an inch under the skin, analyzes the data in real time with a Pentium 4 computer, and then projects a digital image back onto the skin. The resulting ghostly greenish image looks a little like a cartoon X-ray, showing the precise locations of veins under the skin. These tests will tell * What are Amazon's search intentions? The company was granted a patent for the biometric applications of the technology last September. He said he's sensitive to potential privacy concerns, but he believes the dangers of identity theft and other terrorism justify creating technology to help with the near-perfect identification of individuals.


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