Iris recognition technology has a new breakthrough 12 meters beyond the identification of real body [full text]
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The concept of iris recognition has long been proposed, but due to technical limitations, it is mainly applied to the medical field. Compared with the wide application of facial recognition and fingerprint recognition, iris recognition still has a mystery. Recently, the Carnegie Mellon University Biometrics Center has developed a new type of iris scanning technology to identify humans other than 40 feet (about 12 meters) by scanning human eye irises.
In the demonstration video of this technology, Marios Savvides, director of the Carnegie Mellon University Biometrics Center, sits in the driver's seat of a minivan, a long distance behind him. Colleagues simply identified his identity using the camera at the rearview mirror. The specific operation is that the computer system associated with the camera will compare the photographs of the photographed Savidus iris with its data, and then it will accurately display Savage's name and other identifying information.
Similar to other biometric technologies (such as fingerprint recognition or face recognition), Carnegie Mellon University uses a mathematical model recognition system. This system uses existing photographs or video to capture pictures, and then uses the database for comparison to find possible The "match".
Like a fingerprint, each iris is unique and does not change in one's life. High-resolution cameras can use the light in the near-infrared band to capture iris pictures.
Carnegie Mellon University wrote in the description of this project that this technology can scan human irises up to 40 feet away. In addition to the long-distance scanning function, this iris scanning technology actually requires only a ready-made camera, and most of the current commercial iris recognition systems use relatively expensive, cumbersome and multiple cameras.
Currently, this technology is used in Carnegie Mellon University's traffic node simulation system. If this technology can be used by law enforcement agencies, it will help the police identify drivers more quickly and safely. This technique can also be used to identify suspects who are fleeing and attempt to escape by changing their appearance.
"Even if I have a long beard, it looks completely different from what I was before, but our eyes will not change at all," Thavedes explained.
US law enforcement agencies are now increasingly interested in the application of biometrics. Seattle recently announced that they will become the largest city in the United States to adopt face recognition software. Last summer, the United States FBI also adopted a similar system.