Identifying people by acquiring pictures of their eyes is becoming easier, according to a new report from Commerce's National Institute of Standards and Technology (NIST). NIST researchers evaluated the performance of iris recognition software from 11 different organizations and found that some techniques produced very rapid results—though this speed was often at the cost of accuracy.

Iris recognition, a form of biometric identification based on noncontact imaging of the complex texture in an individual's iris, has been purported to be both fast and accurate—claims that had not been validated until now. The Iris Exchange (IREX) III report is the first public and independent comparison of commercially available algorithms that use iris recognition for the challenging task of finding an individual match within a large database of potential identities. Previous published studies only used single algorithms or considered "one-to-one" verification, in which an individual claims an identity and the software then attempts to confirm whether the claim matches a specific record.