Brandi Klingerman | October 27, 2016
Just like your fingerprints, using the iris of the eye for identification is unique to each individual person, making it just as useful for several forms of security. However, current types of iris identification applications can confirm whether or not two eyes match, but not necessarily why that is.
To overcome this issue, Notre Dame researchers have developed software that analyzes iris features, called crypts, for identification and presents them in an easily interpretable way.
This software code was developed by Jianxu Chen, current computer science and engineering graduate student; Patrick Flynn, the Duda Family Professor of Engineering; Danny Chen, professor of computer science and engineering; and Feng Shen, former computer science and engineering graduate student, to make the iris identification process easier for law enforcement to use and, hopefully, apply. The code works by looking at iris features and presenting them to the user in a way that is similar to a program that conducts fingerprint analysis.