Neural iris signature recognition (NISR)

Abstract

The security and the proper identification of individuals are vital requirements for many different applications. Biometric systems in general provide automatic recognition and identification of individuals taking advantage of the unique features of every individual. Iris recognition has a great advantage over other biometric recognition techniques, due to its huge variability of patterns among individuals. Consequently, Iris recognition tasks, even on a large database like the Chinese Academy of Sciences’ Institute of Automation (CASIA) can be searched without finding a false match. The objective of this research is to create an iris recognition system with high accuracy. This is achieved by utilizing Daugman algorithm and other techniques.