A Critical Survey of Iris Based Recognition Systems
Asima Akber Abbasi, Sajid Ali Khan · 2013
Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad, Pakistan Abstract: Iris texture pattern can be used for biometric verification and identification of a person from a large dataset. However, such a biometric recognition system can only recognize those people who have already been enrolled in the system. Iris recognition systems have been an active area of research since long and iris recognition applications are increasing day by day. Traditional iris recognition systems work with cooperative databases (i.e., gaze at the center location). Accuracy of iris recognition is distressed by blurred, defocused and occluded images. It is mostly used for security purpose and has been implemented at points of entry or exit in a building. Researchers have been working from the last decades to extend the application of iris recognition system in other areas like tracing criminals, terrorist and missing children. In this paper, we critically evaluate different iris recognition techniques for both cooperative and non-cooperative databases. Strengths and weakness of different techniques are identified, which could be helpful for future research in this area.