ABSTRACT
The second phase of iris recognition offers a system with more user-friendliness, effectiveness, efficiency, and higher accuracy performance in biometric system. Additionally, the method of implementation for iris recognition covers short-range and long-range detection. The short-range method consists of non-circular segmentation technique such as cascaded, multiscale, partial segmentation, feature selection and artificial intelligence that gives an alternative approach for segmentation and to achieve a better accuracy performance. The purpose of the short-range iris detection is to obtain iris template with high quality image and solely information about the iris template is gathered. Meanwhile, the long-range method emphasis on the deployment of iris at-a-distance or on-the-move systems for application in border control, airport system and video surveillance system. Moreover, the long-range detection helps the enforcement to control and monitor the citizen at the area from crimes and dangerous activity. However, the challenge faced by the second phase of iris recognition is pre-processing the iris template, extraction the iris template, sensor limitation and security of the iris template. The security of the iris template is crucial since it is prone to be hacked by the cyber-attacker.
