Iris region extraction is an important stage of iris recognition system. The correctness of iris segment allocation affects the recognition accuracy. In this paper, a sophisticated system for localizing iris region is introduced; the Leading Edge Detector (LED) method is utilized to detect the iris boundary points. Also, the developed system implies different image enhancement and analysis pre-stages to improve the performance of leading edge method and make it capable to allocate the boundaries of iris area under different radiometric condition. Many problems face the eye image processing tasks, mainly these problems are addressed under" noise area" appearance, among these problems are: eyelash, eyelid and specular reflections. The proposed method is based on the morphological attributes of iris image, taking into account the noise area may found at different regions of the eye image. A set of tests was conducted on a collection of iris images consist of 2639 images belong to CASIA V4. 0, 756 images belong to CASIA V1. 0, and 457 images belong to MMU V1. 0 databases. The attained results show that the developed system has a good performance and the time required to perform iris localization is low in comparison with time required by the traditional methods.