Enhancement of iris boundary detection based on Otsu method

The aim of this paper is to propose a new method for pupil boundary detection. Iris recognition system is considered as one of the most dependable identification system. Anyhow, these systems are still not widespread due to many weaknesses, for example, the processing time is still not instant that lead to ineffectual identification method. One of the major tasks in iris recognition systems is accurate detection of the iris. However, pupil boundary detection method depended on the circular or elliptic shape of the iris which could lead to inaccurate results of boundary detection. Thus, this can affect on the next step of iris recognition systems. Hence this research proposed thresholding the eye image using Otsu's methods to remove the pupil. Our method was tested on all CASIA V3.0 eye images and 100% accuracy of iris boundary detection is attained with acceptable computational time that suitable to be implemented for real time processing.