An iris segmentation technique using black hole search method and canny edge detector.

Biometric is the most fundamental and efficient technique used in terms of recognizing individuals uniquely. As we have two types of biometric; one on physical and the other in terms behavioral characteristics. Iris segmentation is a crucial stage in iris recognition systems since it determines the accuracy of all future phases and can be segmented using a variety of techniques. There are different iris segmentation techniques, but the most widely used ones are the circular Hough transform and Daugman's algorithm which are commonly employed in commercial and research problems involving iris recognition systems. In iris recognition system, the time it took to detect the iris and the accuracy with which it was located are both important aspects. Due to low in terms of accuracy we have suggested a different approach of iris segmentation based on the black hole search method and canny edge detector in this research. The proposed approach is tested using CASIA and MMU Database iris images. This technique is effective in terms of the time it takes to detect an eye's iris, as it directly utilizes intensity and shape. Also, we can detect the iris of an eye much faster than the standard technique with the help of image processing. [ABSTRACT FROM AUTHOR]