Iris Segmentation Method Based on Projection Constraints and Random Sample Consensus Hough Transform
The acquisition of non-cooperative iris images results in a large amount of interference and noise in the images.Therefore,a iris segmentation method based on projection constraints and ran-dom sample consensus Hough transform is proposed to extract the effective area of the iris.By project-ing the binary image of the iris,the approximate area of the iris is determined by the center and radius.In this area,the random sample consensus Hough transform is utilized to determine the inner and outer contours of the iris improving the accuracy of iris segmentation.Experimental results have shown that compared with existing methods,the error metrics E1 and E2 of iris segmentation methods can be im-proved by up to 8%and 20%,which have the most accurracy rate and appropriate time efficiency.