Iris Frill Detection Method Based on Gradient Extremum
Yuan Wei-q · Jisuanji gongcheng · 2014
In the computer aided iris diagnosis, iris frill positioning is the foundation of the other iris anomaly feature detection. According this feature, this paper puts forward a detection method based on image gradient extreme. According to the vertical gray difference between the iris frill and its surrounding areas, it uses the improved gradient detection operator to get the image gradient value on the normalized image, extracts the maximum gradient value and gets the frill outline. Contour points are reduced and displayed in the original gray image. Experimental results show that the location accuracy of this method can reach 92.5%, and it has a good effect in the iris frill positioning problem.