Iris Detection Through Watershed Segmentation

In this paper, we present a new iris detection method based on the use of watershed segmentation. The watershed transform is used for both pupil and iris detection, in combination with image quantization, aimed at reducing the number of gray levels, and image thresholding, aimed at discriminating foreground and background. The method has been tested on the CASIA-Iris-Interval Image database.