Iris localization is a critical step for an iris recognition system because it directly affects the recognition rates. Consequently, in order to have reasonably accurate measures, we should estimate as many iris boundaries as possible which are defined by papillary and ciliary regions. Due to the contraction which is an intrinsic propriety of the pupil and the variations in the shooting angle, ...

Active contour is an effective technique for object boundary extraction in biomedical images such as blood vessel tracing or optic disc extraction in retinal images. The traditional serial realization of contour finding needs considerable processing time. This paper presents a parallel realization of the active contour model to speed up the contour convergence process. The initially drawn conto...

Snake is an active contour model for representing image contours. In this paper, we propose an e$cient active contour model which can represent highly irregular boundaries. The algorithm includes an adaptive force along the contour, and adjusts the number of points for the snake according to the desired boundary. A better stopping criterion based on the area of a closed contour is devised. Furt...

Image segmentation is a fundamental task in image analysis responsible for partitioning an image into multiple sub-regions based on a desired feature. Active contour models (ACMs) have been widely used as attractive image segmentation methods because they always can achieve sub-pixel accuracy, provide closed and smooth contours/surfaces and can also be treated as automatic segmentation while th...