Research on Iris Image Localization Algorithm Based on Active Contour Model

In this paper, we explore an iris image localization algorithm based on the active contour model. This algorithm represents an efficient technique widely applicable in iris recognition systems. We provide a detailed explanation of the fundamental principles and implementation steps of the iris localization algorithm, accompanied by MATLAB code implementation. The implementation includes key functions such as contour initialization, energy minimization through gradient descent, and boundary evolution using level set methods. Additionally, we discuss the algorithm's advantages and limitations, along with potential improvements to enhance its accuracy and stability. Through mathematical formulation of energy functions and iterative optimization techniques, we demonstrate how to refine boundary detection for irregular iris patterns. By studying this article, readers will gain comprehensive understanding of the active contour-based iris localization algorithm and will be able to apply it for developing and enhancing iris recognition systems.