원문정보
초록
영어
An automatic and robust iris segmentation algorithm will be employed when iris recognition is used to identify human efficiently. Many studies have shown that iris localization is one of the most important parts of the iris recognition system. Most current studies are based on the assumption that iris edge is round, and the gray information of eye image is used for iris segmentation, which requires very high quality of image. Based on the active contour model, an algorithm for iris location was proposed. First, a plurality of pupil edge points was located as the initial contour point set. Then, the real contour evolution of pupil was approximated by the approximation of energy function. Finally, the accurate iris edge was located by daugman’s circular gradient operator. Based on CASIA (V2.0) iris database, experiment results show that the location effect of the proposed algorithm is more superior than that of the classical calculus method and hough transform method.
목차
1. Introduction
2. Iris Image Preprocessing
3. Iris localization Algorithm based on the Active Contour Model
3.1 Basic Principle of the Active Contour Model
3.2 The Pupil Center and the Initial Contour Set Detection
3.3 The Localization of the Iris Inner Boundary
4. The Localization of Iris Outer Boundary
5. The Results and Analysis of Experiments
6. Conclusion
References