中文摘要：

为了提高虹膜定位算法的抗干扰能力，本文提出了一种基于虹膜边缘识别的虹膜定位算法。该算法应用图像几何矩函数提取虹膜内外边缘的特征，通过由支持向量机（SVM）训练的分类器进行虹膜边缘点的识别。最后由Hough变换对识别的结果进行参数求解并实现虹膜的定位。本算法经过了CASIA虹膜图形库的实验验证，仿真实验数据表明所提算法不仅具有较快的定位速度和较高的定位成功率，而且性能稳定。

英文摘要：

Aimed at the resisting noise performance of iris localization, a new algorithm for iris slocalization based on iris boundaries recognition was presented. The features of iris inner border and outer border were extracted by image geometric moment function, which was used to recognize the borders of iris by trained Support Vector Machines （SVM） classifier. Finally, the parameters of iris borders were solved by the Hough transform, and the iris was localized： The proposed method was testified on CASIA iris database and the result was satisfying. The data from the simulation experiment show that the proposed method is computationally efficient and has higher correct ratio. Furthermore, the proposed method is less sensitive to obscuring element such as eyelashes and eyelids.