基于线性基函数模型的虹膜定位

摘要

To improve accuracy of non-circular iris segmentation, an iris segmentation algorithm based on linear basis function model is proposed. The proposed algorithm regards iris segmentation problem as a machine learning problem which derives iris boundary curve from iris boundary points. First, boundary points are located by coarse segmentation.Second, a linear basis function model is constructed to derive boundary curve from boundary points, thus the segmentation is complete. Compared with traditional iris segmentation algorithms, the proposed method locates non-circular iris with high accuracy, with the expense of a few more time. Experiment results on the dataset of CASIA-3.0 IRIS-Interval reveal that the accuracy of proposed method is 99.92％, and the time cost is lms more, which is capable for state-of-the-art iris recognition systems.%针对非圆虹膜定位困难的问题,本文提出了一种基于线性基函数模型的虹膜定位算法.该算法将虹膜定位问题看作从虹膜边缘点求虹膜边缘曲线的机器学习问题,先粗定位找到边缘点,再建立线性基函数模型从边缘点求得边缘曲线,从而实现了虹膜的精确定位.与传统的虹膜定位算法相比,所提算法能很好的定位非圆虹膜,而且花费时间只有极少的增加.在CASIA 3.0虹膜数据库上的仿真实验表明,所提算法定位准确率达到99.92%,定位时间只增加了1 ms,具有良好的实时性.