提出了一种基于图像抽样的快速虹膜定位算法。
A rapid iris localization algorithm based on image sampling was proposed.
目前主流的虹膜定位算法在速度上都不能满足虹膜识别系统的实时要求。
Most accurate iris locating algorithm can't satisfy the time requirement of iris recognition system.
针对虹膜内边缘易变形，外边界边缘模糊从而虹膜定位困难等问题，提出了一种快速虹膜定位算法。
A fast iris location algorithm is proposed to aim at the problems such as inner edge deformation in iris and blurring outer edge leading to difficult iris location.
实验结果表明此方法算法简单、计算量小、抗干扰性强，并且能够准确的定位虹膜的内边缘。
Experiment results show that the proposed method is simple, requires minor calculations, exhibits a strong ability to reject noise, and is accurate in locating the iris inner boundary.
此文讨论了虹膜图像定位、增强等预处理的方法，并提出了一种相位相关的匹配算法对虹膜图像进行识别和判断。
The paper discusses the methods of iris location and image enhancement, and proposes a phase matching algorithm to recognize and identify iris.
针对虹膜二值边缘图像提取的困难，提出利用虹膜图像的灰度边缘图像以及虹膜的几何特征进行虹膜定位的快速算法。
Owing to the difficulties in extracting iris edge image, a new iris location algorithm using geometric symmetry feature and edge detection from gray scale image is presented.
实验结果证明改进的CRHT算法提高了虹膜定位速度。
Experiments show that the improved CRHT algorithms gained higher speed.
实验结果证明改进的CRHT算法提高了虹膜定位速度。
Experiments show that the improved CRHT algorithms gained higher speed.
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