A typical iris recognition system includes iris imaging, iris location, iris recognition and pattern matching.
虹膜识别系统主要包括了图像采集、虹膜定位、虹膜识别和模式匹配四个部分。
The paper discusses the methods of iris location and image enhancement, and proposes a phase matching algorithm to recognize and identify iris.
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。
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.
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。
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.
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.
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。
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