This paper proposes an iris detection method based on color segmentation. To a localized eye image, color images contain more information helpful for detecting irises than intensity images.
提出了一种基于彩色分割的虹膜检测方法，对于一幅经过准确定位的眼睛窗口图像，它的彩色信息比灰度信息更有助于进行虹膜检测。
Detection can be understood through the iris test individual's physical condition so as to achieve the effect of health diagnosis.
通过虹膜测试检测可了解个人的身体状况从而达到保健确诊的效果。
In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition and this paper focuses on the last issue.
通常一个典型的虹膜识别系统包括虹膜成像、活体检测和虹膜识别，本文把重点放在最后一部分。
The researches are mainly focused on the improvement of iris sampling equipment, iris localization, the quality evaluation of iris image, live detection, coding and test statistic.
本文主要讨论了对虹膜采集装置的改进、定位、图像质量评定、活体检测和编码以及测试统计。
In view of disturbances of eyelids, eyelashes spots locate in the annular section, a detection method of eyelids and eyelashes in the iris segmentation is proposed.
虹膜分割是虹膜识别的前提，针对分割出的环状区域含有眼睑、眼睫毛和光斑等干扰，本文提出一种虹膜分割中的眼睑和睫毛的检测方法。
In order to ensure high recognition rate and remove the disturbing factor in iris image, an algorithm of segment detection is proposed to detect eyelid and remove it.
虹膜图像中通常包含了干扰因素的眼睑，为了消除影响识别效果的这种干扰因素，保证较高的识别率，提出一种分段检测算法。
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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