How to find the true iris position in an iris image is a key problem to be solved in iris recognition.
如何有效地确定虹膜在图像中的位置，是虹膜识别中需要解决的关键问题之一。
In order to improve the accuracy and stability of iris image classification, an iris image classification method was developed based on minimax probability machine.
为了提高虹膜图像分类的准确性和稳定性，提出了一种基于最小最大概率机的虹膜图像分类方法。
An iris recognition approach based on image phase correlation is presented in this paper.
该文提出一种基于图像相位谱互相关的虹膜识别方法。
An approach of mapped with bipolar coordinate and reduce noisy is used to normalize iris image in this paper, and annularity image with different centre is mapped onto bipolar coordinate efficiently.
本文介绍了一种用双极坐标映射和降噪的方法对虹膜图像进行归一化，可以有效的将不同心的环形图像映射到双极坐标系上。
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。
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。
Iris image quality evaluation is an important step of iris recognition, because the image quality is crucial to recognition effect.
虹膜图像质量评估是虹膜识别系统中的关键步骤，图像质量的好坏将直接影响后续识别结果的准确性。
This paper proposes an algorithm of iris automated identification and a method for rectification of geometric distortion of iris image. The matching result is measured by the relative coefficient.
提出了虹膜自动身份识别的算法及虹膜图像几何畸变的校正方法，最后用相关系数来测度图像的匹配结果。
During the image acquisition process of an automatic iris recognition system, unqualified iris images are probably rejected (Failure to Enroll).
在自动虹膜识别系统的图像采集过程中，不符合标准的虹膜图像可能被系统拒绝登录(“注册失败”)。
To improve the iris feature template data security, a data hiding approach based on bit streams is proposed, in which an iris feature template is embedded into a face image.
本文针对虹膜识别，提出了一种基于比特流的数据隐藏方法以增强虹膜特征模板数据的安全，可以应用于目前几种主要的虹膜识别算法。
To improve the iris feature template data security, a data hiding approach based on bit streams is proposed, in which an iris feature template is embedded into a face image.
本文针对虹膜识别，提出了一种基于比特流的数据隐藏方法以增强虹膜特征模板数据的安全，可以应用于目前几种主要的虹膜识别算法。
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