提出了一种新的基于局部纹理分析的虹膜识别算法。
In this paper, we proposed a new iris recognition method based on the analysis of local regions.
本文在前人研究的基础上，对虹膜识别算法的预处理进行了改进，并引入了粗分类模块。
Based on the previous research, the dissertation improved pre-processing module and added a rough classification module into the system.
本文针对现存的虹膜识别算法中的不足之处，对虹膜识别系统中的图像预处理过程和特征匹配过程进行了深入研究。
To overcome the deficiencies of the existing recognition algorithms, this thesis has studied the iris image preprocessing and the feature matching.
最后，利用MATLAB软件实现了虹膜识别算法，并在CASIA虹膜图像数据库上进行实验，取得了良好的效果。
In the last, using MATLAB software realizes the algorithm of iris recognition; experiment has performed on CASIA iris image database and has got a good effect.
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.
实验结果表明，该算法识别率高并可有效地应用于虹膜身份鉴别系统中。
Experimental results showed that the developed system with high identification rate could be used for a personal identification system in an efficient and effective manner.
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。
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.
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。
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.
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.
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.
结果表明：本方法能提高识别准确率、增强算法对采集图像质量要求的适应性，改善了虹膜识别系统的性能。
Results show that proposed means achieves quite high accuracy, which is efficient for boosting up adaptability to image quality and improving iris recognition performance.
结果表明：本方法能提高识别准确率、增强算法对采集图像质量要求的适应性，改善了虹膜识别系统的性能。
Results show that proposed means achieves quite high accuracy, which is efficient for boosting up adaptability to image quality and improving iris recognition performance.
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