Iris localization is a very important part of iris recognition.
虹膜定位是虹膜识别中非常重要的一个环节。
A rapid iris localization algorithm based on image sampling was proposed.
提出了一种基于图像抽样的快速虹膜定位算法。
The speed and accuracy of iris localization is crucial in an iris recognition system.
快速、准确地定位虹膜是虹膜识别系统的关键。
In iris localization, a method of iris localization based on the human eye structure is presented.
在虹膜定位方面，提出一种基于人眼结构特征的定位方法。
In the system of iris recognition, iris localization and iris image quality assessment are very critical.
虹膜定位以及质量评估是虹膜识别系统中的关键步骤。
It is composed of iris localization, iris normalization, iris image enhancement and denoising in image preprocessing.
虹膜图像的预处理包括虹膜图像的定位、归一化、增强和去噪。
So when improving the speed and accuracy of iris localization, we must try our best not to lose iris texture information.
因此，必须在提高定位速度的同时保持定位的精度，不使虹膜纹理信息丢失。
Iris recognition system is made up by iris localization component, iris image preprocessing, iris feature extraction and classification.
虹膜识别系统一般可由虹膜定位、图像预处理、虹膜特征提取和分类识别几个部分组成。
Iris image preprocessing includes four parts: iris localization, iris normalization, iris image enhancement and choice of the valid region.
虹膜图像的预处理主要分为四步：内外边缘定位、图像归一化、图像增强和有效区域的划分。
This paper particularly analyzes some factors possibly disturbing iris localization in the iris image through the localizing pre processing.
由于在经过定位预处理之后的原始虹膜图像中，存在可能干扰定位的多种因素。
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。
Because the position and the size of irises in images are not fixed, these reasons result in that the computing burden increases and the iris boundary localization is slow.
虹膜在图像中的位置和大小不固定，这使得虹膜边界定位计算量大，定位速度慢。
The accuracy and the speed of iris boundary localization affect recognition system performance.
虹膜边界定位精度和定位速度影响识别系统性能。
The accuracy and the speed of iris boundary localization affect recognition system performance.
虹膜边界定位精度和定位速度影响识别系统性能。
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