1) iris binary image
虹膜二值图像
2) iris image
虹膜图像
1.
Iris image compression algorithm based on symmetry and fractal coding
基于对称分形的虹膜图像压缩算法
2.
A kind of iris image acquisition system is proposed based on floating-point DSP chip TMS320VC6711.
提出了一种基于红外光源的、以浮点DSP芯片TMS320VC6711为核心的虹膜图像采集系统,介绍了其工作原理、软硬件设计与实现。
3.
According to characteristics of the iris image and the principle of the maximum entropy,we first get the maximal edge of iris by translating the image into another which consists of three gradations;then apply the Daugman algorithm to locating iris.
针对虹膜图像自身的特点,先利用最大熵的方法把虹膜图像分成3个灰度等级,使虹膜最大限度的呈现出内外边界,然后在此基础上运用Daugman提出的虹膜定位算法能更有效地定位虹膜。
3) iris imaging
虹膜图像采集
1.
A new auto-focusing algorithm based on Depth from Focus (DFF) was presented according to the properties of the automatic iris imaging system.
针对自动虹膜图像采集装置的成像特点,本文提出了一种新的基于对焦深度法的自动对焦算法。
4) iris segmentation
虹膜图像分割
1.
Fast and efficient iris segmentation;
快速有效的虹膜图像分割方法
5) Iris enhancement
虹膜图像增强
6) iris image preprocessing
虹膜图像预处理
1.
To overcome the deficiencies of the existing recognition algorithms, this thesis has studied the iris image preprocessing and .
虹膜图像预处理是虹膜识别系统的基础和关键，预处理的好坏直接影响着下面的特征提取过程和匹配过程。
2.
In this paper, by systematic analysis and finishing the work of our predecessors on the iris recognition results obtained on the basis of iris image preprocessing, iris feature extraction and coding, pattern matching and classification of the three thematic design of the algorithm for iris recognition technology to do an in-depth research.
本文在系统地分析和整理前人对虹膜识别工作所获得的成果的基础上,就虹膜图像预处理、虹膜特征提取与编码对虹膜识别技术的算法做了深入研究。
补充资料：二值图像
二值图像 binary image
每一像元只有两种可能的数值或灰度等级状态的图像。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条