基于Nonsubsampled Contourlet变换的虹膜特征提取与匹配  

Iris feature extraction and matching based on Nonsubsampled Contourlet transform

作　　者：黄晓宇[1] 

机构地区：[1]湖南工程学院计算机科学与技术系,湖南湘潭411101

出　　处：《计算机工程与设计》2009年第5期1165-1167,1172,共4页Computer Engineering and Design

基　　金：湖南省教育科研基金项目(02C183)。

摘　　要：为了鲁棒地获得高品质的虹膜纹理特征矢量,提出了一种新的无参数滤波器堆与虹膜感兴趣区域获取技术相结合的特征矢量提取方法。分析了基于Nonsubsampled Contourle变换(NSCT)滤波器的结构与性能,给出了无参化NSCT滤波器的设计步骤和设计要点。提出了采用坐标变换、剪切、平移和组合的虹膜感兴趣区域预处理技术。用NSCT滤波器滤波该虹膜感兴趣区域来获得信息丰富且少干扰的虹膜图案的特征矢量。实验结果表明该方法是更为有效的。A novel feature vector extraction method is provided that combine non-parameter filters with the iris image for region of interested （ROI） for obtain robustly the iris texture feature vector of high-quality. The framework and performances of the filter based on the nonsubsampled contourlet transform （NSCT） are analyzed, the design step and the design key point of the non-parametric NSCT filter are provided. The preprocessing technology of the iris pattern for region of interested （ROI） of extraction is presented using coordinate conversion, cut back, translation, and combination. Filtering the iris ROI with the NSCT filter, getting the iris pattern feature vector which with rich information and few interference. Experiment demonstrates this method is more effective.

关 键 词：非采样CONTOURLET变换 虹膜特征提取 感兴趣区域 特征矢量 匹配算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]