一种基于小波包分解的虹膜防伪检测方法  

Method for Fake Iris Detection Based on Wavelet Packet Decomposition

作　　者：安树娟[1] 何孝富[1] 施鹏飞[1] 

机构地区：[1]上海交通大学图像处理与模式识别研究所,上海200240

出　　处：《测控技术》2008年第6期9-11,共3页Measurement & Control Technology

基　　金：国家自然科学基金资助项目(60427002);国家863基金资助项目(2006AA01Z119)

摘　　要：虹膜识别系统易受到伪虹膜的攻击,包括利用打印在隐形眼镜、玻璃眼或其他材料上的假虹膜纹理进行的攻击,所以检测出假虹膜的防伪算法至关重要。为此,提出一种利用小波包分解进行特征提取的虹膜防伪检测方法。首先对目标图像进行二级小波包分解,然后计算各子带图像的熵,最后将各子带图像的熵值之和作为提取的特征值。实验在包含500幅虹膜图像的数据库中进行,结果表明此方法可以有效地将真假虹膜区分开来。Iris recognition systems are vulnerable to spoofing by fake copies which include a fake iris printed onto a contact lens, glass eye, or other artifice. The anti-spoofing algorithm that picks out fake iris data is highly desirable. An application of wavelet packet decomposition to the feature extraction part of a fake iris detection algorithm is represented. First, 2-layer wavelet packet decomposition is performed to the target image. Then, the entropy value associated with each sub-image is calculated. Finally, the sum of the entropy values is used as a feature value for discriminating fake iris from real ones. Experiments, conducted on a database of 500 iris images indicate the method to be very effective.

关 键 词：虹膜识别 防伪检测 生物特征识别 小波包 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]