Radon变换在虹膜去噪中的应用

Application of Radon Transform in Iris Noise eliminating

Radon变换在数学理论上有重要价值,并可用于图像直线特征的提取。本文基于Radon变换的基本原理,针对在虹膜识别中眼睑和睫毛等噪声信息的存在,提出一种运用Radon变换检测直线的方法检测眼睑并将其去除。通过在MATLAB上仿真结果表明,很好的抑制了噪声对虹膜识别的影响,可达到98.86%的识别率,并在保持1.143%较低拒绝率(FRR,false rejec-tion rate)的同时,也使误识率(FAR,false acceptance rate)减小到0%。

Radon transform has important value in mathematics theory, which can be used in algorithms for detecting linear features in an image. For the purpose of eliminating noise like eyelid and eyelashes during the procedure of the iris recognition, a method using Radon transform for detecting and removing noise is presented in this paper. Experimental results show that the method is effective in restraining iris noise, with recognition ratio up to 98.86%, False Acceptance Rates（FAR） equal to zero while False Rejection Rates （FRR） keeping 1.143%.