基于Radon变换的多尺度虹膜识别算法

针对现有虹膜识别算法需要处理二维纹理信息,特征提取时间长,对噪声干扰比较敏感等问题,提出了基于Radon变换的多尺度虹膜识别算法.首先利用Radon变换将二维虹膜纹理信息转换为一维纹理信号,然后使用小波变换多尺度能量算子提取虹膜的特征信息,最后利用相异度函数进行匹配判别.实验结果表明,算法具有运算简单,快速等优点,同时算法能够较好地克服图像平移、缩放、旋转等几何攻击对识别带来的不利影响,具有较强的抗干扰能力和较高的识别率.

An multi-scale iris recognition algorithm based on radon transform

In order to solve some general problems in existing iris recognition algorithms such as sensitivity to noise and long calculation time for extracting 2-D feature etc,a new algorithm for iris identification of human eyes based on radon transform and multi-scale analysis was presented.First, radon transform was used to project the its texture to 1-D space,then multiscale analysis was implemented to extract its feature.Energy values at different scales could effectively reflect the different energy distributions of iris texture and thus were recorded as a feature vector.At last,the feature vector was compared with model features through a dissimilarity function in order to classify different iris samples.Experiment results show that the algorithm is efficient while it is translation,rotation and scaling invariant as well.