基于分裂合并的虹膜识别算法

A new Iris recongition methord based on area split and merge

在暴露的有效虹膜区域满足识别要求的前提下,为了克服采集到的虹膜区域位置被遮挡的随机性,而造成识别率的下降。本文提出一种基于分裂合并的虹膜识别算法,首先通过对归一化的虹膜图像进行噪声检测,之后采用分裂合并的算法进行有效区域分割,计算有效区域所占整个虹膜区域的比例,如果暴露的有效区域大小满足识别的要求,通过Gabor变换提取方向信息形成特征码进行匹配。通过实验和实际使用证明该算法能够有效地克服由于个体的差异和采集过程的不确定性导致虹膜区域被遮挡的随机性,并且达到很高的识别率。

In the premise of effective iris area achieve Iris recognition performance.To solve the problem of the iris was covered randomly.A new method is presented based on the area split and merge.Firstly,noises are detected in normalized iris image.Secondly,effective areas of image are segmented using split and merge,if the percentage of effective areas is large enough to recognize,Gabor filters are used to extract orientation features and classified.Experiment shows that the method can achieve iris recognition performance which has high accuracy.This method is not sensitive to which part of iris is covered.