面向虹膜识别的多方向中心对称局部二值模式  

Iris Texture Characterization of Multi-Direction and Center-Symmetry Local Binary Pattern

作　　者：叶学义[1] 廖奕艺 王鹤澎 陈华华[1] 王浩[1] Ye Xueyi;Liao Yiyi;Wang Hepeng;Chen Huahua;Wang Hao(School of Communication Engineering,Hangzhou Dianzi University,Hangzhou 310018)

机构地区：[1]杭州电子科技大学通信工程学院,杭州310018

出　　处：《计算机辅助设计与图形学学报》2023年第8期1269-1278,共10页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家自然科学基金(U19B2016,60802047)。

摘　　要：为了提升虹膜纹理的表征效果,获得稳定的局部纹理信息表达,提出基于多方向中心对称局部二值模式的虹膜识别算法.首先通过眼睑边缘快速定位生成掩膜,抑制眼睑区域噪声;然后在多方向的基础上,提出多方向中心对称的局部二值模式完成虹膜纹理特征的表征;最后利用汉明距离判定虹膜是否匹配.针对由于类内与类间匹配次数失衡导致评价指标正确识别率存在的不足,提出修正的正确识别率.在CASIA.V1,CASIA.V3-Interval,JUL6.0和CASIA.V4-Lamp虹膜库上的实验结果表明,所提算法的修正的正确识别率分别为99.857%,99.940%,99.640%和97.973%,等错误率下降0.03%~5.96%;该算法能够有效地表征虹膜纹理信息,具有良好的识别性能和鲁棒性.In order to improve the iris texture characterization effect and obtain stable expression of local texture information,an iris texture characterization method based on multi-direction and center-symmetry local binary pattern is proposed.Firstly,a mask generated by quickly locating the edge of the eyelid is used to suppress the noise in the eyelid area.Secondly,on the basis of multi-direction,a proposed center-symmetry local binary pattern is used to characterize the iris texture.Finally,the shifting Hamming distance is used to determine whether the iris is matched or not.And specially to be mentioned is that the traditional correct recognition rate(CRR)is modified to deal with the shortcomings of the correct recognition rate evaluation index due to the imbalance of intra-class and inter-class matching times.The modified correct recognition rates obtained on CASIA.V1,CASIA.V3-Interval,JUL6.0 and CASIA.V4-Lamp libraries are 99.857%,99.940%,99.640%and 97.973%,respectively,and the equal error rate decreased by 0.03%-5.96%.The experimental results show that the proposed algorithm can effectively characterize the iris texture information,and has good recognition performance and robustness.

关 键 词：虹膜识别 多方向中心对称局部二值模式 掩膜 汉明距离 修正的正确识别率 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]