基于虹膜的身份认证技术研究

Research on Identification Verification Based on Iris

研究虹膜的身份认证问题,虹膜纹理提取特征维数十分大,直接识别速度慢,且识别正确率低。为了提高身份认证正确率,提出一种主成分分析的虹膜身份认证方法。首先采用微积分和极坐标方法对虹膜进行定位和归一化处理;采用小波矩和主成分分析对虹膜特征进行提取和选择,降低特征的维数,减少计算复杂度,再用汉明距离对虹膜进行匹配,实现身份认证。利用中科院CASIA虹膜数据库为例进行仿真,实验结果表明,相对其它身份认证算法相比,改进的算法提高了身份认证的正确率,缩短了认证时间,提高了认证效率,并适合于实时性要求高的身份认证场合。

Identification verification problem was studied.Traditional identification verification methods have different defects,while iris has the strongpoints of uniqueness and stability,non-invasive and etc,therefore,it is very suitable for identification verification.In order to improve the accuracy of the identification verification,this paper presented a new iris verification method.Firstly,integral-differential and polar methods located and normalized iris;then wavelet torque and principal component analysis were used to extract and select the iris features,reducing the characteristics dimensions and decreasing the computational complexity.Then Hai Ming distance was used to match the iris and realize the identity verification.Using CASIA iris database to carry out the simulation experiment,the experimental results show that,compared with other identity verification algorithms,the proposed method improves the accuracy of identity verification,shortens verification time and improves the verification efficiency.It is very suitable for real-time demand high identity verification occasion.