【摘要】 提出基于Haar小波变换的虹膜识别算法.通过Haar小波变换对归一化虹膜图像进行特征提取,运用Hamming距离对2个虹膜特征进行模式匹配.与Daugman的虹膜识别算法比较,该方法在编码长度和编码时间上都有较明显的改进,且算法具有良好的鲁棒性,可用于实际的身份鉴别系统中.更多还原

【Abstract】 In this paper,iris recognition algorithm based on Haar wavelet transform is proposed.Haar wavelet transform is used to extract feature for mapped iris images.Then Hamming distance is used to match two iris features.The tests show that compared with Daugman’s iris recognition algorithm,this method has improved the coded length and coded time.Moreover,the algorithm has a good robustness,so it can be used in a personal identification system.更多还原