中文摘要：

提出了一种新的虹膜特征提取算法．采用不同的图像基函数分析虹膜图像的基本微观结构，从而确定主导虹膜图像产生的图像基为LoG函数，进而利用LoG函数在多尺度空间检测虹膜细节特征．不同与传统多尺度分析的独立编码方法，通过推导LoG滤波器的标准化参数，计算标准化响应在尺度空间上的局部极值，确定虹膜每一细节特征的最佳尺度，只编码细节点在最佳尺度上的滤波输出，从而使得特征模板与单尺度分析时相同．实验比较表明，该方法用八分之一特征码长取得了与Dauman所提算法相近的性能，且与其他基于细节特征多尺度分析的虹膜识别算法相比，系统识别等错误率至少降低了5％．

英文摘要：

A new iris features extraction method is proposed. The micro-elements of an iris image are analyzed by various image base functions and it is determined that the LoG function is the base function dominating iris image generation. Then the LoG base is used to detect iris minutiae features with multiscales. Differing from the independent coding method used in traditional multi-scales analysis, the proposed method only codes the responses on the optical scale of each minutiae feature, which is determined by deriving the normalization parameter 9＇ used to normalize the filter responses and computing the local maxima in the scale-space of the normalized detector responses, so that the size of iris feature template is the same as that obtained by single scale analysis. Experimental comparisons show that the proposed method achieves a performance close to that of Daugman＇ s scheme only using the eighth template size and the Equal Errors of this system is 5% at least lower than that of other recognition methods based on iris minutiae features with multi-scale analysis.