虹膜识别算法的研究及实现

Daugman提出的虹膜识别算法具有准确性高，速度快的，但是有关该算法的具体实现却未见文献报道。对Daugman的算法进行了研究，工尝试该算法的实现，提出了一种新的粗定位和精定位相结合的算法来快速位虹膜。在滤波过程中仅利用了实部滤波器就可减少代码长度，而不影响识别效果，其中包括图像的预处理，多尺度2D Gabor滤波器的构造，虹膜码及Hamming距离的计算等。实验结果表明，该方法计算速度快，提取特征的效果好，可用于实际的身份鉴别系统。

Study and implementation of iris recognition algorithms

The algorithms for iris recognition set forth by Daugman can perform identification accurately and quickly, but the implementation about the algorithms has not been reported in open literatures. The algorithms are studied and implemented. A new method combining coarse location with fine location is proposed to locate the iris quickly. Furthermore, only the real parts of filters are used during the filtering, which can decrease code length and still have good results. The detailed procedure of implementing the algorithms is given, including preprocessing, constructing Gabor filters and the computation of iris codes and Hamming distances. The results show that this approach has very high speed of operation and good results of feature extraction and can be used for actual personal identification system.