作　　者： ; ; ; ;

机构地区： 东北大学

出　　处： 《仪器仪表学报》 2006年第z3期2219-2220,共2页

摘　　要： 为了提高虹膜定位的准确性,结合小波分析、灰度阈值分割和Hough变换的优点,提出基于小波的虹膜定位方法。该方法根据虹膜图像的特点,先对其进行小波分析去噪,再用灰度阈值分割法分离出瞳孔区域,最后利用圆Hough变换确定出瞳孔的圆心和半径。并且利用瞳孔与虹膜的近似同心性,应用圆模板的方法求得虹膜的圆心和半径。实验结果证明,该算法提高虹膜定位的精度,并且具有较强的抗干扰能力。 In order to enhance the accuracy of the iris localization, a method of iris localization based on the wavelet is proposed. The method combines the merits of the wavelet analysis, the gray-level threshold segmentation and the Hough transform. On the basis of the iris image characteristic, firstly,the wavelet analysis is realized to eliminate the noise of the iris image; then the gray-level threshold segmentation is used to separate the pupil region;finally, the center and the radius of the pupil and the iris are determined by using the circle Hough transformand the circular template respectively. The experimental results prove that the algorithm proposed increases the precision of the iris localization and has a stronger anti-jamming ability.

关 键 词： 虹膜定位 小波分析 灰度阈值分割 圆 变换

领　　域： [机械工程] [机械工程]