基于SIFT和SDM的虹膜定位方法
发布时间：2018-10-18 16:42
【摘要】：为了提高虹膜定位的速度和稳定性,提出一种基于SDM的快速、稳定的虹膜定位算法.该方法首先采用径向对称变换粗定位瞳孔,然后采用微积分算子精定位瞳孔;选取SIFT特征描述虹膜外边缘及眼睑的边界特征,采用SDM算法求解定位结果,最后采用最小二乘法确定虹膜外圆及上、下眼睑边界参数.实验结果表明该算法大大提高了虹膜定位的效率和稳定性.
[Abstract]:In order to improve the speed and stability of iris localization, a fast and stable iris localization algorithm based on SDM is proposed. The method firstly uses radial symmetry transform to locate pupil rough, then uses calculus operator to precisely locate pupil, selects SIFT feature to describe the edge of iris and eyelid, and uses SDM algorithm to solve the location result. The parameters of the outer iris circle, upper eyelid and lower eyelid were determined by least square method. Experimental results show that the algorithm greatly improves the efficiency and stability of iris location.
【作者单位】： 东北大学理学院;
【基金】：国家自然科学基金资助项目(11371081)
【分类号】：TP391.41
[Abstract]:In order to improve the speed and stability of iris localization, a fast and stable iris localization algorithm based on SDM is proposed. The method firstly uses radial symmetry transform to locate pupil rough, then uses calculus operator to precisely locate pupil, selects SIFT feature to describe the edge of iris and eyelid, and uses SDM algorithm to solve the location result. The parameters of the outer iris circle, upper eyelid and lower eyelid were determined by least square method. Experimental results show that the algorithm greatly improves the efficiency and stability of iris location.
【作者单位】： 东北大学理学院;
【基金】：国家自然科学基金资助项目(11371081)
【分类号】：TP391.41
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