【摘要】 为解决定位虹膜内外边缘时因轮廓信息不足会出现的定位不准确或者失败问题,提出一种采用霍夫变换与最小二乘法相结合的定位算法。首先使用形态学开操作减少图像中孤立的小点,并利用自适应阈值算法二值化图像;然后使用形态学闭操作补充小缝隙平滑图像边缘,再利用Canny算法提取图像边缘信息;最后根据内边缘与外边缘的差异性分别使用霍夫变换和最小二乘法定位虹膜内外边缘。经实验对比分析,该方法与传统算法相比,能更快速、准确地定位虹膜。更多还原

【Abstract】 To solve the problem that when positioning the inner and outer edges of the iris, insufficient contour information may re-sult in inaccurate positioning or failure, a positioning algorithm combining Hough transform and least squares method is proposed.Firstly morphological opening is used to reduce isolated small dots in the image, and adaptive threshold algorithm is used to convert images into binary images. Then the morphological closing operation is used to complement the small gap to smooth the edges of the image and Canny edge detection is used to extract image edge information. Finally, according to the difference between the inner edge and the outer edge, the inner and outer edges of the iris are positioned by Hough transform and least squares respectively.Verified by experimental comparison and analysis, this method can locate iris faster and more accurately than traditional algorithms.更多还原