An algorithm of iris location based on least squares and Hough transform
Tian Zilin, Jiaxin Chen · DOAJ (DOAJ: Directory of Open Access Journals) · 2019
To solve the problem that when positioning the inner and outer edges of the iris, insufficient contour information may result 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.