%0 Journal Article
%T A Study on Defocused Iris Image Restoration<br>一类离焦虹膜图像复原算法的研究
%A MA Jie
%A ZHANG Zhong-Bo
%A YANG Hang
%A ZHOU Chun-Guang
%A <br>马捷
%A 张忠波
%A 杨航
%A 周春光
%J 自动化学报
%D 2012
%I 
%X Generally, acquisition equipments in iris recognition systems have a shallow depth of field (DOF), which are very sensitive to defocus. Methods to recover defocused images are needed both in theoretical researches and in real-world applications. In this paper, an indicator function of regular hexagon was used as the point spread function (PSF) to solve the recovery problem of defocused iris images. By analyzing the zero distribution of PSF in frequency domain, we theoretically, proved the zero theorem for the round of zero points nearest to the center of frequency domain. We also provided the computational method to find zero points and the fast algorithm to recovery this kind of defocused images. The experimental results showed the efficiency of the algorithm.
%K Iris recognition
%K point spread function (PSF)
%K image restoration
%K inverse filtering<br>虹膜识别
%K 点扩散函数
%K 图像复原
%K 逆滤波
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=B39D47F72CB13A76CBB118C39D3BFE2F&yid=99E9153A83D4CB11&vid=16D8618C6164A3ED&iid=B31275AF3241DB2D&sid=4986C0B14AED27B4&eid=20154CF366EC08B1&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=17