%0 Journal Article
%T Phase Correlation Based Iris Image Registration Model
%A Jun-Zhou Huang
%A Tie-Niu Tan
%A LI MA
%A Yun-Hong Wang
%A <br>Jun-Zhou Huang
%A Tie-Niu Tan
%A Li Ma
%A and Yun-Hong Wang
%J 计算机科学技术学报
%D 2005
%I 
%X Iris recognition is one of the most reliable personal identification methods. In iris recognition systems, image registration is an important component. Accurately registering iris images leads to higher recognition rate for an iris recognition system. This paper proposes a phase correlation based method for iris image registration with sub-pixel accuracy. Compared with existing methods, it is insensitive to image intensity and can compensate to a certain extent the non-linear iris deformation caused by pupil movement. Experimental results show that the proposed algorithm has an encouraging performance.
%K phase correlation
%K image registration
%K iris recognition
%K biometrics<br>相位相关
%K 图像识别
%K 虹膜识别
%K 生物统计学
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=846E98D42715A3C5C9616156FC6C468B&yid=2DD7160C83D0ACED&vid=A04140E723CB732E&iid=38B194292C032A66&sid=A4E67967A1AB25F0&eid=F10601728A1E9BEA&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=0&reference_num=20