Title :
Iris Location Algorithm Based on Gradient Direction Information
Author :
Wang, Zhiwen ; Li, Shaozi ; XIE, Guoqing ; Su, Songzhi
Author_Institution :
Dept. of Comput. & Eng., Guangxi Univ. of Technol., Liuzhou, China
Abstract :
The existing iris location algorithms are of low executing speed and poor robustness. In order to improve the accuracy of iris location, an iris location algorithm based on gradient direction information is proposed according to both the ring structural characteristics of iris and the gray distribution features of eye image in this paper. Experiments shows that the algorithm is effective and can improve the speed and accuracy of iris location.
Keywords :
biometrics (access control); image processing; eye image; gradient direction information; gray distribution features; iris location algorithm; Biometrics; Cognitive science; Computer science education; Educational technology; Focusing; Histograms; Humans; Iris recognition; Robustness; Security; Gradient direction information; Iris location; inner boundary of iris; outer boundary of iris;
Conference_Titel :
Education Technology and Training, 2009. ETT '09. Second International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3936-2
Electronic_ISBN :
978-1-4244-5527-0
DOI :
10.1109/ETT.2009.21
