DocumentCode
3113903
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
fYear
2009
fDate
13-14 Dec. 2009
Firstpage
99
Lastpage
101
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ETT.2009.21
Filename
5381366
Link To Document