DocumentCode
2196949
Title
A Iris Recognition Based on Geometric Information
Author
Deng, Lunman ; Song Jeong-Young
Author_Institution
Dept. of Comput. Eng., PaiChai Univ., Daejeon, South Korea
Volume
1
fYear
2011
fDate
14-15 May 2011
Firstpage
381
Lastpage
384
Abstract
Initial located point in pupil is gotten by gray level average value. What is more, on the base of rough localization of outer boundary, accurate localization method of outer boundary is improved. Which adopts independent component analysis to extract iris feature and core vector machines and geometric information to recognize. Experimental results show that the algorithm is feasible and suitable for iris recognition.
Keywords
feature extraction; independent component analysis; iris recognition; core vector machines; geometric information; gray level average value; independent component analysis; iris feature extraction; iris recognition; outer boundary; rough localization; Accuracy; Eyelids; Feature extraction; Gray-scale; Iris; Iris recognition; Support vector machines; core vector machines; geometric; independent component anslysis; iris localization; iris recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Computing and Information Security (NCIS), 2011 International Conference on
Conference_Location
Guilin
Print_ISBN
978-1-61284-347-6
Type
conf
DOI
10.1109/NCIS.2011.83
Filename
5948753
Link To Document