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
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;
Conference_Titel :
Network Computing and Information Security (NCIS), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-61284-347-6
DOI :
10.1109/NCIS.2011.83
