Title :
Iris localization based on multi-resolution analysis
Author :
Pan, Lili ; Xie, Mei ; Ma, Zheng
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, China
Abstract :
Iris localization is an especially important step in the whole iris recognition system, for it determines the accuracy of matching partially. To improve its accuracy and efficiency, we propose a new iris localization algorithm in this paper, which detects the edge points of iris at some appropriate resolutions and fits circles to these edge points. The experiment results show that the proposed algorithm maintains a good compromise between accuracy and efficiency. The most important merit of this algorithm is that it¿s seldom disturbed by lash occlusion problem.
Keywords :
biometrics (access control); edge detection; eye; image matching; image resolution; edge point detection; image matching; iris localization; iris recognition system; multiresolution analysis; Biometrics; Detectors; Eyelashes; Eyelids; Image edge detection; Image segmentation; Information security; Iris recognition; Iterative algorithms; Voting;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761844