DocumentCode
2781808
Title
An improved iris recognition system based on Gabor filters
Author
Zheng, Hui ; Su, Fei
Author_Institution
Sch. of Inf. & Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2009
fDate
6-8 Nov. 2009
Firstpage
823
Lastpage
827
Abstract
An improved iris recognition system based on even symmetry Gabor wavelet is proposed in this paper. In iris image preprocess, an effective segmentation and eyelids occlusion detection approach are introduced. During recognition, only the imaginary part of complex 2-D Gabor filter is used in coding for shorter code length but without affecting the recognition performance. A simple effective filter parameters selection scheme is proposed at the same time. Experimental results on CASIA1.0 and ICE 2005 databases clearly demonstrate that our improved methods can achieve highly accurate iris recognition with a short code length.
Keywords
Gabor filters; image coding; image segmentation; iris recognition; CASIA1.0 databases; Gabor filters; ICE 2005 databases; even symmetry Gabor wavelet; eyelids occlusion detection; filter parameters selection scheme; image coding; image segmentation; iris recognition; short code length; Biometrics; Eyelids; Eyes; Gabor filters; Ice; Image databases; Image matching; Image recognition; Image segmentation; Iris recognition; Gabor Filters; Iris plane; Iris preprocess; Iris recognition; Matching; Occlusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Infrastructure and Digital Content, 2009. IC-NIDC 2009. IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-4898-2
Electronic_ISBN
978-1-4244-4900-6
Type
conf
DOI
10.1109/ICNIDC.2009.5360867
Filename
5360867
Link To Document