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
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;
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
DOI :
10.1109/ICNIDC.2009.5360867
