DocumentCode :
2385987
Title :
A multi-stage approach for non-cooperative iris recognition
Author :
Yang, Kai ; Du, Eliza Yingzi
Author_Institution :
Dept. of Electr. & Comput. Eng., Indiana Univ.-Purdue Univ., Indianapolis, IN, USA
fYear :
2011
fDate :
9-12 Oct. 2011
Firstpage :
3386
Lastpage :
3391
Abstract :
In this paper, we proposed a robust multi-stage feature extraction and matching approach for non-cooperative iris recognition. To speed up the process, we used the SURF concept that treats the image as discrete and digital matrices. Unlike SURF method, we applied Gabor wavelets for feature extraction. More importantly, we designed a multi-scale feature point extraction method and a multi-stage matching scheme to improve the recognition accuracy and speed. The experimental results show that the proposed method can not only improve the process speed but also achieve better recognition accuracy.
Keywords :
Gabor filters; feature extraction; image matching; iris recognition; wavelet transforms; Gabor wavelets; SURF method; digital matrices; discrete matrices; image matching; multiscale feature point extraction method; multistage approach; multistage feature extraction; multistage matching scheme; noncooperative iris recognition; Databases; Feature extraction; Filter banks; Fitting; Gabor filters; Image segmentation; Iris recognition; multi-stage feature extraction and matching; speed-up non-cooperative iris recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location :
Anchorage, AK
ISSN :
1062-922X
Print_ISBN :
978-1-4577-0652-3
Type :
conf
DOI :
10.1109/ICSMC.2011.6084192
Filename :
6084192
Link To Document :
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