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