Speed-up multi-stage non-cooperative iris recognition Online publication date: Sat, 29-Nov-2014
by Kai Yang; Eliza Yingzi Du
International Journal of Biometrics (IJBM), Vol. 4, No. 4, 2012
Abstract: Iris is tested to be the most accurate one. However, most existing methods are not designed for non-cooperative users and cannot work with off-angle or low quality iris images. In this paper, we propose a robust multi-stage feature extraction and matching approach for non-cooperative iris recognition. We developed the Speed Up Robust Feature (SURF)-like method to extract stable feature points, used Gabor Descriptor method for local feature description, and designed the multi-stage feature extraction and 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.
Online publication date: Sat, 29-Nov-2014
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biometrics (IJBM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org