Title
Exploiting Stable Features For Iris Recognition Of Defocused Images
Abstract
We present a novel approach for recognizing defocused iris images captured outside the Depth of Field (DOF) of cameras. Unlike existing approaches, we do not rely on special hardware or on computationally expensive image restoration algorithms. Instead, the proposed recognition approach exploits stable bits in the iris code representation which are robust to imaging noise. Experimental results based on over 15,000 images show that when compared to iris recognition of defocused images that relies on the entire code representation, the proposed method achieves an average recognition performance gain of over 2 times. Due to its low computational requirements, the proposed method is well suited for use as part of a multi-biometric system in ubiquitous systems.
Year
DOI
Venue
2012
10.1109/ISCAS.2012.6272207
2012 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 2012)
Keywords
Field
DocType
depth of field,image restoration,adaptive optics,image recognition,optical imaging,iris recognition
Iris recognition,Computer vision,Ubiquitous systems,Iris code,Computer science,Artificial intelligence,Image restoration,Optical imaging,Depth of field,Adaptive optics
Conference
Volume
Issue
ISSN
null
null
0271-4302
Citations 
PageRank 
References 
0
0.34
7
Authors
4
Name
Order
Citations
PageRank
Bo Liu121.07
Siew Kei Lam210236.26
Thambipillai Srikanthan3927104.05
Weiqi Yuan4239.00