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 Liu | 1 | 2 | 1.07 |
Siew Kei Lam | 2 | 102 | 36.26 |
Thambipillai Srikanthan | 3 | 927 | 104.05 |
Weiqi Yuan | 4 | 23 | 9.00 |