dc.contributor.authorLiu, Bo
dc.contributor.authorLam, Siew-Kei
dc.contributor.authorSrikanthan, Thambipillai
dc.contributor.authorYuan, Weiqi
dc.identifier.citationLiu, B., Lam, S.-K., Srikanthan, T., & Yuan, W. (2012). Exploiting stable features for iris recognition of defocused images. 2012 IEEE International Symposium on Circuits and Systems, 97-100.en_US
dc.description.abstractWe 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.en_US
dc.titleExploiting stable features for iris recognition of defocused imagesen_US
dc.typeConference Paper
dc.contributor.conferenceIEEE International Symposium on Circuits and Systems (2012 : Seoul, Korea)en_US
dc.contributor.researchCentre for High Performance Embedded Systemsen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US

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