Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/106616
Title: Exploiting stable features for iris recognition of defocused images
Authors: Liu, Bo
Lam, Siew-Kei
Srikanthan, Thambipillai
Yuan, Weiqi
Issue Date: 2012
Source: Liu, 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.
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.
URI: https://hdl.handle.net/10356/106616
http://hdl.handle.net/10220/17695
DOI: 10.1109/ISCAS.2012.6272207
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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