Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101909
Title: Iris recognition of defocused images for mobile phones
Authors: Liu, Bo
Lam, Siew-Kei
Srikanthan, Thambipillai
Yuan, Weiqi
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: Liu, B., Lam, S.-K., Srikanthan, T., & Yuan, W. (2012). Iris Recognition Of Defocused Images For Mobile Phones. International Journal of Pattern Recognition and Artificial Intelligence, 26(08), 1260010.
Series/Report no.: International journal of pattern recognition and artificial intelligence
Abstract: In this paper, we introduce a novel iris recognition approach for mobile phones, which takes into account imaging noise arising from image capture outside the depth of field (DOF) of cameras. Unlike existing approaches that rely on special hardware to extend the DOF or computationally expensive algorithms to restore the defocused images prior to recognition, the proposed method performs recognition on the defocused images based on the stable bits in the iris code representation that are robust to imaging noise. To the best of our knowledge, our work is the first to investigate the characteristics of iris features for varying degree of image defocus when the images are captured outside the DOF of cameras. Based on our findings, we present a method to determine the stable bits of an enrolled image. When compared to iris recognition of defocused images that relies on the entire code representation, the proposed recognition method increases the inter-class variability while reducing the intra-class variability of the samples considered. This leads to smaller intersections between the intra-class and inter-class distance distributions, which results in higher recognition performance. Experimental results based on over 15,000 images show that the proposed method achieves an average recognition performance gain of about two times. It is envisioned that the proposed method can be incorporated as part of a multi-biometric system for mobile phones due to its lightweight computational requirements, which is well suited for power sensitive solutions.
URI: https://hdl.handle.net/10356/101909
http://hdl.handle.net/10220/16903
DOI: 10.1142/S0218001412600105
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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