NDLI: Focus-score weighted super-resolution for uncooperative iris recognition at a distance and on the move

Content Provider	IEEE Xplore Digital Library
Author	Nguyen, K. Fookes, C. Sridharan, S. Denman, S.
Copyright Year	2010
Description	Author affiliation: Image and Video Research Laboratory, Queensland University of Technology, 2 George Street, GPO Box 2434, Brisbane, 4001, Australia (Nguyen, K.; Fookes, C.; Sridharan, S.; Denman, S.)
Abstract	Uncooperative iris identification systems at a distance and on the move often suffer from poor resolution and poor focus of the captured iris images. The lack of pixel resolution and well-focused images significantly degrades the iris recognition performance. This paper proposes a new approach to incorporate the focus score into a reconstruction-based super-resolution process to generate a high resolution iris image from a low resolution and focus inconsistent video sequence of an eye. A reconstruction-based technique, which can incorporate middle and high frequency components from multiple low resolution frames into one desired super-resolved frame without introducing false high frequency components, is used. A new focus assessment approach is proposed for uncooperative iris at a distance and on the move to improve performance for variations in lighting, size and occlusion. A novel fusion scheme is then proposed to incorporate the proposed focus score into the super-resolution process. The experiments conducted on the The Multiple Biometric Grand Challenge portal database shows that our proposed approach achieves an EER of 2.1%, outperforming the existing state-of-the-art averaging signal-level fusion approach by 19.2% and the robust mean super-resolution approach by 8.7%.
Starting Page	1
Ending Page	8
File Size	1218190
Page Count	8
File Format	PDF
ISBN	9781424496297
ISSN	21512205
e-ISBN	9781424496310
DOI	10.1109/IVCNZ.2010.6148792
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-08
Publisher Place	New Zealand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Strontium Iris Image resolution Image recognition MBGC Lighting super-resolution signal-level fusion Image restoration iris recognition Image reconstruction
Content Type	Text
Resource Type	Article

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