Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13456
Title: Recognition of unideal iris images using region-based active contour model and game theory
Authors: Roy, K
Suen, CY
Bhattacharya, P
You, J 
Keywords: Iris recognition
Coalitional game theory
Modified contribution selection algorithm
Region-based active contour model
Issue Date: 2010
Publisher: IEEE
Source: 2010 17th IEEE International Conference on Image Processing (ICIP), 26-29 September 2010, Hong Kong, p. 1705-1708 How to cite?
Abstract: We process the unideal iris images that are acquired in an unconstrained situation and are affected severely by gaze deviations, eyelid and eyelash occlusions, non uniform intensities, motion blurs, reflections, etc. The proposed unideal iris recognition algorithm has two novelties as compared to the previous works; firstly, we propose to deploy a region-based active contour model to segment an unideal iris image with intensity inhomogeneity; Secondly, an iterative algorithm, called the Modified Contribution- Selection Algorithm (MCSA), is used in the context of coalitional game theory to select a subset of informative features without compromising the recognition rate. The verification performance of the proposed scheme is validated using the UBIRIS Version 1, the ICE 2005, and the WVU Unideal datasets.
URI: http://hdl.handle.net/10397/13456
ISBN: 978-1-4244-7992-4
978-1-4244-7993-1 (E-ISBN)
ISSN: 1522-4880
DOI: 10.1109/ICIP.2010.5653680
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

10
Last Week
0
Last month
0
Citations as of Aug 18, 2018

WEB OF SCIENCETM
Citations

6
Last Week
0
Last month
0
Citations as of Aug 11, 2018

Page view(s)

74
Last Week
1
Last month
Citations as of Aug 14, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.