Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Crystal growth and dendritic solidification
Journal of Computational Physics
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature Selection via Coalitional Game Theory
Neural Computation
Optimal Features Subset Selection Using Genetic Algorithms for Iris Recognition
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
New Methods in Iris Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On Techniques for Angle Compensation in Nonideal Iris Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Iris recognition based on zigzag collarette region and asymmetrical support vector machines
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Unideal iris segmentation using region-based active contour model
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
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This paper presents an efficient algorithm for iris recognition using the level set approach and the coalitional game theory. To segment the inner boundary from a nonideal iris image, we apply a level set based curve evolution approach using the edge stopping function, and to detect the outer boundary, we employ the curve evolution approach using the regularized Mumford-Shah segmentation model with an energy minimization approach. An iterative algorithm, called the Contribution-Selection Algorithm (CSA), in the context of coalitional game theory is used to select the optimal features subset without compromising the accuracy. The verification performance of the proposed scheme is validated using the UBIRIS Version 2, the ICE 2005, and the WVU datasets.