Improving Iris Recognition Performance Using Segmentation, Quality Enhancement, Match Score Fusion, and Indexing

@article{Vatsa2008ImprovingIR,
  title={Improving Iris Recognition Performance Using Segmentation, Quality Enhancement, Match Score Fusion, and Indexing},
  author={Mayank Vatsa and Richa Singh and Afzel Noore},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
  year={2008},
  volume={38},
  pages={1021-1035}
}
This paper proposes algorithms for iris segmentation, quality enhancement, match score fusion, and indexing to improve both the accuracy and the speed of iris recognition. A curve evolution approach is proposed to effectively segment a nonideal iris image using the modified Mumford-Shah functional. Different enhancement algorithms are concurrently applied on the segmented iris image to produce multiple enhanced versions of the iris image. A support-vector-machine-based learning algorithm… CONTINUE READING
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