Efficient iris recognition by characterizing key local variations

@article{Ma2004EfficientIR,
  title={Efficient iris recognition by characterizing key local variations},
  author={Li Ma and Tieniu Tan and Yunhong Wang and Dexin Zhang},
  journal={IEEE Transactions on Image Processing},
  year={2004},
  volume={13},
  pages={739-750}
}
  • Li MaT. Tan Dexin Zhang
  • Published 1 June 2004
  • Computer Science
  • IEEE Transactions on Image Processing
Unlike other biometrics such as fingerprints and face, the distinct aspect of iris comes from randomly distributed features. This leads to its high reliability for personal identification, and at the same time, the difficulty in effectively representing such details in an image. This paper describes an efficient algorithm for iris recognition by characterizing key local variations. The basic idea is that local sharp variation points, denoting the appearing or vanishing of an important image… 

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