An effective human iris code with low complexity

@article{Monro2005AnEH,
  title={An effective human iris code with low complexity},
  author={Donald M. Monro and Dexin Zhang},
  journal={IEEE International Conference on Image Processing 2005},
  year={2005},
  volume={3},
  pages={III-277}
}
A human iris coding technique is reported based upon differences in the power spectrum of fragments from normalized iris images. The procedure has been applied to a set of 2174 images from 308 eyes and tuned over a range of parameters. For identity recognition, 100% correct recognition is achieved using a weighted Hamming distance metric. For identity verification, a variable threshold is applied to the distance metric and the false acceptance and false rejection rates are recorded. After… CONTINUE READING
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