Statistical Richness of Visual Phase Information: Update on Recognizing Persons by Iris Patterns

@article{Daugman2001StatisticalRO,
  title={Statistical Richness of Visual Phase Information: Update on Recognizing Persons by Iris Patterns},
  author={John Daugman},
  journal={International Journal of Computer Vision},
  year={2001},
  volume={45},
  pages={25-38}
}
Algorithms first described in 1993 for recognizing persons by their iris patterns have now been tested in several public field trials, producing no false matches in several million comparison tests. The underlying recognition principle is the failure of a test of statistical independence on texture phase structure as encoded by multi-scale quadrature wavelets. The combinatorial complexity of this phase information across different persons spans about 244 degrees of freedom and generates a… CONTINUE READING
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