SLIC: Short-length iris codes

@article{Gentile2009SLICSI,
  title={SLIC: Short-length iris codes},
  author={James E. Gentile and Nalini Ratha and Jonathan Connell},
  journal={2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems},
  year={2009},
  pages={1-5}
}
The texture in a human iris has been shown to have good individual distinctiveness and thus is suitable for use in reliable identification. A conventional iris recognition system unwraps the iris image and generates a binary feature vector by quantizing the response of selected filters applied to the rows of this image. Typically there are 360 angular sectors, 64 radial rings, and 2 filter responses. This produces a full-length iris code (FLIC) of about 5760 bytes. In contrast, this paper seeks… CONTINUE READING
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Identifying discriminatory information content within the iris

  • R. Broussard, L. Kennell, R. Ives
  • In Proc. SPIE,
  • 2008
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