An Automatic Iris Occlusion Estimation Method Based on High-Dimensional Density Estimation

  title={An Automatic Iris Occlusion Estimation Method Based on High-Dimensional Density Estimation},
  author={Yung-hui Li and Marios Savvides},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
Iris masks play an important role in iris recognition. They indicate which part of the iris texture map is useful and which part is occluded or contaminated by noisy image artifacts such as eyelashes, eyelids, eyeglasses frames, and specular reflections. The accuracy of the iris mask is extremely important. The performance of the iris recognition system will decrease dramatically when the iris mask is inaccurate, even when the best recognition algorithm is used. Traditionally, people used the… CONTINUE READING
Highly Cited
This paper has 190 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 2 times over the past 90 days. VIEW TWEETS


Publications citing this paper.
Showing 1-10 of 21 extracted citations

191 Citations

Citations per Year
Semantic Scholar estimates that this publication has 191 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 33 references

Matching Deformed and Occluded Iris Patterns: A Probabilistic Model Based on Discriminative Cues

  • J. Thornton
  • PhD thesis, Dept of Electrical and Computer Eng…
  • 2007
2 Excerpts

Similar Papers

Loading similar papers…