Iris segmentation methodology for non-cooperative recognition

@inproceedings{Proena2000IrisSM,
  title={Iris segmentation methodology for non-cooperative recognition},
  author={Hugo Proença and Lu{\'i}s A. Alexandre},
  year={2000}
}
An overview of the iris image segmentation methodologies for biometric purposes is presented. The main focus is on the analysis of the ability of segmentation algorithms to process images with heterogeneous characteristics, simulating the dynamics of a non-cooperative environment. The accuracy of the four selected methodologies on the UBIRIS database is tested and, having concluded about their weak robustness when dealing with non-optimal images regarding focus, reflections, brightness or… CONTINUE READING
Highly Cited
This paper has 217 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 137 extracted citations

Iris segmentation exploring color spaces

2010 3rd International Congress on Image and Signal Processing • 2010
View 6 Excerpts
Highly Influenced

Real Time Iris Image Segmentation for Non Co-Operative Environment

Patil Mayur
2014
View 5 Excerpts
Highly Influenced

217 Citations

02040'08'11'14'17
Citations per Year
Semantic Scholar estimates that this publication has 217 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 11 references

Iris recognition using self-organizing neural network

L. Liam, A. Chekima, L. Fan, J. Dargham
Student Conf. on Research and Developing Systems, Malaysia, • 2002

Moment based texture segmentation

M. Tuceryan
Pattern Recognit. Lett., 1994, • 1994

Moment-based texture segmentation

Pattern Recognition Letters • 1994

Iris recognition system

L. Flom, A. Safir
U.S. Patent 4641394, • 1987

Similar Papers

Loading similar papers…