Segmenting Non-Ideal Irises Using Geodesic Active Contours

  title={Segmenting Non-Ideal Irises Using Geodesic Active Contours},
  author={Ashley L Ross and Sanjay B. Shah},
  journal={2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference},
The richness and the apparent stability of the iris texture makes it a robust biometric trait for personal authentication. The performance of an automated iris recognition system is affected by the accuracy of the segmentation process used to isolate the iris structure from the other components in its vicinity, viz., the sclera, pupil, eyelids and eyelashes. Most segmentation models in the literature assume that the pupillary, the limbic and the eyelid boundaries are circular or elliptical in… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 13 references

Active shape models a) 50 $ / for effective iris segmentation

A. Abhyankar, S. Schuckers
inProceedings ofSPIE < / , < Conference on Biometric Technologyfor Human Identi- O40 , l tfication III, Orlando, FL, Apr. 2006. a 30 • 2006

Biometric identification system based on iris patterns

L. Masek, P. Kovesi
Matlab source code, The School of Computer Science and Software Engineering, (d) (e) (f) The University of Western Australia, 2003. Fig. 10. Segmentation results on other datasets. (a) and (b) WVU off-angle; (c) and (d) UBIRIS; (e) and (f) MMU1. 1-4244-0487-8/06/$20.OO ©2006 IEEE 2006 Biometric • 2003
View 2 Excerpts

Geodesic Active Contours

International Journal of Computer Vision • 1997
View 1 Excerpt

On active contour models and balloons

CVGIP: Image Understanding • 1991
View 1 Excerpt

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