Title :
Binary Morphology and Local Statistics Applied to Iris Segmentation for Recognition
Author :
Kennell, L.R. ; Ives, Robert ; Gaunt, R.M.
Author_Institution :
Dept. of Electr. Eng., US Naval Acad., Annapolis, MD, USA
Abstract :
One of the first steps in iris recognition is isolating (or segmenting) the iris from an image of the subject\´s eye area. This paper investigates new approaches for locating the pupil (inner) and limbic (outer) boundaries of the iris, namely a binary morphology and "center of mass" technique for the pupil boundary, and a local statistics approach for the limbic boundary. The methodology and results are presented using images from the University of Bath iris database.
Keywords :
biometrics (access control); eye; image recognition; image segmentation; visual databases; University of Bath; binary morphology; iris database; iris recognition; iris segmentation; limbic boundary; local statistics approach; pupil boundary; Gray-scale; Image databases; Image processing; Image recognition; Image segmentation; Iris recognition; Morphology; Pixel; Statistics; Waveguide discontinuities; Image segmentation; image edge analysis; image processing;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.313183
