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17th International Conference on Pattern Recognition (ICPR'04) - Volume 3
A New Iris Segmentation Method for Recognition
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
Junzhou Huang, Chinese Academy of Sciences, Beijing, P.R. China
Yunhong Wang, Chinese Academy of Sciences, Beijing, P.R. China
Tieniu Tan, Chinese Academy of Sciences, Beijing, P.R. China
Jiali Cui, Chinese Academy of Sciences, Beijing, P.R. China
As the first stage, iris segmentation is very important for an iris recognition system. If the iris regions were not correctly segmented, there would possibly exist four kinds of noises in segmented iris regions: eyelashes, eyelids, reflections and pupil, which will result in poor recognition performance. This paper proposes a new noise-removing approach based on the fusion of edge and region information. The whole procedure includes three steps: 1) rough localization and normalization, 2) edge information extraction based on phase congruency, and 3) the infusion of edge and region information. Experimental results on a set of 2,096 images show that the proposed method has encouraging performance for improving the recognition accuracy.
Citation:
Junzhou Huang, Yunhong Wang, Tieniu Tan, Jiali Cui, "A New Iris Segmentation Method for Recognition," icpr, vol. 3, pp.554-557, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 3, 2004
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