Publications:Iris Segmentation Using the Generalized Structure Tensor


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Title Iris Segmentation Using the Generalized Structure Tensor
Author Fernando Alonso-Fernandez and Josef Bigun
Year 2012
PublicationType Conference Paper
Conference SSBA Symposium 2012 (SSBA2012), Stockholm, Sweden, 8-9 mars, 2012
Diva url
Abstract We present a new iris segmentation algorithm based on the Generalized Structure Tensor (GST). We compare this approach with traditional iris segmentation systems based on Hough transform and integro-differential operators. Results are given using the CASIA-IrisV3-Interval database with respect to a segmentation made manually by a human expert. The proposed algorithm outperforms the baseline approaches, pointing out the validity of the GST as an alternative to classic iris segmentation systems. We also detect the cross positions between the eyelids and the outer iris boundary. Verification results using a publicly available iris recognition system based on 1D Log-Gabor wavelets are also given, showing the benefits of the eyelids removal step.