Unconstrained Iris Segmentation Using Convolutional Neural Networks
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-21074-8_36
Reference38 articles.
1. Abdullah, M.A., Dlay, S.S., Woo, W.L., Chambers, J.A.: Robust iris segmentation method based on a new active contour force with a noncircular normalization. IEEE Trans. Syst. Man Cybern.: Syst. 47(12), 3128–3141 (2017)
2. Alonso-Fernandez, F., Bigun, J.: Iris boundaries segmentation using the generalized structure tensor. A study on the effects of image degradation. In: 2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS), pp. 426–431. IEEE (2012)
3. Alonso-Fernandez, F., Bigun, J.: Quality factors affecting iris segmentation and matching. In: 2013 International Conference on Biometrics (ICB), pp. 1–6. IEEE (2013)
4. Arsalan, M., et al.: Deep learning-based iris segmentation for iris recognition in visible light environment. Symmetry 9(11), 263 (2017)
5. Arsalan, M., Naqvi, R.A., Kim, D.S., Nguyen, P.H., Owais, M., Park, K.R.: IrisDenseNet: robust iris segmentation using densely connected fully convolutional networks in the images by visible light and near-infrared light camera sensors. Sensors 18(5), 1501 (2018)
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