Visible Wavelength Iris Segmentation: A Multi-Class Approach using Fully Convolutional Neuronal Networks

Dailé Osorio Roig, Christian Rathgeb, Marta Gomez-Barrero, Annette Morales-González, Eduardo Garea Llano, Christoph Busch. Visible Wavelength Iris Segmentation: A Multi-Class Approach using Fully Convolutional Neuronal Networks. In Arslan Brömme, Christoph Busch, Antitza Dantcheva, Christian Rathgeb, Andreas Uhl, editors, 2018 International Conference of the Biometrics Special Interest Group, BIOSIG 2018, Darmstadt, Germany, September 26-28, 2018. pages 1-5, IEEE, 2018. [doi]

@inproceedings{Osorio-RoigRGML18,
  title = {Visible Wavelength Iris Segmentation: A Multi-Class Approach using Fully Convolutional Neuronal Networks},
  author = {Dailé Osorio Roig and Christian Rathgeb and Marta Gomez-Barrero and Annette Morales-González and Eduardo Garea Llano and Christoph Busch},
  year = {2018},
  doi = {10.23919/BIOSIG.2018.8553162},
  url = {https://doi.org/10.23919/BIOSIG.2018.8553162},
  researchr = {https://researchr.org/publication/Osorio-RoigRGML18},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {2018 International Conference of the Biometrics Special Interest Group, BIOSIG 2018, Darmstadt, Germany, September 26-28, 2018},
  editor = {Arslan Brömme and Christoph Busch and Antitza Dantcheva and Christian Rathgeb and Andreas Uhl},
  publisher = {IEEE},
  isbn = {978-3-88579-676-3},
}