An end to end Deep Neural Network for iris segmentation in unconstrained scenarios

Shabab Bazrafkan, Shejin Thavalengal, Peter Corcoran

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DOI: 10.1016/j.neunet.2018.06.011
Published: 2018-10
Container: Neural Networks
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2018.06.011,
  title = {An end to end Deep Neural Network for iris segmentation in unconstrained scenarios},
  author = {Shabab Bazrafkan and Shejin Thavalengal and Peter Corcoran},
  year = {2018},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2018.06.011},
  url = {https://doi.org/10.1016/j.neunet.2018.06.011}
}

RIS

TY  - JOUR
TI  - An end to end Deep Neural Network for iris segmentation in unconstrained scenarios
AU  - Shabab Bazrafkan
AU  - Shejin Thavalengal
AU  - Peter Corcoran
PY  - 2018
JO  - Neural Networks
DO  - 10.1016/j.neunet.2018.06.011
UR  - https://doi.org/10.1016/j.neunet.2018.06.011
ER  -

APA

Bazrafkan, S., Thavalengal, S., & Corcoran, P. (2018). An end to end Deep Neural Network for iris segmentation in unconstrained scenarios. Neural Networks. https://doi.org/10.1016/j.neunet.2018.06.011

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crossref · retrieved 2026-09-27T11:57:52.327Z