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Iris super‐resolution using CNNs: is photo‐realism important to iris recognition?

  • Published:2018-08-24 Issue:1 Volume:8 Page:69-78
  • ISSN:2047-4938
  • Container-title:IET Biometrics
  • language:en
  • Short-container-title:IET biom.

Author:

Ribeiro Eduardo12ORCID,Uhl Andreas1,Alonso‐Fernandez Fernando3

Affiliation:

1. Department of Computer SciencesUniversity of SalzburgJakob Haringer Strasse 2 5020SalzburgAustria

2. Department of Computer SciencesFederal University of Tocantins109 Norte, Av. NS 15, ALC NO 14PalmasBrazil

3. IS‐Lab/CAISRHalmstad UniversityBox 823, Halmstad SE 301‐18Sweden

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Seven decades of image super-resolution: achievements, challenges, and opportunities;EURASIP Journal on Advances in Signal Processing;2024-07-18

2. Deep Learning for Iris Recognition: A Survey;ACM Computing Surveys;2024-04-24

3. A Review of Single Image Super Resolution Techniques using Convolutional Neural Networks;Multimedia Tools and Applications;2023-09-13

4. Generative Iris Prior Embedded Transformer for Iris Restoration;2023 IEEE International Conference on Multimedia and Expo (ICME);2023-07

5. Efficient, accurate and fast pupil segmentation for pupillary boundary in iris recognition;Advances in Engineering Software;2023-01
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