Segmentation-based ID preserving iris synthesis using generative adversarial networks
Segmentation-based ID preserving iris synthesis using generative adversarial networks
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
This study proposes a method for generating ID preserving synthetic iris database. The proposed method can be applied in the generation of a synthetic iris database for various iris recognition tasks. This work successfully combines the main idea of generative adversarial learning, segmentation, and identification to solve real-world problems. The...
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Full title
Segmentation-based ID preserving iris synthesis using generative adversarial networks
Authors, Artists and Contributors
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TN_cdi_proquest_journals_2933269802
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2933269802
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ISSN
1573-7721,1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-023-16508-1
