Iris Image Compression Using Deep Convolutional Neural Networks

Compression is a way of encoding digital data so that it takes up less storage and requires less network bandwidth to be transmitted, which is currently an imperative need for iris recognition systems due to the large amounts of data involved, while deep neural networks trained as image auto-encoder...

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Detalles Bibliográficos
Autores principales: Jalilian, Ehsaneddin, Hofbauer, Heinz, Uhl, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002923/
https://www.ncbi.nlm.nih.gov/pubmed/35408311
http://dx.doi.org/10.3390/s22072698

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002923/
https://www.ncbi.nlm.nih.gov/pubmed/35408311
http://dx.doi.org/10.3390/s22072698

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