Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16732
Title: Hologram Authentication and Classification Via a Convolutional Neural Network
Authors: Ganiga, Prakruthi
Priyadarshini
Dodda, Vineela Chandra
Kumar, Ravi
Muniraj, Inbarasan
Keywords: Authentication
Authentication Protocol
Electron Holography
Holograms
Lithography
Authentication Scheme
Issue Date: 2024
Publisher: Imaging Systems and Applications, ISA 2024 in Proceedings Optica Imaging Congress 2024, 3D, AOMS, COSI, ISA, pcAOP - Part of Optica Imaging Congress
Optical Society of America
Abstract: Authentication techniques can be used to overcome the hologram counterfeiting problems. Here, we demonstrate an authentication scheme for digital holograms in a raw-complex form that is stored either in the cloud or on the metasurface using a CNN. © 2024 The Author(s).
URI: https://opg.optica.org/abstract.cfm?URI=ISA-2024-ITu3G.4
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16732
ISBN: 9781957171371
Appears in Collections:Conference Papers

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