Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/95638
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Biomedical Engineering | en_US |
dc.contributor | Mainland Development Office | en_US |
dc.contributor | Department of Biomedical Engineering | - |
dc.contributor | Mainland Development Office | - |
dc.contributor | Photonics Research Institute | - |
dc.creator | Zhao, Q | en_US |
dc.creator | Li, H | en_US |
dc.creator | Yu, Z | en_US |
dc.creator | Woo, CM | en_US |
dc.creator | Zhong, T | en_US |
dc.creator | Cheng, S | en_US |
dc.creator | Zheng, Y | en_US |
dc.creator | Liu, H | en_US |
dc.creator | Tian, J | en_US |
dc.creator | Lai, P | en_US |
dc.date.accessioned | 2022-09-27T02:46:28Z | - |
dc.date.available | 2022-09-27T02:46:28Z | - |
dc.identifier.issn | 2198-3844 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/95638 | - |
dc.language.iso | en | en_US |
dc.publisher | Wiley-VCH | en_US |
dc.rights | © 2022 The Authors. Advanced Science published by Wiley-VCH GmbH. | en_US |
dc.rights | This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | en_US |
dc.rights | The following publication Zhao, Q., Li, H., Yu, Z., Woo, C. M., Zhong, T., Cheng, S., Zheng, Y., Liu, H., Tian, J., Lai, P., Speckle-Based Optical Cryptosystem and its Application for Human Face Recognition via Deep Learning. Adv. Sci. 2022, 9, 2202407 is available at https://doi.org/10.1002/advs.202202407 | en_US |
dc.subject | Deep learning | en_US |
dc.subject | Face recognition | en_US |
dc.subject | Optical encryption | en_US |
dc.subject | Speckle | en_US |
dc.title | Speckle-based optical cryptosystem and its application for human face recognition via deep learning | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 9 | en_US |
dc.identifier.issue | 25 | en_US |
dc.identifier.doi | 10.1002/advs.202202407 | en_US |
dcterms.abstract | Face recognition has become ubiquitous for authentication or security purposes. Meanwhile, there are increasing concerns about the privacy of face images, which are sensitive biometric data and should be protected. Software-based cryptosystems are widely adopted to encrypt face images, but the security level is limited by insufficient digital secret key length or computing power. Hardware-based optical cryptosystems can generate enormously longer secret keys and enable encryption at light speed, but most reported optical methods, such as double random phase encryption, are less compatible with other systems due to system complexity. In this study, a plain yet highly efficient speckle-based optical cryptosystem is proposed and implemented. A scattering ground glass is exploited to generate physical secret keys of 17.2 gigabit length and encrypt face images via seemingly random optical speckles at light speed. Face images can then be decrypted from random speckles by a well-trained decryption neural network, such that face recognition can be realized with up to 98% accuracy. Furthermore, attack analyses are carried out to show the cryptosystem's security. Due to its high security, fast speed, and low cost, the speckle-based optical cryptosystem is suitable for practical applications and can inspire other high-security cryptosystems. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Advanced science, 5 Sept. 2022, v. 9, no. 25, 2202407 | en_US |
dcterms.isPartOf | Advanced science | en_US |
dcterms.issued | 2022-09-05 | - |
dc.identifier.scopus | 2-s2.0-85132552516 | - |
dc.identifier.pmid | 35748190 | - |
dc.identifier.ros | 2021003591 | - |
dc.identifier.artn | 2202407 | en_US |
dc.description.validate | 202209 bchy | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | CDCF_2021-2022, a1723 | en_US |
dc.identifier.SubFormID | 45839 | en_US |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; Guangdong Science and Technology Commission; Hong Kong Innovation and Technology Commission; Shenzhen Science and Technology Innovation Commission | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 69038089 | - |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Zhao_Speckle-Based_Optical_Cryptosystem.pdf | 3.41 MB | Adobe PDF | View/Open |
Page views
70
Last Week
1
1
Last month
Citations as of Oct 13, 2024
Downloads
243
Citations as of Oct 13, 2024
SCOPUSTM
Citations
16
Citations as of Oct 17, 2024
WEB OF SCIENCETM
Citations
14
Citations as of Oct 17, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.