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Coverless image steganography using morphed face recognition based on convolutional neural network
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Li, Yung-Hui, Chang, Ching-Chun, Su, Guo-Dong, Yang, Kai-Lin, Aslam, Muhammad Saqlain and Liu, Yanjun (2022) Coverless image steganography using morphed face recognition based on convolutional neural network. EURASIP Journal on Wireless Communications and Networking, 2022 (1). p. 28. doi:10.1186/s13638-022-02107-5 ISSN 1687-1499.
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WRAP-Coverless-image-steganography-morphed-face-recognition-convolutional-network-22.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (2309Kb) | Preview |
Official URL: https://doi.org/10.1186/s13638-022-02107-5
Abstract
In recent years, information security has become a prime issue of worldwide concern. To improve the validity and proficiency of the image data hiding approach, a piece of state-of-the-art secret information hiding transmission scheme based on morphed face recognition is proposed. In our proposed data hiding approach, a group of morphed face images is produced from an arranged small-scale face image dataset. Then, a morphed face image which is encoded with a secret message is sent to the receiver. The receiver uses powerful and robust deep learning models to recover the secret message by recognizing the parents of the morphed face images. Furthermore, we design two novel Convolutional Neural Network (CNN) architectures (e.g. MFR-Net V1 and MFR-Net V2) to perform morphed face recognition and achieved the highest accuracy compared with existing networks. Additionally, the experimental results show that the proposed schema has higher retrieval capacity and accuracy and it provides better robustness.
Item Type: | Journal Article | ||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
SWORD Depositor: | Library Publications Router | ||||||
Journal or Publication Title: | EURASIP Journal on Wireless Communications and Networking | ||||||
Publisher: | Springer International Publishing | ||||||
ISSN: | 1687-1499 | ||||||
Official Date: | 29 March 2022 | ||||||
Dates: |
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Volume: | 2022 | ||||||
Number: | 1 | ||||||
Page Range: | p. 28 | ||||||
DOI: | 10.1186/s13638-022-02107-5 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Re-use Statement: | ** From Springer Nature via Jisc Publications Router ** History: received 18-10-2021; accepted 10-03-2022; registration 11-03-2022; pub-electronic 29-03-2022; online 29-03-2022; collection 12-2022. ** Licence for this article: http://creativecommons.org/licenses/by/4.0/ | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 16 November 2022 | ||||||
Date of first compliant Open Access: | 16 November 2022 | ||||||
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