Abstract
Digital image has been widely used in people’s daily life, and image authentication technology is more and more important. This paper proposes an image authentication method based on convolutional neural nets, which performed better compared with the VGG and Alex-Net. A single target region detection method under the attention model is proposed and it helps a lot in distinguish the source images and the derived images with watermarks or mosaic.
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Acknowledgement
This research has been supported by NSFC (61672495), Scientific Research Fund of Hunan Provincial Education Department (16A208), Project of Hunan Provincial Science and Technology Department (2017SK2405), and in part by the construct program of the key discipline in Hunan Province.
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Tang, H., Fu, Z., Ouyang, J., Song, Y. (2019). Image Authentication by Single Target Region Detection. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11632. Springer, Cham. https://doi.org/10.1007/978-3-030-24274-9_46
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DOI: https://doi.org/10.1007/978-3-030-24274-9_46
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