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Semi-fragile self-recoverable watermarking scheme for face image protection

机译:用于人脸图像保护的半脆弱自恢复水印方案

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摘要

Digital watermarking based biometric images protecting has been an active research focus. In this paper, we propose a face image protection scheme based on semi-fragile self recoverable watermarking. Authentication watermark is generated from the singular value decomposition (SVD) coefficients for each image block, and information watermark is generated from the principal component analysis (PCA) coefficients. Both of them are embedded into wavelet medium frequency coefficients by using the proposed group-based wavelet quantization method. On the authentication side, after identifying the tampered regions, the proposed method can recover the tampered face images by using the hidden information watermark. Experimental results demonstrate that the proposed watermark scheme has high localization accuracy and robustness comparing with the existing techniques, and the recovered PCA coefficients can be used to reconstruct the Eigen-face image or be directly used for recognition system. (C) 2016 Elsevier Ltd. All rights reserved.
机译:基于数字水印的生物特征图像保护一直是活跃的研究重点。本文提出了一种基于半脆弱自恢复水印的人脸图像保护方案。从每个图像块的奇异值分解(SVD)系数生成认证水印,从主成分分析(PCA)系数生成信息水印。通过使用基于组的小波量化方法,将两者都嵌入到小波中频系数中。在认证方面,该方法在识别出被篡改区域之后,可以通过使用隐藏信息水印来恢复被篡改的面部图像。实验结果表明,与现有技术相比,提出的水印方案具有较高的定位精度和鲁棒性,恢复的PCA系数可用于重建特征脸图像或直接用于识别系统。 (C)2016 Elsevier Ltd.保留所有权利。

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