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A new digital steganography system based on hiding online signature within document image data in YUV color space

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Abstract

Due to the progression in computer technology and fast growth of interchange of data, Steganographyis becoming the best solution for providing greater security for sensitive document images which are uncontrolled across the internet. In this paper, we introduce a new signature steganography system for color document images in YUV color space based on the stego key and the Beta elliptic modeling. Firstly, the cover color document image is transformed into YUV from RGB space. Afterward, the embedding positions are identified based on the potential feature by using the Binary Robust Invariant Scalable Keypoints (BRISK) detector. In the next step, we decide the channel in which a Beta elliptic signature bits will be hidden on the basis of bitxor operation of Y channel’s LSB and the bits of stego key. Finally, the proposed system hides the Beta elliptic signature bits adaptively in U or V channel. It could be perceived from the results of experimentation that by the use of the proposed system, the embedded data is detectable even in the existence of common image processing distortion, as well the proposed steganography system in spatial domain has demonstrated to be robust and outperform the related works in term of the measurements image quality.

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Acknowledgments

The research leading to these results has received funding from the Ministry of Higher Education and Scientific Research of Tunisia under the grant agreement number LR11ES48.

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Authors and Affiliations

  1. National Engineering School of Sfax (ENIS), REGIM-Lab.: REsearch Groups in Intelligent Machines, University of Sfax, BP 1173, Sfax, 3038, Tunisia

    Anissa Zenati, Wael Ouarda & Adel M. Alimi

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  1. Anissa Zenati
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  2. Wael Ouarda
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  3. Adel M. Alimi
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Correspondence to Anissa Zenati.

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Zenati, A., Ouarda, W. & Alimi, A.M. A new digital steganography system based on hiding online signature within document image data in YUV color space. Multimed Tools Appl 80, 18653–18676 (2021). https://doi.org/10.1007/s11042-020-10376-9

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