Digital images authentication scheme based on bimodal biometric watermarking in an independent domain

Wójtowicz, Wioletta; Ogiela, Marek R.

doi:10.1016/j.jvcir.2016.02.006

Cited by 39 publications

(21 citation statements)

References 21 publications

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“…The issue of transmitting repetitive information [7] over an uncertain, transfer speed compelled correspondences channel is talked about. A substance proprietor encodes the primary uncompressed picture utilizing a cryptographic key [26]. Using data concealing key the recipient can isolate additional data even the beneficiary has no information about the principal picture content [32].…”

Section: Literature Reviewmentioning

confidence: 99%

“…A large portion of the proposed information hiding plans is not reversible. Reversible information covering up should be possible from multiple points of view like, Integer-toInteger Wavelet Transform, Difference extension, and Histogram change [26]. The principle objective of this work is to execute a Histogram moving (HS) based Reversible Data Hiding (RDH) strategy that can furnish a high inserting limit with least deformation [22,36].…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

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Data Hiding and Watermarking Techniques: A Survey

Chaturvedi¹,

Shukla²

2018

IJCA

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Internet is used as a leading object for simple and effective communication because of advancements technology and science. Several users access the internet and maintain their information by the help of various medium in secure and effective way. Security of information is provided by digital water marking and cryptographic techniques for patent defences, fiddle recognition and content authentication of digital information. In this paper, a widespread survey of several techniques for data hiding are explained briefly which deals with secure and private multimedia information and its accuracy. In the information hiding procedure, cryptography and steganography have assumed a noteworthy part in digital media. Information encryption keys shared by image supplier and beneficiary for image encoding and decoding. In the meantime information covering up keys additionally used to install and remove the implanted information from advanced image and obtained the cover pictures. At the extraction side if both secret key and hided information is available than unique information can be recuperated effectively. On the off chance that the beneficiary has keys for both the encryption and information hiding than it can remove the extra information and recuperate the original image.

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Section: Literature Reviewmentioning

confidence: 99%

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

Data Hiding and Watermarking Techniques: A Survey

Chaturvedi¹,

Shukla²

2018

IJCA

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“…Geometric operations such as cropping, removal, rotation, scaling or affine transformation are the principal reasons of this dessynchronization. In the literature, several works are related to robust image watermarking with geometric invariance feature [3][4][5][6][7]. These plans show robustness against rotation and scaling geometric distortions as well as against signal processing operations such as filtering, JPEG compression and among others; because these methods embed the watermark into invariant geometric domains, however, may be typically weak to cropping and removal attacks, affine transformations, and other aggressive distortions.…”

Section: Introductionmentioning

confidence: 99%

“…These plans show robustness against rotation and scaling geometric distortions as well as against signal processing operations such as filtering, JPEG compression and among others; because these methods embed the watermark into invariant geometric domains, however, may be typically weak to cropping and removal attacks, affine transformations, and other aggressive distortions. Additionally, while several watermarking algorithms have been proposed to watermark gray-scale images [3][4][5][6][7], until nowadays only a few have been designed specifically for color images [8]. The use of color information has become an essential property to steganography and watermarking of image and video [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Digital Color Images Ownership Authentication via Efficient and Robust Watermarking in a Hybrid Domain

Nakano-Miyatake¹,

García-Ugalde²,

Cedillo-Hernandez³

et al. 2017

RADIOENGINEERING

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“…Digital watermarking in general is a special case of the general information-hiding problem (Wójtowicz and Ogiela 2016). A digital watermark is a signal that is temporarily or permanently embedded into digital data (audio, images, videos and text), which can be detected or extracted later by means of a computing operation, to make an assertion about the ownership of the data.…”

Section: Introductionmentioning

confidence: 99%

An intermediate significant bit (ISB) watermarking technique using neural networks

2016

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Prior research studies have shown that the peak signal to noise ratio (PSNR) is the most frequent watermarked image quality metric that is used for determining the levels of strength and weakness of watermarking algorithms. Conversely, normalised cross correlation (NCC) is the most common metric used after attacks were applied to a watermarked image to verify the strength of the algorithm used. Many researchers have used these approaches to evaluate their algorithms. These strategies have been used for a long time, however, which unfortunately limits the value of PSNR and NCC in reflecting the strength and weakness of the watermarking algorithms. This paper considers this issue to determine the threshold values of these two parameters in reflecting the amount of strength and weakness of the watermarking algorithms. We used our novel watermarking technique for embedding four watermarks in intermediate significant bits (ISB) of six image files one-by-one through replacing the image pixels with new pixels and, at the same time, keeping the new pixels very close to the original pixels. This approach gains an improved robustness based on the PSNR and NCC values that were gathered. A neural network model was built that uses the image quality metrics (PSNR and NCC) values obtained from the watermarking of six grey-scale images that use ISB as the desired output and that are trained for each watermarked image’s PSNR and NCC. The neural network predicts the watermarked image’s PSNR together with NCC after the attacks when a portion of the output of the same or different types of image quality metrics (PSNR and NCC) are obtained. The results indicate that the NCC metric fluctuates before the PSNR values deteriorate.

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Digital images authentication scheme based on bimodal biometric watermarking in an independent domain

Cited by 39 publications

References 21 publications

Data Hiding and Watermarking Techniques: A Survey

Data Hiding and Watermarking Techniques: A Survey

Digital Color Images Ownership Authentication via Efficient and Robust Watermarking in a Hybrid Domain

An intermediate significant bit (ISB) watermarking technique using neural networks

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