Biometric based audio ownership verification using discrete wavelet transform and SVD techniques

Yaman, Musa Al; Al-Taee, Majid A.; Shahrour, Anas; Al-husseini, Ismail

doi:10.1109/ssd.2011.5993562

Cited by 11 publications

(3 citation statements)

References 8 publications

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“…The author claims the desirable results by applying this algorithm to test it for various types of music and they produced a results with respect to both robustness and imperceptibility. In [27] authors enhanced the algorithm proposed by [26], they embedded thumbprint image as a watermark image for ownership. Moreover, they used crypto-graphic hash function to generate the summery of thumbprint from image and then they used it to embed as a watermark instead of the image by using this approach they reduced the bits of watermark and original audio signal is maximized by this method.…”

Section: Literature Reviewmentioning

confidence: 99%

Robust and Secured Digital Audio Watermarking using Improved DWT-SVD-DFT Approach

Patel¹,

Shah²,

Shah³

2018

IJET

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Today, the use of digital data like image, audio and video is tremendously increasing due to the advancement in technology and internet revolution. With this advancement to attain the one’s ownership and copyrights for this digital data is the biggest challenge. Digital watermarking is one of the technique to attain one’s ownership and copyrights with securely. It is the technique in which the owner’s copyright information can be embedded into the original media either in the form of an image, audio, text or video. There are two main factors we need to observe for this digital audio watermarking to maintain the robustness as well as imperceptibility against the piracy, malicious attacks, and various transformation operations. Though there are many challenges to achieve this results, in this paper, our proposed audio watermarking technique is used to improve the robustness, imperceptibility of the embedded information with security. For Security, in our proposed work we are using synchronized secret key concept with DSSS encryption algorithm and two important powerful transformation methods used that are DWT (Discreet Wavelet Transformation) up to 4-level to get lowest frequency sub-band and after that DFT is applied to get lowest frequency from sub-band found by DWT in which the modifications are done and then SVD (Singular value Decomposition)is applied to it, so that original audio file does not have any impact of watermark bits to get the better robustness and imperceptibility.

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Section: Literature Reviewmentioning

confidence: 99%

Robust and Secured Digital Audio Watermarking using Improved DWT-SVD-DFT Approach

Patel¹,

Shah²,

Shah³

2018

IJET

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“…They embedded their watermark bits in the generated DWT coefficients. Authors in [41] enhanced the digital audio watermarking algorithm proposed by [39] through embedding the owner's thumbprint as a watermark image in order to prove the ownership. Moreover, they minimized the period of the original audio signal by reducing the number of watermark bits through using cryptographic hash function which mainly generates and embeds the digest of the thumbprint watermark instead of its image.…”

Section: Previous Workmentioning

confidence: 99%

“…Moreover, they minimized the period of the original audio signal by reducing the number of watermark bits through using cryptographic hash function which mainly generates and embeds the digest of the thumbprint watermark instead of its image. In [42], the authors ameliorated the audio watermarking algorithms proposed by [39]- [41] through incorporating a new audio signal framing (i.e., taking one frame and skipping the other 29 frames). Moreover, they proposed a new DWT matrix formation to reduce the D components which are repeated several times in the matrix formation produced in [39]- [41].…”

Section: Previous Workmentioning

confidence: 99%

Imperceptible and Robust DWT-SVD-Based Digital Audio Watermarking Algorithm

Darabkh

2014

JSEA

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How to cite this paper: Darabkh, K.A. (2014) Imperceptible and Robust DWT-SVD-Based Digital Audio Watermarking Algorithm. Journal of Software Engineering and Applications, 7, 859-871. http://dx. AbstractDigital representation of multimedia is more advantageous than the analog one due to potentially improving the portability, efficiency, and accuracy of the information presented. Despite the challenge of having high hiding capacity like other media watermarking, still audios are likely candidates for data hiding due to their possible capabilities of achieving impressive robustness and protection against online music piracy and content identification. In this paper, we propose efficient audio watermarking embedding and extracting techniques, which mainly use Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD), in which a new matrix formation of details sub-bands is proposed. Additionally, massive experimental work was conducted to investigate the contributions of operating different watermark intensities and multiple levels of DWT to our proposed techniques. Two performance objectives are employed in this work which involve imperceptibility and robustness. To further boost the imperceptibility, we incorporate the code assignment method to our techniques that do outperform what are closely connected in the literature.

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High payload multi-channel dual audio watermarking algorithm based on discrete wavelet transform and singular value decomposition

Elshazly

Nasr

Fouad

et al. 2017

Int J Speech Technol

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Biometric based audio ownership verification using discrete wavelet transform and SVD techniques

Cited by 11 publications

References 8 publications

Robust and Secured Digital Audio Watermarking using Improved DWT-SVD-DFT Approach

Robust and Secured Digital Audio Watermarking using Improved DWT-SVD-DFT Approach

Imperceptible and Robust DWT-SVD-Based Digital Audio Watermarking Algorithm

High payload multi-channel dual audio watermarking algorithm based on discrete wavelet transform and singular value decomposition

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