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Security of Finger Prints with Video Watermarking Techniques Based On DWT and SVD
Author(s) -
Naluguru Udaya Kumar,
G. Sandhya,
Srinivas Bangalore
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1084/1/012007
Subject(s) - digital watermarking , watermark , computer science , discrete wavelet transform , singular value decomposition , wavelet , computer vision , artificial intelligence , transformation (genetics) , image (mathematics) , face (sociological concept) , computer security , wavelet transform , social science , biochemistry , chemistry , sociology , gene
Content producers and service providers face highly important challenges in securing digital video content. As watermarking is an important copyright protection technology, this literature includes several methods of combining data into a multimedia component. Due to its increasing application, in recent watermark schemes, the Discrete Wavelet Transformation (DWT) is used. In this text we suggest a DWT and the SVDbased hybrid system. After the image is separated into four strips, we add SVD to each strip and adjust the specific values into the same detail. Modification at all frequencies allows a framework to be established that is consistent with a broad range of threats.

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