Enhanced Image Security Using Fingerprint Based Watermarking System

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Details

In multimedia technologies has simplified the ways for the transmission, reproduction and manipulation of data. The digital content can be protected against counterfeiting, piracy and any unauthorized access by digital watermarking. Digital watermarking is an essential technique to add copyright notice, secret messages or verification messages to digital image signals, audio, video which is used for identifying the original creator of digital content. The image watermarking algorithm is developed where fingerprint biometric identification image is inserted to it. Discrete wavelet transform technique is used for embedding and extraction of watermark in original image by using LSB which as fingerprint biometric image as watermark. Among all the biometric identities, the fingerprint is most reliable identification system. The fingerprint trait is chosen because of its higher accuracy and reliability. The results show that the DWT technique is robust against various common image processing operations. Performance of method for different value of scaling factor is analyzed by using statistical parameters such as peak signal-to-noise-ratio (PSNR) and mean square error (MSE).

Autorentext

Received B.E Degree in Electronics and Communication Engineering from VSB Engineering College and M.E Degree in VLSI Design from Karpagam College of Engineering. Presently working as Assistant Professor of ECE in Karpagam Academy of Higher Education,Coimbatore. Published more number of journals in International Level, Published two books in VLSI.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786202514224
    • Genre Elektrotechnik
    • Sprache Englisch
    • Anzahl Seiten 80
    • Größe H220mm x B150mm x T5mm
    • Jahr 2020
    • EAN 9786202514224
    • Format Kartonierter Einband
    • ISBN 6202514221
    • Veröffentlichung 19.03.2020
    • Titel Enhanced Image Security Using Fingerprint Based Watermarking System
    • Autor Sivaganesan S
    • Untertitel DWT and LSB Algorithm
    • Gewicht 137g
    • Herausgeber LAP LAMBERT Academic Publishing

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