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).
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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.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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). 80 pp. Englisch. Bestandsnummer des Verkäufers 9786202514224
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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). Bestandsnummer des Verkäufers 9786202514224
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: S SivaganesanReceived 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 Karpaga. Bestandsnummer des Verkäufers 385945227
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. Bestandsnummer des Verkäufers 9786202514224
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Taschenbuch. Zustand: Neu. Enhanced Image Security Using Fingerprint Based Watermarking System | DWT and LSB Algorithm | Sivaganesan S | Taschenbuch | 80 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202514224 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 118209860
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