Biometric Authentication Using Spread Spectrum Audio Watermarking

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Details

Watermarking has become important in the last decade because of the copyright protection applications. This book presents a biometric authentication scheme based on spread spectrum watermarking technique. We add a biometric authentication system to the Sipdroid open source VoIP program. Firstly, senders must register to the system with their unique biometric features. T.C Identity number, keystroke dynamics and voice are used as biometric features. After registration, these biometric features are used as watermarked material. Before embedding, the watermark is spread with the Direct Sequence Spread Spectrum (DSSS) technique. While talking, this watermark material is embedded to speech and sent to receiver using Frequency Hopping Spread Spectrum(FHSS) technique. The watermarked biometric data is constructed in the receiver's phone after conversation is finished. The experimental results demonstrate that the emembedding technique is not only less audible but also more robust against the common signal processing attacks. In order for receiver to be able to login to the system, biometric features of the user should match with the watermarked biometric data.

Autorentext

Yekta Said Can studied Computer Engineering in Faculty of Engineering, Böaziçi University,Istanbul,Turkey where he obtained his B.Sc Degree in 2012 and MSc. Degree in 2014. He is pursuing a PhD degree right now in the same department.He worked as software engineer in TUBITAK for two years He is working as research assistant in the same department.

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Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Herausgeber LAP LAMBERT Academic Publishing
    • Gewicht 137g
    • Autor Yekta Said Can
    • Titel Biometric Authentication Using Spread Spectrum Audio Watermarking
    • Veröffentlichung 06.01.2015
    • ISBN 3659671703
    • Format Kartonierter Einband
    • EAN 9783659671708
    • Jahr 2015
    • Größe H220mm x B150mm x T5mm
    • Anzahl Seiten 80
    • GTIN 09783659671708

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