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010   $a3-319-73183-1
024 7 $a10.1007/978-3-319-73183-4
035   $a(CKB)3790000000544694
035   $a(DE-He213)978-3-319-73183-4
035   $a(MiAaPQ)EBC5214982
035   $a(PPN)223955825
035   $a(EXLCZ)993790000000544694
100   $a20180103d2018      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMultibiometric Watermarking with Compressive Sensing Theory $eTechniques and Applications /$fby Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (XXI, 172 p. 104 illus., 48 illus. in color.) 
225 1 $aSignals and Communication Technology,$x1860-4862
311   $a3-319-73182-3 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aChapter 1. Introduction -- Chapter 2.Related Works and Background Information -- Chapter 3.Issues in Biometric System and Proposed Research Methodology -- Chapter 4.Multibiometric Watermarking Technique using Discrete Wavelet Trans-form (DWT) -- Chapter 5. Multibiometric Watermarking Technique using Discrete Cosine Trans-form (DCT) and Discrete Wavelet Transform (DWT) -- Chapter 6.Multibiometric Watermarking Technique using Discrete Wavelet Trans-form (DWT) and Singular Value Decomposition (SVD) -- Chapter 7.Multibiometric Watermarking Technique using Fast Discrete Curvelet Transform (FDCuT) and Discrete Cosine Transform (DCT) -- Chapter 8.Conclusions and Future Work.
330   $aThis book presents multibiometric watermarking techniques for security of biometric data. This book also covers transform domain multibiometric watermarking techniques and their advantages and limitations. The authors have developed novel watermarking techniques with a combination of Compressive Sensing (CS) theory for the security of biometric data at the system database of the biometric system. The authors show how these techniques offer higher robustness, authenticity, better imperceptibility, increased payload capacity, and secure biometric watermarks. They show how to use the CS theory for the security of biometric watermarks before embedding into the host biometric data. The suggested methods may find potential applications in the security of biometric data at various banking applications, access control of laboratories, nuclear power stations, military base, and airports.
410  0$aSignals and Communication Technology,$x1860-4862
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aComputational linguistics
606   $aNatural language processing (Computer science)
606   $aDatabase management
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aComputational Linguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N22000
606   $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040
606   $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aComputational linguistics.
615  0$aNatural language processing (Computer science).
615  0$aDatabase management.
615 14$aSignal, Image and Speech Processing.
615 24$aComputational Linguistics.
615 24$aNatural Language Processing (NLP).
615 24$aDatabase Management.
676   $a006.4
700   $aThanki$b Rohit M$4aut$4http://id.loc.gov/vocabulary/relators/aut$0864695
702   $aDwivedi$b Vedvyas J$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aBorisagar$b Komal R$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299564203321
996   $aMultibiometric Watermarking with Compressive Sensing Theory$92524116
997   $aUNINA