000			03384nam a22004215i 4500
999			_c102971 _d102971
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007			cr nn 008mamaa
008			180103s2018 gw | s |||| 0|eng d
020			_a9783319731834
024	7		_a10.1007/978-3-319-73183-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7882.B56 2018 EB
100	1		_aThanki, Rohit M _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9670706
245	1	0	_aMultibiometric Watermarking with Compressive Sensing Theory _bTechniques and Applications _cby Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XXI, 172 páginas 104 ilustraciones, 48 ilustraciones a color)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aSignals and Communication Technology _x1860-4862
490	0		_aEngineering (Springer-11647)
505	0		_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.
520	3		_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.
988			_aEBSPRINGER_2018
650		7	_aIdentificación biométrica _2embne _9687509
700	1		_aDwivedi, Vedvyas J _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aBorisagar, Komal R _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iEdición impresa: _z9783319731827
776	0	8	_iEdición impresa: _z9783319731841
776	0	8	_iEdición impresa: _z9783319892399
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-73183-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2019 _dz _ef _feng _ggw _h0