國立虎尾科技大學 |

Multibiometric Watermarking with Compressive Sensing Theory = Techniques and Applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multibiometric Watermarking with Compressive Sensing Theory/ by Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar.
Reminder of title:	Techniques and Applications /
Author:	Thanki, Rohit M.
other author:	Dwivedi, Vedvyas J.
Description:	XXI, 172 p. 104 illus., 48 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Signal processing. -
Online resource:	https://doi.org/10.1007/978-3-319-73183-4
ISBN:	9783319731834

Multibiometric Watermarking with Compressive Sensing Theory = Techniques and Applications /
Thanki, Rohit M.

Multibiometric Watermarking with Compressive Sensing TheoryTechniques and Applications /[electronic resource] :by Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar. - 1st ed. 2018. - XXI, 172 p. 104 illus., 48 illus. in color.online resource. - Signals and Communication Technology,1860-4862. - Signals and Communication Technology,.

Chapter 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.

This 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.

ISBN: 9783319731834

Standard No.: 10.1007/978-3-319-73183-4doiSubjects--Topical Terms:

561459
Signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Multibiometric Watermarking with Compressive Sensing Theory = Techniques and Applications /
LDR:03099nam a22004335i 4500 001 997380
003 DE-He213
005 20200702005832.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319731834 $9 978-3-319-73183-4
024 7 $a 10.1007/978-3-319-73183-4 $2 doi
035 $a 978-3-319-73183-4
050 4 $a TK5102.9
050 4 $a TA1637-1638
072 7 $a TTBM $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a TTBM $2 thema
072 7 $a UYS $2 thema
082 0 4 $a 621.382 $2 23
100 1 $a Thanki, Rohit M. $e author. $0 (orcid)0000-0002-0645-6266 $1 https://orcid.org/0000-0002-0645-6266 $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1288748
245 1 0 $a Multibiometric Watermarking with Compressive Sensing Theory $h [electronic resource] : $b Techniques and Applications / $c by Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XXI, 172 p. 104 illus., 48 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Signals and Communication Technology, $x 1860-4862
505 0 $a Chapter 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 $a This 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.
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 0 $a Computational linguistics. $3 555811
650 0 $a Natural language processing (Computer science). $3 802180
650 0 $a Database management. $3 557799
650 1 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Computational Linguistics. $3 670080
650 2 4 $a Natural Language Processing (NLP). $3 1254293
650 2 4 $a Database Management. $3 669820
700 1 $a Dwivedi, Vedvyas J. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1288749
700 1 $a Borisagar, Komal R. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1288750
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319731827
776 0 8 $i Printed edition: $z 9783319731841
776 0 8 $i Printed edition: $z 9783319892399
830 0 $a Signals and Communication Technology, $x 1860-4862 $3 1254245
856 4 0 $u https://doi.org/10.1007/978-3-319-73183-4
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)