Multibiometric Watermarking with Compressive Sensing Theory: Signals and Communication Technology
Autor Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagaren Limba Engleză Hardback – 29 ian 2018
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Specificații
ISBN-13: 9783319731827
ISBN-10: 3319731823
Pagini: 196
Ilustrații: XXI, 172 p. 104 illus., 48 illus. in color.
Dimensiuni: 160 x 241 x 17 mm
Greutate: 0.41 kg
Ediția:1st edition 2018
Editura: Springer
Colecția Signals and Communication Technology
Seria Signals and Communication Technology
Locul publicării:Cham, Switzerland
ISBN-10: 3319731823
Pagini: 196
Ilustrații: XXI, 172 p. 104 illus., 48 illus. in color.
Dimensiuni: 160 x 241 x 17 mm
Greutate: 0.41 kg
Ediția:1st edition 2018
Editura: Springer
Colecția Signals and Communication Technology
Seria Signals and Communication Technology
Locul publicării:Cham, Switzerland
Cuprins
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.
Notă biografică
Dr. Bhavin S. Sedani is working as a professor in Electronics and Communication Department at L.D. College of Engineering, Ahmedabad, India. He has teaching experience of 16 years. He has presented more than 46 research papers in various international and national conferences. His 21 research papers are published in various international journals and IEEE Xplore. He has achieved best paper presentation awards 7 times for his research articles. He is awarded pedagogical award for continuing efforts towards teaching-learning methodology, research and innovation in 2017 by Gujarat Technological University, Young Researcher Award in 2018 by Integrated Intelligent Research, ISTE Professional Center, Anna University Campus, Chennai - India. He has filled Indian patent with titled "Brain Machine Technology based Wireless Blazing of Traditional Indian Wick Lamp". His area of research is in wireless communication and speech processing. Dr. Komal R. Borisagar has obtained her Ph.D. in Speech Enhancement Techniques for Digital Hearing Aids in 2012. She has teaching experience of over 15 years. She is working as an Associate Professor at Electronics & Communication Department, Atmiya Institute of Technology and Science, Rajkot. She has published 3 books, 3 book chapters and more than 50 research papers to her credit in referred & indexed journals, conferences at international and in IEEE digital library. She has achieved best paper award five times for her research articles and presentation. Her areas of interest are wireless communication, speech processing, signal & system, and image processing. Dr. Rohit M. Thanki received his Ph.D. in electronics and communication engineering from C. U. Shah University, M.E. in communication engineering from G. H. Patel College of Engineering and Technology and B.E. in electronics and communication engineering from Atmiya Institute of Technology and Science, India. He has more than 3 years of experience in academic and research. He has published 9 books with Springer and 1 book with CRC press. He has published 13 book chapters in edited books which are published by Elsevier, Springer, CRC press, and IGI Global. He has also published 19 research articles, out of these, 4 articles in SCI-indexed journal and 18 articles in Scopus indexed journal. He is a reviewer of renowned journals such as IEEE access, IEEE Consumer Electronics Magazine, IET Image Processing, IET Biometrics, Soft Computing, Imaging Science Journal, Signal Processing: Image Communication, and Computers & Electrical Engineering. His current research interests include Image Processing, Multimedia Security, Digital Watermarking, Artificial Intelligence, Medical Image Analysis, Biometrics and Compressive Sensing.
Textul de pe ultima copertă
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.
Caracteristici
Provides a complete review of multibiometric watermarking techniques in spatial, transform, and hybrid domains Presents a secure multibiometric watermarking with Compressive Sensing (CS) theory to prevent stone of biometric data and spoof biometric issues Covers different watermarking techniques using the biometric image for the security of biometric data transmission for banking applications