Multimodal Biometrics and Intelligent Image Processing for Security Systems

Multimodal Biometrics and Intelligent Image Processing for Security Systems

Marina L. Gavrilova (University of Calgary, Canada) and Maruf Monwar (Carnegie Mellon University, USA)
Release Date: March, 2013|Copyright: © 2013 |Pages: 232
ISBN13: 9781466636460|ISBN10: 1466636467|EISBN13: 9781466636477|DOI: 10.4018/978-1-4666-3646-0


Although it is a relatively new approach to biometric knowledge representation, multimodal biometric systems have emerged as an innovative alternative that aids in developing a more reliable and efficient security system.

Multimodal Biometrics and Intelligent Image Processing for Security Systems provides an in-depth description of existing and fresh fusion approaches for multimodal biometric systems. Covering relevant topics affecting the security and intelligent industries, this reference will be useful for readers from both academia and industry in the areas of pattern recognition, security, and image processing domains.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Biometric Identifiers
  • Biometric Image Processing
  • Biometric Systems
  • Fuzzy Fusion
  • Intelligent Security Systems
  • Multimodal Biometric System
  • Social Biometric Identifiers

Reviews and Testimonials

This book is the result of comprehensive study done by the authors to understand and demonstrate curious relationships between computational intelligence and biometric security. It is a must have for a researcher looking for the most up to date advancements in these fields.

– Prof. Alexei Sourin, NTU Singapore, Founder and Chair of CyberWorlds Conference Series

Artificial Intelligence techniques have been used more and more in various research areas during these last two decades. The use of these techniques permitted researchers to find smart and useful solutions for a lot of problems, especially in Computer Graphics and Image Processing. Several Artificial Intelligence techniques are nowadays used in these areas, such as neural networks, genetic algorithms, constraint satisfaction techniques, heuristic search, fuzzy logic, and many others. Five years ago, I wrote a book on improvements of Computer Graphics techniques based on the use of various Artificial Intelligence methods, and I am very happy to see that Prof. Marina Gavrilova decided to write this book from the point of view of intelligent Image Processing. For several years, I have known and appreciated Prof. Gavrilova’s research work, and I think that she is the most qualified person for writing such an important and useful book.

– Prof. Dimitri Plemenos, University of Limoges, France, Creator of the 3IA International Annual Conference on Intelligent Computer Graphics

The book is a tremendous achievement and a marvelous manuscript about Biometrics. Not only have the authors explained in a comprehensible way what exactly Biometrics is, but they also have added many invaluable new aspects and tools to it

– Prof. Khalid Saeed, AHG Poland, Author of Biometrics and Kansei Engineering, Springer

Gavrilova (computer science, U. of Calgary, Canada) and Monwar (electrical and computer engineering, Carnegie Mellon U., US) introduce the biometric methodology and general directions of research conducted by members of the Biometric Technologies, Laboratory, established at the University of Calgary in 2001. They also survey applications in security systems. Among their topics are an overview of biometrics and biometrics systems, multi-modal biometric systems and information fusion, Markov chain for multi-modal biometric rank fusion, robotics, chaotic neural networks, and novel applications such as gait analysis and social networks.

– Annotation ©2013 Book News Inc. Portland, OR

Table of Contents and List of Contributors

Search this Book:
Table of Contents
Patrick S.P. Wang
Marina L. Gavrilova
Marina L. Gavrilova
Chapter 1
Introduction  (pages 1-5)
This chapter presents an introductory overview of the application of computational intelligence in biometrics. Starting with the historical... Sample PDF
Chapter 2
Recent security threats increase the necessity to establish the identity of every person. Biometric authentication is a solution to person... Sample PDF
Overview of Biometrics and Biometrics Systems
Chapter 3
In most biometric-based security systems, images of the associated biometric identifiers are used as the input to that system. This chapter... Sample PDF
Biometric Image Processing
Chapter 4
Integrating different information originating from different sources, known as information fusion, is one of the main factors of designing a... Sample PDF
Multimodal Biometric System and Information Fusion
Chapter 5
Rank Level Fusion  (pages 69-79)
Rank level fusion is one of the after matching fusion methods used in multibiometric systems. The problem of rank information aggregation has been... Sample PDF
Rank Level Fusion
Chapter 6
Markov chain is a mathematical model used to represent a stochastic process. In this chapter, Markov chain-based rank level fusion method for... Sample PDF
Markov Chain for Multimodal Biometric Rank Fusion
Chapter 7
Fuzzy logic is a mathematical tool that can provide a simple way to derive a conclusion with the presence of noisy input information. It is a... Sample PDF
Fuzzy Fusion for Multimodal Biometric
Chapter 8
This chapter presents a review on a new subfield of security research which transforms and expands the domain of biometrics beyond biological... Sample PDF
Robotics and Multimodal Biometrics
Chapter 9
Neural network is a collection of interconnected neurons with the ability to derive conclusion from imprecise data that can be used to both identify... Sample PDF
Chaotic Neural Networks and Multi-Modal Biometrics
Chapter 10
This chapter presents the original idea of using social networks and context information in multimodal biometric for increased system security. A... Sample PDF
Novel Applications of Multimodal Biometrics
Chapter 11
Conclusion  (pages 164-166)
This chapter summarizes the book’s contribution to the domain of information security and biometric research, and points out future directions of... Sample PDF
List of Figures
List of Tables
List of Abbreviations
About the Authors

Author(s)/Editor(s) Biography

Marina L. Gavrilova is an Associate Head and Professor in the Department of Computer Science, University of Calgary. Dr. Gavrilova research interests lie in the area of computational geometry, image processing, optimization, spatial and biometric modeling. Prof. Gavrilova is founder and co-director of two innovative research laboratories: the Biometric Technologies Laboratory: Modeling and Simulation and the SPARCS Laboratory for Spatial Analysis in Computational Sciences. Prof. Gavrilova publication list includes over 120 journal and conference papers, edited special issues, books and book chapters, including World Scientific Bestseller of the Month (2007) – “Image Pattern Recognition: Synthesis and Analysis in Biometric” and Springer book “Computational Intelligence: A Geometry-Based Approach”. Together with Dr. Kenneth Tan, Prof. Gavrilova founded ICCSA series of successful international events in 2001. She founded and chaired International Workshop on Computational Geometry and Applications since 2000, was Co-Chair of the International Workshop on Biometric Technologies BT 2004, Calgary; served as Overall Chair of the 3rd International Conference on Voronoi Diagrams in Science and Engineering (ISVD) in 2006, was Organization Chair of WADS 2009 (Banff), and general chair of International Conference on Cyberworlds CW2011 (October 4-6, Banff, Canada). Prof. Gavrilova is an Editor-in-Chief of successful LNCS Transactions on Computational Science Journal, Springer-Verlag since 2007 and serves on the Editorial Board for the International Journal of Computational Sciences and Engineering, CAD/CAM Journal and Journal of Biometrics. She has received numerous awards and was successful in obtaining major funding for her research program. Her research was profiled in newspaper and TV interviews, most recently being chosen together with other five outstanding Canadian scientists to be featured in National Museum of Civilization and National Film Canada production. Her greatest accomplishment, in her own words, is finding a delicate balance between a professional and personal life while striving to give her best to both. Together with her husband, Dr. Dmitri Gavrilov, she is a proud parent of two wonderful boys, Andrei and Artemy.
Maruf Monwar is a PhD student of Computer Science at the University of Calgary. He received his B.Sc. (Hons.) and M.Sc. in Computer Science & Technology at the University of Rajshahi, Bangladesh and M.Sc. in Computer Science at the University of Northern BC, Canada. He is an Assistant Professor at the Department of Computer Science & Engineering, University of Rajshahi, Bangladesh, and currently is on study leave. His primary research interests include biometric fusion, expression recognition and biological data processing. He is one of the recipients of the prestigious inaugural NSERC Vanier CGS Scholarship. He served as a guest editor of the International Journal of Biometrics, published by Indersciences.