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.

Coverage:

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 & Statements

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.

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Editor/Author Biographies

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.

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