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Multimodal Biometrics and Intelligent Image Processing for Security Systems
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Author(s)/Editor(s): Marina L. Gavrilova (University of Calgary, Canada)and Maruf Monwar (Carnegie Mellon University, USA)
Copyright: ©2013
DOI: 10.4018/978-1-4666-3646-0
ISBN13: 9781466636460
ISBN10: 1466636467
EISBN13: 9781466636477
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DescriptionAlthough 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.
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
Author's/Editor's Biography
Marina Gavrilova
Marina L. Gavrilova
is a Full Professor at the University of Calgary and Research Excellence Chair in Trustworthy an Explainable AI. She directs the Biometric Technologies Laboratory and has published over 300 books, conference proceedings, and peer-reviewed articles in the domains of biometric security, machine learning, pattern recognition, and information fusion. Her professional excellence was recognized by the Canada Foundation for Innovation, the Killam Foundation, and the Order of the University of Calgary. She is the Founding Editor-in-Chief of Transactions on Computational Sciences (Springer), and serves on the editorial boards for the IEEE Transactions on Computational Sciences, IEEE Access, The Visual Computer, Sensors, IJPRAI and the International Journal of Biometrics.
Maruf Monwar
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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