Advanced Pattern Recognition Technologies with Applications to Biometrics

Advanced Pattern Recognition Technologies with Applications to Biometrics

David Zhang (Hong Kong Polytechnic University, Hong Kong ), Fengxi Song (New Star Research Institute Of Applied Technology, China), Yong Xu (Harbin Institute of Technology, China) and Zhizhen Liang (Shanghai Jiao Tong University, China)
Release Date: January, 2009|Copyright: © 2009 |Pages: 384
DOI: 10.4018/978-1-60566-200-8
ISBN13: 9781605662008|ISBN10: 1605662003|EISBN13: 9781605662015
Hardcover:
Available
$225.00
TOTAL SAVINGS: $225.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
E-Book:
(Multi-User License)
Available
$202.50
List Price: $225.00
10% Discount:-$22.50
TOTAL SAVINGS: $22.50
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
Hardcover +
E-Book:
(Multi-User License)
Available
$270.00
TOTAL SAVINGS: $270.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
OnDemand:
(Individual Chapters)
Available
$37.50
TOTAL SAVINGS: $37.50
Benefits
  • Purchase individual chapters from this book
  • Immediate PDF download after purchase or access through your personal library
Description & Coverage
Description:

With the increasing concerns on security breaches and transaction fraud, highly reliable and convenient personal verification and identification technologies are more and more requisite in our social activities and national services. Biometrics, used to recognize the identity of an individual, are gaining ever-growing popularity in an extensive array of governmental, military, forensic, and commercial security applications.

Advanced Biometric Recognition Technologies: Discriminant Criterion and Fusion Applications focuses on two kinds of advanced biometric recognition technologies, biometric data discrimination and multi-biometrics, while systematically introducing recent research in developing effective biometric recognition technologies. Organized into three main sections, this cutting-edge book explores advanced biometric data discrimination technologies, describes tensor-based biometric data discrimination technologies, and develops the fundamental conception and categories of multi-biometrics technologies.

Coverage:

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

  • Biometric discriminant analysis
  • Biometric fusion
  • Biometric recognition technologies
  • Decision level fusion
  • Discriminant criteria for pattern classification
  • Feature extraction level fusion
  • Feature fusion using complex discriminator
  • Linear discriminant analysis
  • Matching score level fusion
  • Novel facial feature extraction methods
  • Orthogonal discriminant analysis methods
  • Parameterized discriminant analysis methods
  • Tensor linear discriminant analysis
  • Tensor principal component analysis
  • Tensor technology
Reviews and Testimonials

This book is a comprehensive introduction to theoretical analysis, algorithms, and practical applications of two kinds of advanced biometric recognition technologies, biometric data discrimination and multi-biometrics.

– David Zhang, Hong Kong Polytechnic University, Hong Kong

This book covers both biometric data discrimination and multi-biometrics.

– Book News Inc. (March 2009)
Table of Contents
Search this Book:
Reset
Editor/Author Biographies
David Zhang graduated in computer science from Peking University (1974). He received his MSc in computer science in 1982 and PhD in 1985 from the Harbin Institute of Technology (HIT). From 1986 to 1988, he was a postdoctoral fellow at Tsinghua University and then an associate professor at the Academia Sinica (Beijing). In 1994, he received his second PhD in electrical and computer engineering from the University of Waterloo, (Ontario, Canada). Currently, he is a chair professor at the Hong Kong Polytechnic University, where he is the founding Director of the Biometrics Technology Centre (UGC/CRC) supported by the Hong Kong SAR government in 1998. He also serves as a visiting chair professor in Tsinghua University, and an adjunct professor at Shanghai Jiao Tong University, Beihang University, HIT and the University of Waterloo. He is the founder and editor-in-chief of the International Journal of Image and Graphics (IJIG); book editor of the "Springer International Series on Biometrics" (SISB); organizer of the International Conference on Biometrics 2004 and 2006 (ICBA 2004 and ICB 2006); associate editor of more than 10 international journals, including IEEE Transactions on SMC-A/SMC-C/Pattern Recognition; chair of IEEE/CIS Technical Committee on Intelligent System Application; and the author of more than 10 books and 160 journal papers. Professor Zhang is a Croucher Senior Research Fellow, Distinguished Speaker of the IEEE Computer Society, and Fellow of the International Association of Pattern Recognition (IAPR).
Fengxi Song graduated in applied mathematics from the Anhui University (1984). He earned his MSc in applied mathematics from the Changsha Institute of Technology (1987) and PhD in pattern recognition from the Nanjing University of Science and Technology (2004). From 2005 to 2007, he was a postdoctoral fellow at ShenZhen Graduate School, Harbin Institute of Technology. Currently, he is a professor at New Star Research Institute of Applied Technology in Hefei City, (China). He is the author of more than 30 scientific papers in pattern recognition and computer vision. He is a reviewer of several international journals such as IEEE Transactions and Pattern Recognition. His research interests include pattern recognition, computer vision, image processing, and text categorization.
Yong Xu was born in Sichuan (China, 1972). He received his BS degree and MS degree at Air Force Institute of Meteorology (China, 1994 and 1997, respectively). He then received his PhD degree in pattern recognition and intelligence system at the Nanjing University of Science and Technology (NUST) in 2005. From May 2005 to April 2007, he worked at Shenzhen graduate school, Harbin Institute of Technology (HIT) as a postdoctoral research fellow. Now he is an associate professor at Shenzhen graduate school, HIT. He also acts as a research assistant researcher at the Hong Kong Polytechnic University from August 2007 to June 2008. He has published more than 40 scientific papers. He is an associate editor of the International Journal of Image and Graphics, a reviewer of several international journals such as IEEE Transactions on Systems, Man, and Cybernetics, International Journal of Pattern Recognition and Artificial Intelligence and Neurocomputing. His current interests include pattern recognition, biometrics, machine learning, and image processing.
Zhizheng Liang graduated from the Department of Automation at TianJin University of Technology and Education in 1999. He received his MSc from the Department of Automation in Shandong University in 2001 and his PhD in pattern andiIntelligent systems from Shanghai Jiaotong University, (China) in 2005. From 2005 to 2007, he was a postdoctoral researcher at Shenzhen Graduate School in Harbin Institute of Technology. Currently, he is a research fellow at City University of Hong Kong. His current interests include image processing, pattern recognition, and machine learning.
Editorial Policy
In order to ensure the highest ethical practices are achieved for each book, IGI Global provides a full document of policies and guidelines that all editors, authors, and reviewers are expected to follow. View Full Editorial Policy
Peer Review Process
The peer review process is the driving force behind all IGI Global books and journals. All IGI Global reviewers maintain the highest ethical standards and each manuscript undergoes a rigorous double-blind peer review process, which is backed by our full membership to the Committee on Publication Ethics (COPE). The full publishing process and peer review are conducted within the IGI Global eEditorial Discovery® online submission system and on average takes 30 days. Learn More
Ethics & Malpractice
IGI Global affirms that ethical publication practices are critical to the successful development of knowledge. Therefore, it is the policy of IGI Global to maintain high ethical standards in all publications. These standards pertain to all books, journals, chapters, and articles accepted for publication. This is in accordance with standard scientific principles and IGI Global’s position as a source of scientific knowledge. Learn More
Abstracting & Indexing
Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.