Biometric Image Discrimination Technologies: Computational Intelligence and its Applications Series

Biometric Image Discrimination Technologies: Computational Intelligence and its Applications Series

David Zhang, Xiao-Yuan Jing, Jian Yang
Release Date: February, 2006|Copyright: © 2006 |Pages: 358
DOI: 10.4018/978-1-59140-830-7
ISBN13: 9781591408307|ISBN10: 159140830X|EISBN13: 9781591408321
Hardcover:
Available
$89.95
Benefits & Incentives
TOTAL SAVINGS: $89.95
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
Hardcover:
Available
$89.95
Benefits & Incentives
TOTAL SAVINGS: $89.95
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
E-Book:
Available
$89.95
Benefits & Incentives
TOTAL SAVINGS: $89.95
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
E-Book:
Available
$89.95
Benefits & Incentives
TOTAL SAVINGS: $89.95
Benefits
  • Immediate access after purchase
  • No DRM
  • PDF download
  • Receive a 10% Discount on eBooks
Hardcover +
E-Book:
Available
$105.00
Benefits & Incentives
TOTAL SAVINGS: $105.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
Hardcover +
E-Book:
Available
$105.00
Benefits & Incentives
TOTAL SAVINGS: $105.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Immediate access after purchase
  • No DRM
  • PDF download
Article Processing Charge:
Available
$700.00
Benefits & Incentives
TOTAL SAVINGS: $700.00
OnDemand:
(Individual Chapters)
Available
$37.50
Benefits & Incentives
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:

Biometric Image Discrimination Technologies addresses highly relevant issues to many fundamental concerns of both researchers and practitioners of biometric image discrimination (BID) in biometric applications. This book describes the basic concepts necessary for a good understanding of BID and answers some important introductory questions about BID.

Biometric Image Discrimination Technologies covers the theories which are the foundations of basic BID technologies, while developing new algorithms which are verified to be more effective in biometrics authentication. This book will assist students new to the field and will also be useful to senior researchers in this area. This book is a part of the Computational Intelligence and its Applications Series.

Coverage:
Coverage forthcoming
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).
Xiao-Yuan Jing graduated in Computer Application from the Jiangsu University of Science and Technology in 1992. He received his MSc and PhD in Pattern Recognition from the Nanjing University of Science and Technology in 1995 and 1998, respectively. From 1998 to 2001, he was a Manager of Image Technology Department of E-Com Company. From 2001 to 2004, he was an Associate Professor at the Institute of Automation, Chinese Academia of Sciences, Beijing, and a Visiting Scholar at Hong Kong Polytechnic University and Hong Kong Baptist University. Currently, he is a Professor and Doctor Supervisor at Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China. He serves as a member of the Intelligent Systems Applications Committee of IEEE Computational Intelligence Society.
Jian Yang obtained his Bachelor of Science in Mathematics at the Xuzhou Normal University in 1995. He then continued to complete a Masters of Science degree in Applied Mathematics at the Changsha Railway University in 1998 and his PhD at the Nanjing University of Science and Technology (NUST) in the Department of Computer Science on the subject of Pattern Recognition and Intelligence Systems in 2002. From January to December in 2003, he was a postdoctoral researcher at the University of Zaragoza and affiliated with the Division of Bioengineering of the Aragon Institute of Engineering Research (I3A). In the same year, he was awarded the RyC program Research Fellowship, sponsored by the Spanish Ministry of Science and Technology. Now, he is a professor at the Department of Computer Science of NUST and, at the same time, a Postdoctoral Research Fellow at Biometrics Centre of Hong Kong Polytechnic University.
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.