Behavioral Biometrics for Human Identification: Intelligent Applications

Behavioral Biometrics for Human Identification: Intelligent Applications

Liang Wang, Xin Geng
Indexed In: SCOPUS
Release Date: August, 2009|Copyright: © 2010 |Pages: 530
DOI: 10.4018/978-1-60566-725-6
ISBN13: 9781605667256|ISBN10: 1605667250|EISBN13: 9781605667263
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Description & Coverage
Description:

Automatic biometrics recognition techniques are becoming increasingly important in corporate and public security systems and have increased in methods due to rapid field development.

Behavioral Biometrics for Human Identification: Intelligent Applications discusses classic behavioral biometrics as well as collects the latest advances in techniques, theoretical approaches, and dynamic applications. A critical mass of research, this innovative collection serves as an important reference tool for researchers, practitioners, academicians, and technologists.

Coverage:

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

  • Behavioral Biometrics
  • Gait recognition and analysis
  • Gaze based personal identification
  • Human identification
  • Individual human recognition
  • Mouse dynamics biometric technology
  • Multi-modal biometrics fusion
  • Performance evaluation of behavioral biometric systems
  • Robust identity recognition
  • Security evaluation of behavioral biometric systems
  • Speaker verification and identification
  • Taxonomy of behavioral biometrics
Reviews & Statements

Behavioral Biometrics for Human Identification: Intelligent Applications provides researchers and practitioners a comprehensive understanding of the start-of-the-art of behavioral biometrics techniques, potential applications, successful practice, available resources, etc.

– Liang Wang, University of Melbourne, Australia
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Editor/Author Biographies
Liang Wang obtained the BEng and MEng degrees in electronic engineering from Anhui University and PhD in pattern recognition and intelligent system from National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences. From July 2004 to January 2007, he worked at Imperial College London (UK), and at Monash University (Australia), respectively. He is currently working as a research fellow at The University of Melbourne (Australia). His main research interests include pattern recognition, machine learning, computer vision, and data mining. He has widely published at IEEE TPAMI, TIP, TKDE, TCSVT, TSMC, CVIU, PR, CVPR, ICCV, and ICDM. He serves for many major international journals and conferences as AE, reviewer, or PC member. He is currently an associate editor of IEEE TSMC-B, IJIG and Signal Processing. He is a co-editor of four books to be published by IGI Global and Springer, and a guest editor of three special issues for the international journals PRL, IJPRAI and IEEE TSMC-B, as well as co-chairing a special session and three workshops for VM’08, MLVMA’08 and THEMIS’08.
Xin Geng received the BSc and MSc degrees in computer science from Nanjing University (China), and the PhD degree in computer science from Deakin University (Australia). He is currently an associate professor in the School of Computer Science and Engineering, Southeast University (China). His research interests include computer vision, pattern recognition, and machine learning. He has published over twenty refereed papers in these areas, including those published in prestigious journals and top international conferences. He has been a guest editor of several international journals, such as PRL and IJPRAI. He has served as a program committee member for a number of international conferences, such as PRICAI’08, AI’08, MMSP’08, CIT’08, and IEEE IRI’09. He is also a frequent reviewer for various international journals and conferences.
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Editorial Advisory Board
TENTATIVE

Editorial Advisory Board

  • Ahmed Awad, University of Victoria, Canada
  • Bir Bhanu, University of California, Riverside, USA
  • Hubert Cardot, Université François-Rabelais de Tours, France
  • Stan Li, Chinese Academy of Sciences, China
  • Mark Nixon, University of Southampton, UK
  • Tieniu Tan, Chinese Academy of Sciences, China
  • Anastasios Venetsanopoulos, Ryerson University,Canada
  • David Zhang, Hong Kong Polytechnic University, Hong Kong

    List of Reviewers

  • Md. Ashraful Amin, City University of Hong Kong
  • Ahmed Awad, University of Victoria, Canada
  • Sung-Hyuk Cha, Pace University, USA
  • Michal Choras, Uni. Technology and Life Sciences, Poland
  • Clinton Fookes, Queensland University of Technology, Australia
  • Olaf Henniger, Fraunhofer Institute for Secure Information Technology,  Germany
  • Minho Jin, KAIST, Korea
  • Andrew Teoh Beng Jin, Yonsei University, South Korea
  • Jimin Liang, Xidian University, China
  • George Mamic, Queensland University of Technology, Australia
  • Yogarajah Pratheepan, University of Ulster, UK
  • Kenneth Revett, University of Westminster, England
  • Christophe Rosenberger, ENSICAEN, France
  • Concetto Spampinato, University of Catania, Italy
  • Zhenan Sun, Institute of Automation, Chinese Academy of Sciences, China
  • Charles Tappert, Pace University, USA
  • Mary Villani, Pace University, USA
  • Roman Yampolskiy, University at Buffalo, USA
  • Shiqi Yu, Shenzhen Institute of Advanced Technology, CAS
  • Xiaoli Zhou, University of California - Riverside, USA