Behavioral Biometrics For Human Identification Intelligent Applications Premier Reference Source 1st Edition by Liang Wang, Xin Geng ISBN 978-1605667256 1605667250
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Product details:
ISBN 10:1605667250
ISBN 13: 978-1605667256
Author: Liang Wang, Xin Geng
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.
Table of contents:
Chapter 1
Taxonomy of Behavioural Biometrics
Roman V. Yampolskiy, University of Louisville, USA
Venu Govindaraju, University at Buffalo, USA
Chapter 2
Security Evaluation of Behavioral Biometric Systems
Olaf Henniger, Fraunhofer Institute for Secure Information Technology, Germany
Chapter 3
Performance Evaluation of Behavioral Biometric Systems..
F. Cherifi, University of Caen, France
B. Hemery, University of Caen, France
R. Giot, University of Caen, France
Mr. Pasquet, University of Caen, France
C. Rosenberger, University of Caen, France
Chapter 4
Individual Identification from Video Based on “Behavioural Biometrics”
Y. Pratheepan, University of Ulster, UK
J.V. Condell, University of Ulster, UK
G. Prasad, University of Ulster, UK
Chapter 5
Behavioral Biometrics: A Biosignal Based Approach.
Kenneth Revett, University of Westminster, UK
Chapter 6
Gabor Wavelets in Behavioral Biometrics.
M. Ashraful Amin, City University of Hong Kong, Hong Kong
Hong Yan, City University of Hong Kong, Hong Kong
Chapter 7
Gait Recognition and Analysis..
Shiqi Yu, Chinese Academy of Sciences/The Chinese University of Hong Kong, China
Liang Wang, The University of Melbourne, Australia
Chapter 8
Multiliner Modeling for Robust Identity Recognition from Gait
Fabio Cuzzolin, Oxford Brookes University, UK
Chapter 9
Gait Feature Fusion using Factorial HMM.
Jimin Liang, Xidian University, China
Changhong Chen, Xidian University, China
Heng Zhao, Xidian University, China
Haihong Hu, Xidian University, China
Jie Tian, Xidian University, China
Chapter 10
Mouse Dynamics Biometric Technology.
Ahmed Awad E. Ahmed, University of Victoria, Canada
Issa Traore, University of Victoria, Canada
Chapter 11
Activity and Individual Human Recognition in Infrared Imagery.
Bir Bhanu, University of California – Riverside, USA
Ju Han, University of California – Riverside, USA
Chapter 12
Gaze Based Personal Identification
Clinton Fookes, Queensland University of Technology, Australia
Anthony Maeder, CSIRO ICT Centre, Australia
Sridha Sridharan, Queensland University of Technology, Australia
George Mamic, Queensland University of Technology, Australia
Chapter 13
Speaker Verification and Identification
Minho Jin, Korea Advanced Institute of Science and Technology, Republic of Korea
Chang D. Yoo, Korea Advanced Institute of Science and Technology, Republic of Korea
Chapter 14
Visual Attentionfor Behavioral Biometric Systems.
Concetto Spampinato, University of Catania, Italy
Chapter 15
Statistical Features for Text-Independent Writer Identification
Zhenan Sun, NLPR, CAS, China
Bangyu Li, NLPR, CAS, China
Tieniu Tan, NLPR, CAS, China
Chapter 16
Keystroke Biometric Identification and Authentication on Long-Text Input
Charles C. Tappert, Pace University, USA
Mary Villani, Pace University, USA
Sung-Hyuk Cha, Pace University, USA
Chapter 17
Secure Dynamic Signature-Crypto Key Computation…
Andrew Teoh Beng Jin, Yonsei University, Korea
Yip Wai Kuan, Multimedia University, Malaysia
Chapter 18
Game Playing Tactic as a Behavioral Biometric for Human Identification
Roman V. Yampolskiy, University of Louisville, USA
Venu Govindaraju, University at Buffalo, USA
Chapter 19
Multimodal Biometrics Fusion for Human Recognition in Video..
Xiaoli Zhou, University of California – Riverside, USA Bir Bhanu, University of California – Riverside, USA
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Tags: Liang Wang, Xin Geng, Behavioral Biometrics, Human Identification, Intelligent Applications