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.
Les mer
Automatic biometrics recognition techniques are becoming increasingly important in corporate and public security systems and have increased in methods due to rapid field development. This title discusses classic behavioral biometrics as well as collects the advances in techniques, theoretical approaches, and dynamic applications.
Les mer
Behavioral biometrics Gait recognition and analysis Gaze based personal identification Human identification Individual human recognition Multi-modal biometrics fusion Mouse dynamics biometric technology Performance evaluation of behavioral biometric systems Robust identity recognition Security evaluation of behavioral biometric systems Speaker verification and identification Taxonomy of behavioral biometrics
Les mer

Produktdetaljer

ISBN
9781605667256
Publisert
2009-09-30
Utgiver
Vendor
Medical Information Science Reference
Vekt
1774 gr
Aldersnivå
UP, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
488

Redaktør

Biographical note

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.