------------------------------------------------------------------------------- IEEE Transactions on Circuits and Systems for Video Technology Special Issue on Image- and Video-Based Biometrics Call For Papers Over the past two decades, image- and video-based biometrics as a research field has experienced exponential growth. In addition to such traditional techniques as face and fingerprint recognition, many image- and video-based techniques using iris, hand-shape, palm-print, gait, signature, and multi-modal analysis have been developed. The forge-resistant nature of biometric technology makes it an ideal technology for applications ranging from forensic investigation for law enforcement, personal identification for secure access control, to video surveillance for public places. Biometric technology has increasingly become a viable addition to traditional identification technology. The goal of this special issue is to collate the efforts and major achievements of scientists working on different biometric authentication techniques in an attempt to contribute to robust solutions to the many challenging problems in the area. High quality research papers are solicited to address theoretical as well as practical issues related to the Special Issue's theme. Topics of interest include but are not limited to: 1. Face/Fingerprint/Hand/Iris/Gait/Signature and any other image- and video-based biometrics 2. Multi-modal biometrics and fusion 3. Multi-algorithmic and multi-expert techniques 4. Performance evaluation methodologies, protocols and comparative benchmark results 5. New devices and applications Submission Procedure: To submit a paper to this special issue, authors should follow the instructions in the Information for Authors on the back cover of a recent issue of the IEEE Transactions on Circuits and Systems for Video Technology. Prospective authors should send manuscripts in pdf file through email to Prof. Xiaoou Tang at xtang@ie.cuhk.edu.hk.. Important Dates: Deadline for Manuscript Submission: October 31, 2002 Final Accepted Manuscript Due: May 1, 2003 Expected Publication Date: August 2003 Guest Editors: Xiaoou Tang Department of Information Engineering The Chinese University of Hong Kong Shatin, Hong Kong xtang@ie.cuhk.edu.hk Songde Ma National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Science Beijing 100080, China masd@mail.most.gov.cn Massimo Tistarelli Computer Vision Laboratory DAP - University of Sassari Via Muroni 25 07100 Sassari - Italy tista@dist.unige.it Lawrence O'Gorman Avaya Labs, Room 1B04 233 Mt. Airy Road Basking Ridge, NJ 07920, USA logorman@avaya.com