tailieunhanh - Báo cáo hóa học: "Editorial Advanced Signal Processing and Pattern Recognition Methods for Biometrics"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial Advanced Signal Processing and Pattern Recognition Methods for Biometrics | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 142013 3 pages doi 2008 142013 Editorial Advanced Signal Processing and Pattern Recognition Methods for Biometrics Nikolaos V. Boulgouris 1 Juwei Lu 2 Konstantinos N. Plataniotis 3 and Arun Ross4 1 Department of Electronic Engineering Division of Engineering King s College London London WC2R2LS UK 2 Vidient Systems Inc. 4000 Burton Drive Santa Clara CA 95054 USA 3 The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Toronto Ontario Canada M5S 3G4 4 Lane Department of Computer Science and Electrical Engineering West Virginia University Morgantown WV26506 USA Correspondence should be addressed to Nikolaos V. Boulgouris Received 23 April 2008 Accepted 23 April 2008 Copyright 2008 Nikolaos V. Boulgouris et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Biometric systems establish the identity of an individual based on physical characteristics such as fingerprint face hand and iris or behavioral characteristics such as gait signature handwriting and keystroke dynamics. Interest in biometrics has grown significantly over the last three decades. Consequently both academic as well as corporate research units have devoted plenty of resources to the study research and development of accurate and cost-effective biometric systems. Biometric authentication systems are now being used in a wide range of applications including border security automated surveillance physical access control and network security. A typical biometric system consists of a sensor module for acquiring the biometric signal of an individual a feature extraction module for extracting discriminant features from the signal a matching module for comparing two sets