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Adaptive Biometric Systems


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Table of Contents

Introduction to Adaptive Biometric Systems
Ajita RattaniContext-Sensitive Self-Updating for Adaptive Face Recognition
C. Pagano, E. Granger, R. Sabourin, P. Tuveri, G.L. Marcialis and F. RoliHandling Session Mismatch by Semi-Supervised Based Co-Training Scheme
Norman Poh, Joseph Kittler and Ajita RattaniA Hybrid CRF/HMM for One-Shot Gesture Learning
Selma Belgacem, Clement Chatelain and Thierry PaquetAn Online Learning-Based Adaptive Biometric System
A. Das, R. Kunwar, U. Pal, M. A. Ferrer and M. BlumensteinAdaptive Facial Recognition Under Aging Effect
Zahid Akhtar, Amr Ahmed, Cigdem Eroglu Erdem and Gian Luca ForestiAn Adaptive Score Level Fusion Scheme for Multimodal Biometric Systems
Kamlesh Tiwari and Phalguni Gupta

About the Author

Dr. Ajita Rattani is a post-doctoral fellow in the Integrated Pattern Recognition and Biometrics (i-PRoBe) lab at Michigan State University, East Lansing, MI, USA. Dr. Fabio Roli is a professor of computer engineering and the Director of the Pattern Recognition and Applications (PRA) lab at the University of Cagliari, Italy. Dr. Eric Granger is a professor in the Department of Automated Manufacturing Engineering and the Director of the Laboratory for Imagery, Vision and Artificial Intelligence at the Ecole de technologie superieure (ETS), Montreal, QC, Canada.

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