Adaptive Biometric Systems

丛 书 名：Advances in Computer Vision and Pattern Recognition

版本说明：1st ed. 2015

作     者：Ajita Rattani Fabio Roli Eric Granger 

I S B N：(纸本) 9783319248639 

出 版 社：Springer International Publishing 

出 版 年：2015年

摘      要：This interdisciplinary volume presents a detailed overview of the latest advances and challenges remaining in the field of adaptive biometric systems. A broad range of techniques are provided from an international selection of pre-eminent authorities, collected together under a unified taxonomy and designed to be applicable to any pattern recognition system. Features: presents a thorough introduction to the concept of adaptive biometric systems; reviews systems for adaptive face recognition that perform self-updating of facial models using operational (unlabeled) data; describes a novel semi-supervised training strategy known as fusion-based co-training; examines the characterization and recognition of human gestures in videos; discusses a selection of learning techniques that can be applied to build an adaptive biometric system; investigates procedures for handling temporal variance in facial biometrics due to aging; proposes a score-level fusion scheme for an adaptive multimodal biometric system.