Adaptive Biometric Systems Recent Advances and Challenges / [electronic resource] :
edited by Ajita Rattani, Fabio Roli, Eric Granger.
- X, 134 p. 44 illus., 24 illus. in color. online resource.
- Advances in Computer Vision and Pattern Recognition, 2191-6586 .
- Advances in Computer Vision and Pattern Recognition, .
This timely and 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. Topics and features: Presents a thorough introduction to the concept of adaptive biometric systems, detailing their taxonomy, levels of adaptation, and open issues and challenges 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 This comprehensive text/reference will be of great interest to researchers and practitioners engaged in systems science, information security or biometrics. Postgraduate and final-year undergraduate students of computer engineering will also appreciate the coverage of intelligent and adaptive schemes for cutting-edge pattern recognition and signal processing in changing environments.
9783319248653
10.1007/978-3-319-24865-3 doi
Computer science.
Artificial intelligence.
Pattern recognition.
Biometrics (Biology).
Computer Science.
Biometrics.
Pattern Recognition.
Signal, Image and Speech Processing.
Artificial Intelligence (incl. Robotics).
QH323.5
570.15195
This timely and 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. Topics and features: Presents a thorough introduction to the concept of adaptive biometric systems, detailing their taxonomy, levels of adaptation, and open issues and challenges 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 This comprehensive text/reference will be of great interest to researchers and practitioners engaged in systems science, information security or biometrics. Postgraduate and final-year undergraduate students of computer engineering will also appreciate the coverage of intelligent and adaptive schemes for cutting-edge pattern recognition and signal processing in changing environments.
9783319248653
10.1007/978-3-319-24865-3 doi
Computer science.
Artificial intelligence.
Pattern recognition.
Biometrics (Biology).
Computer Science.
Biometrics.
Pattern Recognition.
Signal, Image and Speech Processing.
Artificial Intelligence (incl. Robotics).
QH323.5
570.15195