Adaptive biometric systems recent advances and challenges / [electronic resource] :

• 其他作者：
  • Rattani, Ajita.
  • Roli, Fabio.
  • Granger, Eric.
  • SpringerLink (Online service)
• 其他題名：
  • Advances in computer vision and pattern recognition,
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Advances in computer vision and pattern recognition,
• 主題： Biometric identification. , Identification--Automation , Computer networks--Access control , Computer science , Biometrics. , Pattern Recognition , Signal, Image and Speech Processing. , Artificial Intelligence (incl. Robotics)
• ISBN： 9783319248653 (electronic bk.) 、 9783319248639 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• More
• 摘要註: 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.
• 讀者標籤：

  需登入
• 引用連結：

  Copy Link
• 目前引用數
• Share: