Adaptive biometrics systems

Adaptive biometrics systems: It gives bits of knowledge into how to overcome data security snags introduced by conventional means and the rise of new biometric patterns, progressions, drivers, and opportunities that will shape the biometrics business without bounds. This track contains incorporated biometric identification and surveillance systems, essential segment examination and multilayer discernment, human system interaction, centralized biometric database, canny pupil investigation framework, palm print ID, biometric data delivery, laser imaging and biometrics, developing and future trends of biometrics.

Adaptive biometric Systems aim to auto-update the templates or model to the intra-class variation of the operational data. The two-fold advantages of these systems are solving the problem of limited training data and tracking the temporal variations of the input data through adaptation. Recently, adaptive biometrics have received a significant attention from the research community. This research direction is expected to gain momentum because of their key promulgated advantages. First, with an adaptive biometric system, one no longer needs to collect a large number of biometric samples during the enrollment process. Second, it is no longer necessary to re-enroll or retrain the system from scratch in order to cope with the changing environment. This convenience can significantly reduce the cost of maintaining a biometric system. Despite these advantages, there are several open issues involved with these systems. For mis-classification error (false acceptance) by the biometric system, cause adaptation using impostor sample.

  • Integrated biometric identification and surveillance systems
  • Principal component analysis and multilayer perception
  • Human system interaction
  • Centralized biometric database
  • Intelligent pupil analysis system
  • Biometric data delivery
  • Laser imaging and biometrics

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