Autonomous synergy with biometric security and liveness detection

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)

2 Citations (Scopus)

Abstract

Liveness detection in biometric systems has become an integral part of system viability, but it has innate disadvantages concerning implementation, situational suitability and acceptance. This paper looks at the potential for combining liveness detection techniques with autonomous concepts to minimize, negate or even improve the original system. This is done by considering two potential areas within the autonomous system purview, autonomous architectures and the human nervous system paradigm. Within each there are a number of areas that could accept liveness detection incorporation and potentially improve each applicable subsystem. This paper will cover an introduction into these topics and a discussion about their suitability.
Original languageEnglish
Title of host publicationNot Known
Pages376-382
Publication statusPublished - 2013
EventSAI Computing Conference -
Duration: 25 Dec 2013 → …

Conference

ConferenceSAI Computing Conference
Period25/12/13 → …

Keywords

  • Authentication
  • Feature extraction
  • Fingerprint recognition
  • Hardware
  • Nervous system
  • Robustness
  • autonomous architecture
  • autonomous architectures
  • autonomous synergy
  • autonomous system purview
  • autonomous systems
  • biometric
  • biometric security
  • biometric system
  • biometrics (access control)
  • feature extraction
  • human nervous system paradigm
  • liveness detection
  • liveness detection technique
  • signal processing
  • situational suitability
  • system viability
  • template capture

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