The adaptive authentication system for behavior biometrics using pareto learning self organizing maps

  • Authors:
  • Hiroshi Dozono;Masanori Nakakuni;Shinsuke Itou;Shigeomi Hara

  • Affiliations:
  • Faculty of Science and Engineering, Saga University, Saga, Japan;Information Technology Center, Fukuoka University, Fukuoka, Japan;Faculty of Science and Engineering, Saga University, Saga, Japan;Faculty of Science and Engineering, Saga University, Saga, Japan

  • Venue:
  • ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
  • Year:
  • 2010

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Abstract

In this paper, we propose an authentication system which can adapt to the temporal changes of the behavior biometrics with accustoming to the system. We proposed the multi-modal authentication system using Supervised Pareto learning Self Organizing Maps. In this paper, the adaptive authentication system with incremental learning which is applied as the feature of neural networks is developed.