Adaptive Authentication System for Behavior Biometrics using Supervised Pareto Self Organizing Maps

نویسندگان

  • MASANORI NAKAKUNI
  • HIROSHI DOZONO
چکیده

The biometrics authentication systems take attentions to cover the weakness of password authentication system. In this paper, we focus attention on the multi modal-biometrics of behavior characteristics. For the integration of multi modal biometrics Supervised Pareto learning SOM(SP-SOM) and its incremental learning method for implementing adaptive authentication system are proposed. Key–Words: Biometric authentication, Self Organizing Map, Incremental learning, Supervised learning

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تاریخ انتشار 2008