Intelligent Pressure-Based Typing Biometrics System

  • Azweeda Dahalan
  • M. J. E Salami
  • W. K. Lai
  • Ahmad Faris Ismail
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3214)


The design and development of a real-time enhanced password security system, based on the analysis of habitual typing rhythms of individuals, is discussed in this paper. The paper examines the use of force exerted on the keyboard and time latency between keystrokes to create typing patterns for individual users. Pressure signals which are taken from the sensors underneath the keypad are extracted accordingly. These are then used to recognize authentic users and reject imposters. An experimental setup has been developed to capture the pressure signal information of the users’ typing rhythm. Neuro-fuzzy system is employed as the classifier to measure the user’s typing pattern using the Adaptive Neural Fuzzy Inference System toolbox (ANFIS) in MATLAB.


Fuzzy Inference System Adaptive Neuro Fuzzy Inference System Biometric System Adaptive Neuro Fuzzy Inference System Password Authentication 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Azweeda Dahalan
    • 1
  • M. J. E Salami
    • 1
  • W. K. Lai
    • 2
  • Ahmad Faris Ismail
    • 3
  1. 1.Mechatronics Dept. Faculty of EngineeringInternational Islamic University Malaysia (IIUM)Kuala LumpurMalaysia
  2. 2.Technology Research GroupMIMOS Bhd.Kuala LumpurMalaysia
  3. 3.Faculty of EngineeringInternational Islamic University Malaysia (IIUM)Kuala LumpurMalaysia

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