Please use this identifier to cite or link to this item: http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/506
Title: Intelligent pressure-based typing biometrics system
Authors: Dahalan, Azweeda
Salami, Momoh-Jimoh E.
Lai, Weng K.
Ismail, Ahmad F.
Keywords: Intelligent Pressure-Based
Typing Biometrics System
Issue Date: 20-Sep-2004
Publisher: Springer, Berlin, Heidelberg
Citation: Dahalan, A., Salami, M. E., Lai, W. K., & Ismail, A. F. (2004, September). Intelligent pressure-based typing biometrics system. In International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (pp. 294-304). Springer, Berlin, Heidelberg.
Abstract: 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.
URI: http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/506
Appears in Collections:Research Articles

Files in This Item:
File Description SizeFormat 
Intelligent pressure-based typing biometrics system.pdfArticle full-text313.15 kBAdobe PDFThumbnail
View/Open


Items in EUSpace are protected by copyright, with all rights reserved, unless otherwise indicated.