A multiple layer fusion approach on keystroke dynamics


Teh, Pin Shen and Teoh, Andrew Beng Jin and Tee, Connie and Ong, Thian Song (2011) A multiple layer fusion approach on keystroke dynamics. Pattern Analysis and Applications, 14 (1). pp. 23-36. ISSN 1433-7541

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In this paper, we present a novel keystroke dynamic recognition system by means of a novel two-layer fusion approach. First, we extract four types of keystroke latency as the feature from our dataset. The keystroke latency will be transformed into similarity scores via Gaussian Probability Density Function (GPD). We also propose a new technique, known as Direction Similarity Measure (DSM), which measures the absolute difference between two sets of latency. Last, four fusion approaches coupled with six fusion rules are applied to improve the final result by combining the scores that are produced by GPD and DSM. Best result with equal error rate of 1.401% is obtained with our two-layer fusion approach

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 02 Jan 2014 01:38
Last Modified: 02 Jan 2014 01:38
URII: http://shdl.mmu.edu.my/id/eprint/4706


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