INTELLIGENT BIOMETRIC SIGNATURE VERIFICATION SYSTEM INCORPORATING NEURAL NETWORK

Authors

  • Lim Boon Han Department of Applied Mechanics Faculty of Mechanical Engineering Universiti Teknologi Malaysia 81310 Johor Bahru, Johor, Malaysia
  • Musa Mailah Department of Applied Mechanics Faculty of Mechanical Engineering Universiti Teknologi Malaysia 81310 Johor Bahru, Johor, Malaysia

Keywords:

Biometrics, neural network, back error propagation, signature verification

Abstract

In this paper, the practical development of a noveL but yet simple, low cost and userfriendly
PC-based biometric technique to veritv human signature is presented. The system
is based on data acquired from time duration, pen position and pressure signals of
handwritten signatures. A preprocessing stage of the acquired signature signals involving
the use of a number of common feature extraction techniques is rigorously highlighted. An
intelligent feature of the system is made possible through the application of a multilayer
feedforward neural network that is used together with suitable algorithms to complement
the verification process. The results of the study showed that the system is effective and
promising in identifying correct human signatures presented to the system.

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Published

2018-04-24

How to Cite

Boon Han, L., & Mailah, M. (2018). INTELLIGENT BIOMETRIC SIGNATURE VERIFICATION SYSTEM INCORPORATING NEURAL NETWORK. Jurnal Mekanikal, 20(2). Retrieved from https://jurnalmekanikal.utm.my/index.php/jurnalmekanikal/article/view/190

Issue

Section

Mechanical

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