Probabilistic model for dynamic signature verification system

Chai Tong Yuen, Wai Loon Lim, Ching Seongc Tan, Bok Min Goi, Xin Wang, Jee Hou Ho

Research output: Journal PublicationArticlepeer-review

10 Citations (Scopus)


This study has proposed the algorithm for signature verification system using dynamic parameters of the signature: pen pressure, velocity and position. The system is proposed to read, analyze and verify the signatures from the SUSig online database. Firstly, the testing and reference samples will have to be normalized, re-sampled and smoothed through pre-processing stage. In verification stage, the difference between reference and testing signatures will be calculated based on the proposed thresholded standard deviation method. A probabilistic acceptance model has been designed to enhance the performance of the verification system. The proposed algorithm has reported False Rejection Rate (FRR) of 14.8% and False Acceptance Rate (FAR) of 2.64%. Meanwhile, the classification rate of the system is around 97%.

Original languageEnglish
Pages (from-to)1320-1324
Number of pages5
JournalResearch Journal of Applied Sciences, Engineering and Technology
Issue number11
Publication statusPublished - 2011
Externally publishedYes


  • Dynamic
  • Signature verification
  • Standard deviation
  • Threshold and probabilistic model
  • Velocity

ASJC Scopus subject areas

  • General Computer Science
  • General Engineering


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