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Abstract
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Article Information:
Probabilistic Model for Dynamic Signature Verification System
Chai Tong Yuen, Wai Loon Lim, ChingSeong Tan, Bok-Min Goi, Xin Wang and Jee-Hou Ho
Corresponding Author: Chai Tong Yuen
Submitted: 2011 August, 26
Accepted: 2011 September, 17
Published: 2011 November, 25 |
Abstract:
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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%.
Key words: Dynamic, signature verification, standard deviation, threshold and probabilistic model, velocity, ,
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Cite this Reference:
Chai Tong Yuen, Wai Loon Lim, ChingSeong Tan, Bok-Min Goi, Xin Wang and Jee-Hou Ho, . Probabilistic Model for Dynamic Signature Verification System. Research Journal of Applied Sciences, Engineering and Technology, (11): 1318-1322.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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