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Novel Feature Extraction Technique For Off-Line Signature Verification System

Daramola, S. A. and Ibiyemi, SAMUEL (2010) Novel Feature Extraction Technique For Off-Line Signature Verification System. International Journal of Engineering Science and Technology, 2 (7). pp. 3137-3143. ISSN 0975-5462

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Abstract

Feature extraction stage is the most vital and difficult stage of any off-line signature verification system. The accuracy of the system depends mainly on the effectiveness of the signature features use in the system. Inability to extract robust features from a static image of signature has been contributing to higher verification error-rates particularly for skilled forgeries. In this paper, we propose an off-line signature verification system that incorporates a novel feature extraction technique. Three new features are extracted from a static image of signatures using this technique. From the experimental results, the new features proved to be more robust than other related features used in the earlier systems. The proposed system has 1% error in rejecting skilled forgeries and 0.5% error in accepting genuine signatures. These results are better in comparison with the results obtained from previous systems.

Item Type: Article
Uncontrolled Keywords: Off-line Signature Verification, Feature Extraction, Euclidean distance model.
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Hannah Akinwumi
Date Deposited: 03 Mar 2016 11:35
Last Modified: 03 Mar 2016 11:35
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/6335

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