An Application of the 2D Gaussian Filter for Enhancing Feature Extraction in Off-line Signature Verification

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Title An Application of the 2D Gaussian Filter for Enhancing Feature Extraction in Off-line Signature Verification
Author Nguyen, Vu Minh; Blumenstein, Michael Myer
Publication Title Proceedings of the 11th International Conference on Document Analysis and Recognition (ICDAR 2011)
Editor Kaizhu Huang, Di Wen
Year Published 2011
Place of publication United States
Publisher IEEE
Abstract Abstract—Similar to many other pattern recognition problems, feature extraction contributes significantly to the overall performance of an off-line signature verification system. To be successful, a feature extraction technique must be tolerant to different types of variation whilst preserving essential information of input patterns. In this paper, we describe a grid-based feature extraction technique that utilises directional information extracted from the signature contour, i.e. the chain code histogram. Our experimental results for signature verification indicated that, by applying a suitable 2D Gaussian filter on the matrices containing the chain code histograms, an average error rate (AER) of 13.90% can be obtained whilst maintaining the false acceptance rate (FAR) for random forgeries as low as 0.02%. These figures are comparable or better than those reported by other state of the art feature extraction techniques such as the Modified Direction Feature (MDF) and the Gradient feature.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.icdar2011.org/EN/volumn/home.shtml
ISBN 1520-5363
Conference name ICDAR 2011
Location Beijing, China
Date From 2011-09-18
Date To 2011-09-21
URI http://hdl.handle.net/10072/42407
Date Accessioned 2011-11-08; 2012-02-08T01:47:57Z
Date Available 2012-02-08T01:47:57Z
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Artificial Intelligence and Image Processing; Image Processing; Pattern Recognition and Data Mining
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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