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Velocity and pressure-based partitions of horizontal and vertical trajectories for on-line signature verification
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
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2010 (English)In: Pattern Recognition, ISSN 0031-3203, E-ISSN 1873-5142, Vol. 43, no 8, 2817-2832 p.Article in journal (Refereed) Published
Abstract [en]

In general, shape of an on-line signature is used as a single discriminating feature. Sometimes shape of signature is used alone for verification purposes and sometimes it is used in combination with some other dynamic features such as velocity, pressure and acceleration. The shape of an on-line signature is basically formed due to the wrist and fingers movements where the wrist movement is represented by the horizontal trajectory and the movement of the fingers is represented by vertical trajectory. As the on-line signature is formed due to the combination of two movements that are essentially independent of each other, it will be more effective to use them as two separate discriminating features. Based on this observation, we propose to use these trajectories in isolation by first decomposing the pressure and velocity profiles into two partitions and then extracting the underlying horizontal and vertical trajectories. So the overall process can be thought as the process which exploits the inter-feature dependencies by decomposing signature trajectories depending upon pressure and velocity information and performs verification on each partition separately. As a result, we are able to extract eight discriminating features and among them the most stable discriminating feature is used in verification process. Further Principal Component Analysis (PCA) has been proposed to make the signatures rotation invariant. Experimental results demonstrate superiority of our approach in on-line signature verification in comparison with other techniques.

Place, publisher, year, edition, pages
2010. Vol. 43, no 8, 2817-2832 p.
Keyword [en]
Signature verification, Horizontal and vertical trajectories, Velocity profile, Pressure profile, Partitions, Discriminating features
National Category
Signal Processing
URN: urn:nbn:se:uu:diva-136078DOI: 10.1016/j.patcog.2010.02.011ISI: 000278186700018OAI: oai:DiVA.org:uu-136078DiVA: diva2:376161
Available from: 2010-12-10 Created: 2010-12-09 Last updated: 2011-10-06Bibliographically approved

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Niazi, M Khalid Khan
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Centre for Image AnalysisComputerized Image Analysis
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