Online signature verification method based on the acceleration signals of handwriting samples

Authors:
Horst Bunke;János Csirik;Zoltán Gingl;Erika Griechisch
Affiliations:
Institute of Informatics and Applied Mathematics, Bern, Switzerland;Department of Informatics, University of Szeged, Szeged, Hungary;Department of Informatics, University of Szeged, Szeged, Hungary;Department of Informatics, University of Szeged, Szeged, Hungary
Venue:
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2011

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Abstract

Here we present a method for online signature verification treated as a two-class pattern recognition problem. The method is based on the acceleration signals obtained from signing sessions using a special pen device. We applied a DTW (dynamic time warping) metric to measure any dissimilarity between the acceleration signals and represented our results in terms of a distance metric.