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.
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Bunke, H., Csirik, J., Gingl, Z., Griechisch, E. (2011). Online Signature Verification Method Based on the Acceleration Signals of Handwriting Samples. In: San Martin, C., Kim, SW. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2011. Lecture Notes in Computer Science, vol 7042. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25085-9_59
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DOI: https://doi.org/10.1007/978-3-642-25085-9_59
Publisher Name: Springer, Berlin, Heidelberg
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