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

Horst Bunke, János Csirik, Zoltán Gingl, Erika Griechisch

Research output: Conference contribution

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 16th Iberoamerican Congress, CIARP 2011, Proceedings
Pages499-506
Number of pages8
DOIs
Publication statusPublished - nov. 28 2011
Event16th Iberoamerican Congress on Pattern Recognition, CIARP 2011 - Pucon, Chile
Duration: nov. 15 2011nov. 18 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7042 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th Iberoamerican Congress on Pattern Recognition, CIARP 2011
CountryChile
CityPucon
Period11/15/1111/18/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Bunke, H., Csirik, J., Gingl, Z., & Griechisch, E. (2011). Online signature verification method based on the acceleration signals of handwriting samples. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 16th Iberoamerican Congress, CIARP 2011, Proceedings (pp. 499-506). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7042 LNCS). https://doi.org/10.1007/978-3-642-25085-9_59