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Stamp Verification for Automated Document Authentication

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Computational Forensics (IWCF 2012, IWCF 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8915))

Abstract

Stamps, along with signatures, can be considered as the most widely used extrinsic security feature in paper documents. In contrast to signatures, however, for stamps little work has been done to automatically verify their authenticity. In this paper, an approach for verification of color stamps is presented. We focus on photocopied stamps as non-genuine stamps. Our previously presented stamp detection method is improved and extended to verify that the stamp is genuine and not a copy. Using a variety of features, a classifier is trained that allows successful separation between genuine stamps and copied stamps. Sensitivity and specificity of up to \(95\,\%\) could be obtained on a data set that is publicly available.

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Notes

  1. 1.

    The data set is available at http://madm.dfki.de/downloads-ds-staver.

  2. 2.

    This project was partially funded by the Rheinland-Palatinate Foundation for Innovation, project AnDruDok (961-38 6261 / 1039).

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Author information

Authors and Affiliations

  1. Aarhus University, Aarhus, Denmark

    Barbora Micenková

  2. German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany

    Joost van Beusekom & Faisal Shafait

Authors
  1. Barbora Micenková
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  2. Joost van Beusekom
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  3. Faisal Shafait
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Corresponding author

Correspondence to Barbora Micenková .

Editor information

Editors and Affiliations

  1. Indian Statistical Institute, Kolkata, India

    Utpal Garain

  2. School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, Pakistan

    Faisal Shafait

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Micenková, B., van Beusekom, J., Shafait, F. (2015). Stamp Verification for Automated Document Authentication. In: Garain, U., Shafait, F. (eds) Computational Forensics. IWCF IWCF 2012 2014. Lecture Notes in Computer Science(), vol 8915. Springer, Cham. https://doi.org/10.1007/978-3-319-20125-2_11

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  • DOI: https://doi.org/10.1007/978-3-319-20125-2_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20124-5

  • Online ISBN: 978-3-319-20125-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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