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Automatic Evaluation of Stroke Slope

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Biometrics and Identity Management (BioID 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5372))

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Abstract

An approach for the evaluation of the average slope of the straight line strokes in signatures and handwritten text is described. It is based on the properties of the Fourier Transform which allow accumulating energy of pixels lying on straight lines of same slope alongside a single straight line in the frequency domain. The slope of the latter determines straightforwardly the stroke slope since both slopes differ in π/2. The approach does not require image binarization.

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References

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Author information

Authors and Affiliations

  1. Institute of Information Technologies, 2, Acad. G. Bonchev Str., 1113, Sofia, Bulgaria

    Georgi Gluhchev

  2. Faculty of Communication Technologies, Technical University, 8, Kl. Ohridski, 1000, Sofia, Bulgaria

    Ognian Boumbarov

Authors
  1. Georgi Gluhchev
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  2. Ognian Boumbarov
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Editor information

Editors and Affiliations

  1. CWI/Fontys, 5600 AH, Eindhoven, The Netherlands

    Ben Schouten

  2. Roskilde University, 4000, Roskilde, Denmark

    Niels Christian Juul

  3. Swiss Federal Institute of Technology Lausanne (EPFL), 1015, Lausanne, Switzerland

    Andrzej Drygajlo

  4. University of Sassari, 07041, Alghero, Italy

    Massimo Tistarelli

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© 2008 Springer-Verlag Berlin Heidelberg

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Gluhchev, G., Boumbarov, O. (2008). Automatic Evaluation of Stroke Slope. In: Schouten, B., Juul, N.C., Drygajlo, A., Tistarelli, M. (eds) Biometrics and Identity Management. BioID 2008. Lecture Notes in Computer Science, vol 5372. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89991-4_21

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  • DOI: https://doi.org/10.1007/978-3-540-89991-4_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89990-7

  • Online ISBN: 978-3-540-89991-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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