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Forensic Writer Recognition

  • Conference paper
Digital Image Processing

Part of the book series: NATO Advanced Study Institutes Series ((ASIC,volume 77))

Abstract

The application of image processing and pattern recognition techniques to support the comparative handwriting analysis is reported. The dominating problem proved to be the selection and formulation of suited task-oriented features. Adequate solutions have been obtained by heuristic approaches, they have to be verified statistically on large test data sets.

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References

  1. M.R. HECKER: Kriminalistik 25, pp. 316–318, 1971

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  2. W. KUCKUCK, B. RIEGER, K. STEINKE: Proc. 1979 Carnahan Conf. on Crime Countermeasures, pp. 57–64 Univ. of Kentucky, Lexington 1979

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  3. K. STEINKE: in “Angewandte Szenenanalyse”, ed. J.P. FOITH, pp. 180–189, Springer, Berlin 1979

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  4. V. KLEMENT, R.-D. NASKE, K. STEINKE: Third Int. Conf. on Security through Science and Engineering. Berlin 1980

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  5. R. MALLY: BKA-Schriftenreihe 2, pp. 145–150, 1955

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  6. K. FUKUNAGA: Introduction to Statistical Pattern Recognition, Academic Press, New York 1972

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Author information

Authors and Affiliations

  1. Forensic Science Institute, Bundeskriminalamt, Wiesbaden, Federal Republic of Germany

    Volker Klement

Authors
  1. Volker Klement
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Editor information

Editors and Affiliations

  1. Institut de Programmation, Université Pierre et Marie Curie, Paris VI, France

    J. C. Simon

  2. Virginia Polytechnic Institute and State University, Blacksburg, USA

    R. M. Haralick

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© 1981 D. Reidel Publishing Company

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Cite this paper

Klement, V. (1981). Forensic Writer Recognition. In: Simon, J.C., Haralick, R.M. (eds) Digital Image Processing. NATO Advanced Study Institutes Series, vol 77. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-8543-8_27

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  • DOI: https://doi.org/10.1007/978-94-009-8543-8_27

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-009-8545-2

  • Online ISBN: 978-94-009-8543-8

  • eBook Packages: Springer Book Archive

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