Advertisement

Computer-Aided Identification of Handwriting

Conference paper
  • 99 Downloads

Abstract

The Bundeskriminalamt (BKA) has for some time had a handwriting identification unit to assist it with identifying criminals. The handwriting samples collected for this purpose are presently being studied manually by means of the MALLY system, a classification system developed by the unit This is a formidable task in terms of Mai visual comparison. The FISH system (Forensic Information System for Handwriting) was developed to facilitate handling of the constantly growing collection. FISH is used for all of the tasks that accrue in the handwriting identification unit The quality of processing is dependent on high speed and an improved selection of handwriting features.

Keywords

Autocorrelation Function Recognition Rate Black Pixel Individual Letter NATO Advance Study Institute 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Broß F (1986) Projekt FISH. Untersuchungen zur Schreibererkennung mit interaktiv gemessenen graphischen Merkmalen. Wiesbaden (Bundeskriminalamt, Technischer Bericht; unpublished paper)Google Scholar
  2. Klement V (1981) Forensic writer recognition. In: Simon JC, Haralick RM (eds) Digital image processing. Proceedings of the NATO Advanced Study Institute held at Bonas, France, June 23–July 4, 1980. Dordrecht, pp 519–524 (NATO Advanced Study Institutes Series. Series C, Mathematical and Physical Sciences, vol 77)Google Scholar
  3. Klement V (1984) Rechnergestützter Handschriftenvergleich als Beispiel für die Anwendung der digitalen Bildverarbeitung und Mustererkennung in der Kriminaltechnik. In: Kube E, Störzer HU, Brugger S (eds) Wissenschaftliche Kriminalistik. Grundlagen und Perspektiven. Teilband 2: Theorie, Lehre und Weiterentwicklung. Wiesbaden, pp 171–200 (BKA-Forschungsreihe, vol 16/2)Google Scholar
  4. Kuckuck W (1979) Schreibererkennung durch Spektralanalyse. In: Foith JP (ed) Angewandte Szenenanalyse. DAGM Symposium, Karlsruhe, October 10–12, 1979. Berlin Heidelberg New York, pp 190–196 (Informatik-Fachberichte, vol 20)Google Scholar
  5. Naske R-D (1983) Verfahren zur textbezogenen Schreibererkennung aus dem Handschriftenbild von Einzelbuchstaben. Dissertation. KarlsruheGoogle Scholar
  6. Rieger B (1979) Skelettierungsverfahren für die automatische Schreibererkennung. In: Foith JP (ed) Angewandte Szenenalyse. DAGM Symposium, Karlsruhe, October 10–12,1979. Berlin Heidelberg New York, pp 168–179 (Informatik-Fachberichte, vol 20)Google Scholar
  7. Steinke K-H (1981) Entwicklung von Mustererkennungsverfahren zur textunabhängigen Analyse von Handschriftenbildern. Dissertation. AachenGoogle Scholar
  8. Steinke K (1984) Writer recognition by special characters. In: Levialdi S (ed) Digital image analysis. Marshfield, Ma., pp 364–372Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

There are no affiliations available

Personalised recommendations