Automatic Line Orientation Measurment for Questioned Document Examination

Joost van Beusekom; Faisal Shafait; Thomas Breuel

In: Zeno J. M. H. Geradts; Katrin Franke; Cor J. Veenman (Hrsg.). Proceedings of the 3rd International Workshop on Computational Forensics. International Workshop on Computational Forensics (IWCF-09), 3rd, August 13-14, Den Haag, Netherlands, Pages 165-173, ISBN 978-3-642-03520-3, Springer, 2009.


In questioned document examination many dierent problems arise: documents can be forged or altered, signatures can be counterfeited, etc. When experts attempt to identify such forgeries manually, they use among others lone orientation as a feature. This paper describes an automatic mean for measuring the line justification and helping the specialist to find suspicious lines. The goal is to use this method as one of several screening tools for scanning large document collections for the potential presence of forgeries.This method extracts the text-lines, measures their orientation angle and decides based on previously trained parameters about the validity of these measured angles.

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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence