Document Signature Using Intrinsic Features for Counterfeit Detection

Joost van Beusekom, Faisal Shafait, Thomas Breuel

In: S.N. Srihari , K. Franke (Hrsg.). Proceedings of the International Workshop on Computational Forensics. International Workshop on Computational Forensics (IWCF-08) 2nd August 7-8 Washington DC United States Seiten 47-57 Lecture Notes in Computer Science (LNCS) 5138 ISBN 978-3-540-85302-2 Springer 8/2008.


Document security does not only play an important role in specific domains e.g. passports, checks and degrees but also in every day documents e.g. bills and vouchers. Using special high-security features for this class of documents is not feasible due to the cost and the complexity of these methods. We present an approach for detecting falsified docu- ments using a document signature obtained from its intrinsic features: bounding boxes of connected components are used as a signature. Using the model signature learned from a set of original bills, our approach can identify documents whose signature significantly differs from the model signature. Our approach uses globally optimal document alignment to build a model signature that can be used to compute the probability of a new document being an original one. Preliminary evaluation shows that the method is able to reliably detect faked documents.

Weitere Links

beusekom--document-signature-using-intrinsic-features-for-counterfeit-detection--IWCF--2008.pdf (pdf, 2 MB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence