Publikation

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.

Abstrakt

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