Document Signature Using Intrinsic Features for Counterfeit Detection

Joost van Beusekom, Faisal Shafait, Thomas Breuel
In: S.N. Srihari, K. Franke (eds.) Proceedings of the International Workshop on Computational Forensics volume 5138, Lecture Notes in Computer Science, Pages 47-57, Washington, DC, USA, Springer, 8/2008

Abstract:

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.

Files:

  http://www.springerlink.com/content/0818873828700q7g/
  beusekom--document-signature-using-intrinsic-features-for-counterfeit-detection--IWCF--2008.pdf

BibTex:

@inproceedings{ BEUS2008,
	Title = {Document Signature Using Intrinsic Features for Counterfeit Detection},
	Author = {Joost van Beusekom and Faisal Shafait and Thomas Breuel},
	Editor = {S.N. Srihari, K. Franke},
	BookTitle = {Proceedings of the International Workshop on Computational Forensics},
	Month = {8},
	Year = {2008},
	Series = {Lecture Notes in Computer Science},
	Publisher = {Springer},
	Publisher = {5138},
	Pages = {47-57}
}

     
Last modified:: 30.08.2016