Forgery detection based on intrinsic document contents

A.G.H. Ahmed, Faisal Shafait

    Research output: Chapter in Book/Conference paperConference paperpeer-review

    27 Citations (Scopus)


    Nowadays, Document forgery detection is becoming increasingly important as forgery techniques are becoming available even to untrained users. Hence, documents that do not contain any extrinsic security features (e.g. invoices) have become easier to forge. We previously presented a method to detect manipulated documents based on distortions introduced during the forgery creation process. In this paper, several approaches are explored to improve accuracy and time taken to detect forgeries based on document distortions. The main idea behind the presented approaches is to automatically identify which parts of a document belong to the template (and hence would remain static across different documents originating from the same source) and then detect distortions in those parts only. An improvement up to 29% in accuracy of forgery detection is observed compared to our previous work. Furthermore, we also present an approximation of the original method that results in a reduction in run time of the method by several orders of magnitude, while having only a marginal reduction in its accuracy. © 2014 IEEE.
    Original languageEnglish
    Title of host publicationProceedings - 11th IAPR International Workshop on Document Analysis Systems, DAS 2014
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    ISBN (Print)9781479932436
    Publication statusPublished - 2014
    Event11th IAPR International Workshop on Document Analysis Systems - France, Tours, France
    Duration: 7 Apr 201410 Apr 2014
    Conference number: 106059


    Workshop11th IAPR International Workshop on Document Analysis Systems


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