American Journal of Information Science and Computer Engineering
Articles Information
American Journal of Information Science and Computer Engineering, Vol.1, No.3, Sep. 2015, Pub. Date: Aug. 17, 2015
Scanned Documents Forgery Detection Based on Source Scanner Identification
Pages: 113-116 Views: 1129 Downloads: 789
Authors
[01] Ramzi M. Abed, Faculty of IT, Islamic University of Gaza, Gaza, Palestine.
Abstract
With the increasing number of digital image editing tools, it becomes an easy task to modify any digital image by any user with any level of experience in image editing. One important type of digital images is the scanned documents as they can be used as legal evidence. Therefore, some legal issues may arise when a tampered scanned document cannot be distinguished from an authentic one. In this work we are proposing a novel technique to detect scanned documents tampering, this proposed technique is based on the used scanner identification using features intrinsic to a data-generating sensor.
Keywords
Forgery, Tampering, Graylevel Co-occurrence Matrix, GLCM, Image Forensics
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