Scanner Model Identification of Official Documents Using Noise Parameters Estimation in the Wavelet Domain

  • Chaima Ben RabahEmail author
  • Gouenou Coatrieux
  • Riadh Abdelfattah
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11182)


In this article, we propose a novel approach for discerning which scanner has been used to scan a particular document. Its originality relates to a signature extracted in the wavelet domain of the digitized documents where the acquisition noise specific to a scanner is located in the first subbands of details. This signature is an estimate of the statistical noise model which is modeled by a General Gaussian distribution (GGD) and whose parameters are estimated in the HH subband by maximizing the likelihood function. These parameters constitute a unique identifier for a scanner. For a given image, we propose to identify its origin by minimizing the Kullback-Leibler divergence between its signature and those of known scanners. Experiments conducted on a real scanned-image database, developed for the validation of the work presented in this paper, show that the proposed approach achieves high detection performance. Total of 1000 images were used in experiments.


Digitized documents Scanner identification Image forensics Authenticity Wavelet transform 



This work was financially supported by the “PHC Utique” program of the French Ministry of Foreign Affairs and Ministry of higher education and research and the Tunisian Ministry of higher education and scientific research in the CMCU project number 17G1405.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Chaima Ben Rabah
    • 1
    • 2
    Email author
  • Gouenou Coatrieux
    • 2
  • Riadh Abdelfattah
    • 1
    • 2
  1. 1.COSIM LabUniversity of Carthage, Higher School of Communications of TunisArianaTunisia
  2. 2.LaTIM Inserm UMR1101, IMT Atlantique, Technopôle Brest-Iroise, CS 83818Brest Cedex 3France

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