Document forgery detection using source printer identification: A comparative study of <scp>text‐dependent</scp> versus <scp>text‐independent</scp> analysis-Reference-Cited by-同舟云学术

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Document forgery detection using source printer identification: A comparative study of text‐dependent versus text‐independent analysis

Published:2022-05-12 Issue:8 Volume:39 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Bibi Maryam¹,Hamid Anmol¹,Moetesum Momina¹^ORCID,Siddiqi Imran¹

Affiliation:

1. Center of Excellence in Artificial Intelligence, Department of Computer Science Bahria University Islamabad Pakistan

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.13020

Reference52 articles.

1. Ahmed A. G. H. &Shafait F.(2014).Forgery detection based on intrinsic document contents. In2014 11th IAPR international workshop on document analysis systems(pp.252–256).

2. Development of a systematic computer vision-based method to analyse and compare images of false identity documents for forensic intelligence purposes–Part I: Acquisition, calibration and validation issues

3. Beekhof F. P. Koval O. Villan Sebastian R. F. Voloshynovskyy S. &Topak E.(2008).Document forensics based on steganographic anti‐counterfeiting markings and mobile architectures. InProceedings of the 1st international conference on forensic applications and techniques in telecommunications information and multimedia and workshop e‐forensics' 08.

4. Document Forgery Detection using Printer Source Identification—A Text-Independent Approach

5. Identifying documents printed by dot matrix computer printers

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