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Approaches for Forgery Detection of Documents in Digital Forensics: A Review

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Emerging Technology Trends in Internet of Things and Computing (TIOTC 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1548))

Abstract

The current technological era is witnessing a great revolution in the development of online applications. They are used for a variety of purposes when it comes to processing documents. A vast amount of online software applications is currently available for professionally editing documents. One of their most dangerous aspects is the manipulation/imitating of original documents. In this context, digital forensics science provides a lot of tools for examining documents from being forged or counterfeited. Moreover, most of the works in the literature focused on a particular aspect of digital forensics. However, this work provides a comprehensive review on the three main aspects of digital forensics; namely, image-processing-based, video-processing-based, and spectroscopy-based detection techniques. The review also provides the most recent updates in these aspects when detecting forged or counterfeited documents, which is of interest to the research community. Finally, this work can be considered a reliable guide for fresh digital forensics researchers.

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Acknowledgment

We would like to thank the Computer Science Dept. at the University of Mosul/Iraq for all the support provided to achieve this research. We also would like to thank the Iraqi Ministry of Interior for all the support in our project.

Author information

Authors and Affiliations

  1. Computer Science Department, University of Mosul, Mosul, 41002, Iraq

    Alaa Amjed & Basim Mahmood

  2. BioComplex Lab, Exeter, UK

    Basim Mahmood

  3. Ministry of Interior, Baghdad, Iraq

    Khalid A. K. Almukhtar

Authors
  1. Alaa Amjed
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  2. Basim Mahmood
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  3. Khalid A. K. Almukhtar
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Corresponding author

Correspondence to Alaa Amjed .

Editor information

Editors and Affiliations

  1. Khalifa University, Abu Dhabi, United Arab Emirates

    Panos Liatsis

  2. Liverpool John Moores University, Liverpool, UK

    Abir Hussain

  3. Tun Hussein Onn University of Malaysia, Batu Pahat, Malaysia

    Salama A. Mostafa

  4. Liverpool John Moores University, Liverpool, UK

    Dhiya Al-Jumeily

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Amjed, A., Mahmood, B., Almukhtar, K.A.K. (2022). Approaches for Forgery Detection of Documents in Digital Forensics: A Review. In: Liatsis, P., Hussain, A., Mostafa, S.A., Al-Jumeily, D. (eds) Emerging Technology Trends in Internet of Things and Computing. TIOTC 2021. Communications in Computer and Information Science, vol 1548. Springer, Cham. https://doi.org/10.1007/978-3-030-97255-4_25

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  • DOI: https://doi.org/10.1007/978-3-030-97255-4_25

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-97255-4

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