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Image forgery detection review
Mohamed Khider University, DZA.
Mohamed Khider University, DZA.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0002-4390-411X
2021 (English)In: Proceedings - 2021 International Conference on Information Systems and Advanced Technologies, ICISAT 2021, Institute of Electrical and Electronics Engineers Inc. , 2021Conference paper, Published paper (Refereed)
Abstract [en]

With the wide spread of digital document use in administrations, fabrication and use of forged documents have become a serious problem. This paper presents a study and classification of the most important works on image and document forgery detection. The classification is based on documents type, forgery type, detection method, validation dataset, evaluation metrics and obtained results. Most of existing forgery detection works are dealing with images and few of them analyze administrative documents and go deeper to analyze their contents. © 2021 IEEE.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2021.
Keywords [en]
Copy-move forgery, Digital image forgery, Document forgery, forgery detection methods, imitation, Splicing, Computer crime, Information retrieval systems, Copy-move forgeries, Detection methods, Digital image, Forgery detection method, Forgery detections, Image forgery, Classification (of information)
National Category
Computer Sciences Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:bth-22737DOI: 10.1109/ICISAT54145.2021.9678207Scopus ID: 2-s2.0-85125318953ISBN: 9781665478243 (print)OAI: oai:DiVA.org:bth-22737DiVA, id: diva2:1643711
Conference
11th International Conference on Information Systems and Advanced Technologies, ICISAT 2021, Virtual, Online, 27 December 2021 through 28 December 2021
Note

open access

Available from: 2022-03-10 Created: 2022-03-10 Last updated: 2022-03-15Bibliographically approved

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fulltext(853 kB)3342 downloads
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Cheddad, Abbas

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
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