Image forgery detection review

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, f...

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Bibliographic Details
Published in:	2021 International Conference on Information Systems and Advanced Technologies (ICISAT) pp. 1 - 7
Main Authors:	Benhamza, Hiba, Djeffal, Abdelhamid, Cheddad, Abbas
Format:	Conference Proceeding
Language:	English
Published:	IEEE 27-12-2021
Subjects:	Copy-move forgery Digital image forgery Document forgery Fabrication Feature extraction Forgery forgery detection methods imitation Information systems Measurement Splicing Text analysis Training
Online Access:	Get full text
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Description
Summary:	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.
DOI:	10.1109/ICISAT54145.2021.9678207