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2024 | OriginalPaper | Buchkapitel

A Keypoint-Based Technique for Detecting the Copy Move Forgery in Digital Images

verfasst von : Kaleemur Rehman, Saiful Islam

Erschienen in: Micro-Electronics and Telecommunication Engineering

Verlag: Springer Nature Singapore

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Abstract

A decade of research has been conducted on detecting copy-move forgeries (CMFD). Technology has enabled the manipulation of images, once the most authentic source of information. This paper proposes a copy-move forgery detection algorithm based on fused features to address issues such as time complexity and difficulty detecting forgeries in smooth regions. To extract descriptive features, a low-contrast threshold was used in conjunction with three detection methods, including scale-invariant feature transform (SIF), speeded-up robust features (SURF), and accelerated KAZE (AKAZE). SURF and accelerated KAZE (AKAZE) are used in our keypoint-based CMFD technique. To detect manipulated regions efficiently, AKZAE, SURF, and SIFT can be used to extract major keypoints in smooth regions.

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Titel: A Keypoint-Based Technique for Detecting the Copy Move Forgery in Digital Images
verfasst von: Kaleemur Rehman
Saiful Islam
Verlag: Springer Nature Singapore
Buch: Micro-Electronics and Telecommunication Engineering
Print ISBN: 978-981-9995-61-5

Electronic ISBN: 978-981-9995-62-2

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-981-99-9562-2_66

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