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2018 | OriginalPaper | Buchkapitel

Digital Image Forensics Technique for Copy-Move Forgery Detection Using DoG and ORB

verfasst von : Patrick Niyishaka, Chakravarthy Bhagvati

Erschienen in: Computer Vision and Graphics

Verlag: Springer International Publishing

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Abstract

Copy–Move forgery or Cloning is image tampering or alteration by copying one area in an image and pasting it into another area of the same image. Due to the availability of powerful image editing software, the process of malicious manipulation, editing and creating fake images has been tremendously simple. Thus, there is a need of robust PBIF (Passive–Blind Image Forensics) techniques to validate the authenticity of digital images. In this paper, CMFD (Copy–Move Forgery Detection) using DoG (Difference of Gaussian) blob detector to detect regions in image, with rotation invariant and resistant to noise feature detection technique called ORB (Oriented Fast and Rotated Brief) is implemented, evaluated on different standard datasets and experimental results are presented.

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Vorheriges Kapitel Barcoding in Biometrics and Its Development

Nächstes Kapitel Does the Research Question Structure Impact the Attention Model? User Study Experiment

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Titel: Digital Image Forensics Technique for Copy-Move Forgery Detection Using DoG and ORB
verfasst von: Patrick Niyishaka
Chakravarthy Bhagvati
Verlag: Springer International Publishing
Buch: Computer Vision and Graphics
Print ISBN: 978-3-030-00691-4

Electronic ISBN: 978-3-030-00692-1

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-030-00692-1_41

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