BRISK and SIFT-based Copy-Move Forgery Detection of Digital Images

Uma, Sundar; Sathya, P. D.

:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

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ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8

FEATURE PEER-REVIEWED ARTICLE

Vol.12(3) (2021)

BRISK and SIFT-based Copy-Move Forgery Detection of Digital Images

Sundar Uma, and P. D. Sathya Sakthivel(Department of Electronics and Communication Engineering, Annamalai University, Tamil Nadu-608002, INDIA).

Disciplinary: Electronics and Digital Engineering.
➤ FullText

doi: 10.14456/ITJEMAST.2021.50

Keywords: Copy-move forgery (CMF); BRISK algorithm; K-means clustering; Key-point technique; Image forgery; SIFT algorithm; CMFD.

Abstract
This paper presents a simple method for copy-move forgery detection (CMFD) of digital images with a view of enhancing the computational speed. The method employs BRISK, which is based on the FAST corner detector, for identifying the key points (KPs), and then uses SIFT for evaluating the feature descriptors at the identified KPs. It also applies wavelet transform for feature reduction and K-means clustering for transforming from feature space into cluster space. It eliminates false matches by using RANSAC. The paper exhibits the superior performances of the developed method over existing methods by presenting results on 500 digital images.
Paper ID: 12A3H

Cite this article:

Uma, S., and Sakthivel, P. D. S. (2021). BRISK and SIFT-based Copy-Move Forgery Detection of Digital Images. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 12(3), 12A3H, 1-13. http://doi.org/10.14456/ITJEMAST.2021.50

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