Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/64822
Title: A novel dual-threshold SIFT-based copy-move forgery detection
Authors: Luan, H
Law, NF 
Keywords: Copy moveforgery detection
Dual-Threshold matching method
SIFT
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016, Jeju, South Korea, 13-16 December 2016, article number 7820872 How to cite?
Abstract: Given the large number of digital images in Internet and social networks, verification of image integrity is crucial. Copy-move forgery is one of the most common types of forgery. Through this kind of forgery, undesired objects are hidden or desired objects are duplicated so that the meaning in the images is altered. This paper proposed a robust matching method for SIFT-based copy-move forgery detection. The use of dual thresholds can reliably detect multiple copied and moved regions in an image. Experimental results have shown that the proposed method is robust towards occlusions and different degrees of geometric manipulations such as rotation and scaling.
URI: http://hdl.handle.net/10397/64822
ISBN: 9789881476821
DOI: 10.1109/APSIPA.2016.7820872
Appears in Collections:Conference Paper

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