A novel dual-threshold SIFT-based copy-move forgery detection

Haoqing Luan; Ngai Fong Law

doi:10.1109/APSIPA.2016.7820872

A novel dual-threshold SIFT-based copy-move forgery detection

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016
Publisher	IEEE
ISBN (Electronic)	9789881476821
DOIs	https://doi.org/10.1109/APSIPA.2016.7820872
Publication status	Published - 17 Jan 2017
Event	2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016 - Jeju, Korea, Republic of Duration: 13 Dec 2016 → 16 Dec 2016

Conference

Conference	2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016
Country/Territory	Korea, Republic of
City	Jeju
Period	13/12/16 → 16/12/16

Keywords

Copy moveforgery detection
Dual-Threshold matching method
SIFT

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Information Systems
Signal Processing

More information

10.1109/APSIPA.2016.7820872

Cite this

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title = "A novel dual-threshold SIFT-based copy-move forgery detection",

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.",

keywords = "Copy moveforgery detection, Dual-Threshold matching method, SIFT",

author = "Haoqing Luan and Law, {Ngai Fong}",

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language = "English",

booktitle = "2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016",

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Luan, H & Law, NF 2017, A novel dual-threshold SIFT-based copy-move forgery detection. in 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016., 7820872, IEEE, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016, Jeju, Korea, Republic of, 13/12/16. https://doi.org/10.1109/APSIPA.2016.7820872

A novel dual-threshold SIFT-based copy-move forgery detection. / Luan, Haoqing; Law, Ngai Fong.
2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016. IEEE, 2017. 7820872.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

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AU - Luan, Haoqing

AU - Law, Ngai Fong

PY - 2017/1/17

Y1 - 2017/1/17

N2 - 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.

AB - 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.

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DO - 10.1109/APSIPA.2016.7820872

M3 - Conference article published in proceeding or book

BT - 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016

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A novel dual-threshold SIFT-based copy-move forgery detection

Abstract

Conference

Keywords

ASJC Scopus subject areas

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