Comparison of matching methods for copy-move image forgery detection

Osamah M. Al-Qershi; Bee Ee Khoo

doi:10.1007/978-981-10-1721-6_23

Comparison of matching methods for copy-move image forgery detection

Osamah M. Al-Qershi, Bee Ee Khoo

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

6 Citations (Scopus)

Abstract

Copy-Move is one of the most common image forgery types, where a region of an image is copied and pasted into another location of the same image. Such a forgery is simple to achieve but hard to be detected as the pasted region shares the same characteristics with the image. Although plenty of algorithms have been proposed to tackle the copy-move detection problem, those algorithms differ in two things; matching method and type of features. In this paper, we focus on analyzing and comparing four matching methods in terms of accuracy and robustness against different image processing operations. Such analysis and comparison provide indispensable information for the design of new accurate and reliable copy-move detection techniques.

Original language	English
Title of host publication	9th International Conference on Robotic, Vision, Signal Processing and Power Applications
Subtitle of host publication	Empowering Research and Innovation
Editors	Haidi Ibrahim, Shahid Iqbal, Soo Siang Teoh, Mohd Tafir Mustaffa
Place of Publication	Singapore Singapore
Publisher	Springer
Pages	209-218
Number of pages	10
ISBN (Electronic)	9789811017216
ISBN (Print)	9789811017193
DOIs	https://doi.org/10.1007/978-981-10-1721-6_23
Publication status	Published - 2016
Externally published	Yes
Event	International Conference on Robotics, Vision, Signal Processing and Power Applications 2016 - Penang, Malaysia Duration: 2 Feb 2016 → 3 Feb 2016 Conference number: 9th https://web.archive.org/web/20160120161759/http://rovisp.eng.usm.my/

Publication series

Name	Lecture Notes in Electrical Engineering
Publisher	Sprringer
Volume	398
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Robotics, Vision, Signal Processing and Power Applications 2016
Abbreviated title	ROVISP 2016
Country/Territory	Malaysia
City	Penang
Period	2/02/16 → 3/02/16
Internet address	https://web.archive.org/web/20160120161759/http://rovisp.eng.usm.my/

Keywords

Copy-move
Digital image forensics
Image forgery

Access to Document

10.1007/978-981-10-1721-6_23

Cite this

Al-Qershi, O. M., & Khoo, B. E. (2016). Comparison of matching methods for copy-move image forgery detection. In H. Ibrahim, S. Iqbal, S. S. Teoh, & M. T. Mustaffa (Eds.), 9th International Conference on Robotic, Vision, Signal Processing and Power Applications: Empowering Research and Innovation (pp. 209-218). (Lecture Notes in Electrical Engineering; Vol. 398). Springer. https://doi.org/10.1007/978-981-10-1721-6_23

Al-Qershi, Osamah M. ; Khoo, Bee Ee. / Comparison of matching methods for copy-move image forgery detection. 9th International Conference on Robotic, Vision, Signal Processing and Power Applications: Empowering Research and Innovation. editor / Haidi Ibrahim ; Shahid Iqbal ; Soo Siang Teoh ; Mohd Tafir Mustaffa. Singapore Singapore : Springer, 2016. pp. 209-218 (Lecture Notes in Electrical Engineering).

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title = "Comparison of matching methods for copy-move image forgery detection",

abstract = "Copy-Move is one of the most common image forgery types, where a region of an image is copied and pasted into another location of the same image. Such a forgery is simple to achieve but hard to be detected as the pasted region shares the same characteristics with the image. Although plenty of algorithms have been proposed to tackle the copy-move detection problem, those algorithms differ in two things; matching method and type of features. In this paper, we focus on analyzing and comparing four matching methods in terms of accuracy and robustness against different image processing operations. Such analysis and comparison provide indispensable information for the design of new accurate and reliable copy-move detection techniques.",

keywords = "Copy-move, Digital image forensics, Image forgery",

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booktitle = "9th International Conference on Robotic, Vision, Signal Processing and Power Applications",

note = "International Conference on Robotics, Vision, Signal Processing and Power Applications 2016, ROVISP 2016 ; Conference date: 02-02-2016 Through 03-02-2016",

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Al-Qershi, OM & Khoo, BE 2016, Comparison of matching methods for copy-move image forgery detection. in H Ibrahim, S Iqbal, SS Teoh & MT Mustaffa (eds), 9th International Conference on Robotic, Vision, Signal Processing and Power Applications: Empowering Research and Innovation. Lecture Notes in Electrical Engineering, vol. 398, Springer, Singapore Singapore, pp. 209-218, International Conference on Robotics, Vision, Signal Processing and Power Applications 2016, Penang, Malaysia, 2/02/16. https://doi.org/10.1007/978-981-10-1721-6_23

Comparison of matching methods for copy-move image forgery detection. / Al-Qershi, Osamah M.; Khoo, Bee Ee.
9th International Conference on Robotic, Vision, Signal Processing and Power Applications: Empowering Research and Innovation. ed. / Haidi Ibrahim; Shahid Iqbal; Soo Siang Teoh; Mohd Tafir Mustaffa. Singapore Singapore: Springer, 2016. p. 209-218 (Lecture Notes in Electrical Engineering; Vol. 398).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Comparison of matching methods for copy-move image forgery detection

AU - Al-Qershi, Osamah M.

AU - Khoo, Bee Ee

N1 - Conference code: 9th

PY - 2016

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N2 - Copy-Move is one of the most common image forgery types, where a region of an image is copied and pasted into another location of the same image. Such a forgery is simple to achieve but hard to be detected as the pasted region shares the same characteristics with the image. Although plenty of algorithms have been proposed to tackle the copy-move detection problem, those algorithms differ in two things; matching method and type of features. In this paper, we focus on analyzing and comparing four matching methods in terms of accuracy and robustness against different image processing operations. Such analysis and comparison provide indispensable information for the design of new accurate and reliable copy-move detection techniques.

AB - Copy-Move is one of the most common image forgery types, where a region of an image is copied and pasted into another location of the same image. Such a forgery is simple to achieve but hard to be detected as the pasted region shares the same characteristics with the image. Although plenty of algorithms have been proposed to tackle the copy-move detection problem, those algorithms differ in two things; matching method and type of features. In this paper, we focus on analyzing and comparing four matching methods in terms of accuracy and robustness against different image processing operations. Such analysis and comparison provide indispensable information for the design of new accurate and reliable copy-move detection techniques.

KW - Copy-move

KW - Digital image forensics

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A2 - Ibrahim, Haidi

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Al-Qershi OM, Khoo BE. Comparison of matching methods for copy-move image forgery detection. In Ibrahim H, Iqbal S, Teoh SS, Mustaffa MT, editors, 9th International Conference on Robotic, Vision, Signal Processing and Power Applications: Empowering Research and Innovation. Singapore Singapore: Springer. 2016. p. 209-218. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-10-1721-6_23

Comparison of matching methods for copy-move image forgery detection

Abstract

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Keywords

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