Enhanced matching method for copy-move forgery detection by means of Zernike moments

Osamah M. Al-Qershi; Bee Ee Khoo

doi:10.1007/978-3-319-19321-2_37

Enhanced matching method for copy-move forgery detection by means of Zernike moments

Osamah M. Al-Qershi, Bee Ee Khoo

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

8 Citations (Scopus)

Abstract

Copy-move is one of the most popular and efficient operations to create image forgery. Many passive detection techniques have been proposed to detect such a forgery in digital images. The performance of the detection algorithms depends mainly on the features used for matching image blocks or keypoints and the matching method as well. Among the existing detection algorithms, those which employ Zernike moments as features provide remarkable detection accuracy. The robustness of Zernike moments comes from the fact that they are invariant to rotation and scaling. However, Zernike moments-based algorithms can be improved further by adopting more efficient matching methods. In this paper, we propose a new matching method in order to enhance the detection accuracy. Compared to the lexicographical sorting-based matching method, the proposed method improved the detection accuracy by 40 %.

Original language	English
Title of host publication	Digital-Forensics and Watermarking
Subtitle of host publication	13th International Workshop, IWDW 2014 Taipei, Taiwan, October 1–4, 2014 Revised Selected Papers
Editors	Yun-Qing Shi, Hyoung Joong Kim, Fernando Pérez-González, Ching-Nung Yang
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	485-497
Number of pages	13
ISBN (Electronic)	9783319193212
ISBN (Print)	9783319193205
DOIs	https://doi.org/10.1007/978-3-319-19321-2_37
Publication status	Published - 2015
Externally published	Yes
Event	International Workshop on Digital-Forensics and Watermarking 2014 - Taipei, Taiwan Duration: 1 Oct 2014 → 4 Oct 2014 Conference number: 13th https://web.archive.org/web/20140103103849/http://iwdw2014.ntcb.edu.tw/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9023
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Workshop on Digital-Forensics and Watermarking 2014
Abbreviated title	IWDW 2014
Country/Territory	Taiwan
City	Taipei
Period	1/10/14 → 4/10/14
Internet address	https://web.archive.org/web/20140103103849/http://iwdw2014.ntcb.edu.tw/

Keywords

Detection Accuracy
Image Block
Zernike Moment
Discrete Cosine Transform Coefficient
Matching Block

Access to Document

10.1007/978-3-319-19321-2_37

Cite this

Al-Qershi, O. M., & Khoo, B. E. (2015). Enhanced matching method for copy-move forgery detection by means of Zernike moments. In Y-Q. Shi, H. Joong Kim, F. Pérez-González, & C-N. Yang (Eds.), Digital-Forensics and Watermarking: 13th International Workshop, IWDW 2014 Taipei, Taiwan, October 1–4, 2014 Revised Selected Papers (pp. 485-497). (Lecture Notes in Computer Science; Vol. 9023). Springer. https://doi.org/10.1007/978-3-319-19321-2_37

Al-Qershi, Osamah M. ; Khoo, Bee Ee. / Enhanced matching method for copy-move forgery detection by means of Zernike moments. Digital-Forensics and Watermarking: 13th International Workshop, IWDW 2014 Taipei, Taiwan, October 1–4, 2014 Revised Selected Papers. editor / Yun-Qing Shi ; Hyoung Joong Kim ; Fernando Pérez-González ; Ching-Nung Yang. Cham Switzerland : Springer, 2015. pp. 485-497 (Lecture Notes in Computer Science).

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title = "Enhanced matching method for copy-move forgery detection by means of Zernike moments",

abstract = "Copy-move is one of the most popular and efficient operations to create image forgery. Many passive detection techniques have been proposed to detect such a forgery in digital images. The performance of the detection algorithms depends mainly on the features used for matching image blocks or keypoints and the matching method as well. Among the existing detection algorithms, those which employ Zernike moments as features provide remarkable detection accuracy. The robustness of Zernike moments comes from the fact that they are invariant to rotation and scaling. However, Zernike moments-based algorithms can be improved further by adopting more efficient matching methods. In this paper, we propose a new matching method in order to enhance the detection accuracy. Compared to the lexicographical sorting-based matching method, the proposed method improved the detection accuracy by 40 %.",

keywords = "Detection Accuracy, Image Block, Zernike Moment, Discrete Cosine Transform Coefficient, Matching Block",

author = "Al-Qershi, {Osamah M.} and Khoo, {Bee Ee}",

year = "2015",

doi = "10.1007/978-3-319-19321-2_37",

language = "English",

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series = "Lecture Notes in Computer Science",

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editor = "Yun-Qing Shi and {Joong Kim}, {Hyoung } and P{\'e}rez-Gonz{\'a}lez, {Fernando } and Yang, {Ching-Nung }",

booktitle = "Digital-Forensics and Watermarking",

note = "International Workshop on Digital-Forensics and Watermarking 2014, IWDW 2014 ; Conference date: 01-10-2014 Through 04-10-2014",

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Al-Qershi, OM & Khoo, BE 2015, Enhanced matching method for copy-move forgery detection by means of Zernike moments. in Y-Q Shi, H Joong Kim, F Pérez-González & C-N Yang (eds), Digital-Forensics and Watermarking: 13th International Workshop, IWDW 2014 Taipei, Taiwan, October 1–4, 2014 Revised Selected Papers. Lecture Notes in Computer Science, vol. 9023, Springer, Cham Switzerland, pp. 485-497, International Workshop on Digital-Forensics and Watermarking 2014, Taipei, Taiwan, 1/10/14. https://doi.org/10.1007/978-3-319-19321-2_37

Enhanced matching method for copy-move forgery detection by means of Zernike moments. / Al-Qershi, Osamah M.; Khoo, Bee Ee.
Digital-Forensics and Watermarking: 13th International Workshop, IWDW 2014 Taipei, Taiwan, October 1–4, 2014 Revised Selected Papers. ed. / Yun-Qing Shi; Hyoung Joong Kim; Fernando Pérez-González; Ching-Nung Yang. Cham Switzerland: Springer, 2015. p. 485-497 (Lecture Notes in Computer Science; Vol. 9023).

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

TY - GEN

T1 - Enhanced matching method for copy-move forgery detection by means of Zernike moments

AU - Al-Qershi, Osamah M.

AU - Khoo, Bee Ee

N1 - Conference code: 13th

PY - 2015

Y1 - 2015

N2 - Copy-move is one of the most popular and efficient operations to create image forgery. Many passive detection techniques have been proposed to detect such a forgery in digital images. The performance of the detection algorithms depends mainly on the features used for matching image blocks or keypoints and the matching method as well. Among the existing detection algorithms, those which employ Zernike moments as features provide remarkable detection accuracy. The robustness of Zernike moments comes from the fact that they are invariant to rotation and scaling. However, Zernike moments-based algorithms can be improved further by adopting more efficient matching methods. In this paper, we propose a new matching method in order to enhance the detection accuracy. Compared to the lexicographical sorting-based matching method, the proposed method improved the detection accuracy by 40 %.

AB - Copy-move is one of the most popular and efficient operations to create image forgery. Many passive detection techniques have been proposed to detect such a forgery in digital images. The performance of the detection algorithms depends mainly on the features used for matching image blocks or keypoints and the matching method as well. Among the existing detection algorithms, those which employ Zernike moments as features provide remarkable detection accuracy. The robustness of Zernike moments comes from the fact that they are invariant to rotation and scaling. However, Zernike moments-based algorithms can be improved further by adopting more efficient matching methods. In this paper, we propose a new matching method in order to enhance the detection accuracy. Compared to the lexicographical sorting-based matching method, the proposed method improved the detection accuracy by 40 %.

KW - Detection Accuracy

KW - Image Block

KW - Zernike Moment

KW - Discrete Cosine Transform Coefficient

KW - Matching Block

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DO - 10.1007/978-3-319-19321-2_37

M3 - Conference Paper

AN - SCOPUS:84983646564

SN - 9783319193205

T3 - Lecture Notes in Computer Science

SP - 485

EP - 497

BT - Digital-Forensics and Watermarking

A2 - Shi, Yun-Qing

A2 - Joong Kim, Hyoung

A2 - Pérez-González, Fernando

A2 - Yang, Ching-Nung

PB - Springer

CY - Cham Switzerland

T2 - International Workshop on Digital-Forensics and Watermarking 2014

Y2 - 1 October 2014 through 4 October 2014

ER -

Al-Qershi OM, Khoo BE. Enhanced matching method for copy-move forgery detection by means of Zernike moments. In Shi Y-Q, Joong Kim H, Pérez-González F, Yang C-N, editors, Digital-Forensics and Watermarking: 13th International Workshop, IWDW 2014 Taipei, Taiwan, October 1–4, 2014 Revised Selected Papers. Cham Switzerland: Springer. 2015. p. 485-497. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-19321-2_37

Enhanced matching method for copy-move forgery detection by means of Zernike moments

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Keywords

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