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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.10 No.4
- 발행연도
- 2015.7
- 수록면
- 1,886 - 1,898 (13page)
이용수
초록· 키워드
오류제보하기
In today’s era of advanced technological developments, the threats to the authenticity and integrity of digital images, in a nutshell, the threats to the Image Forensics Research communities have also increased proportionately. This happened as even for the ‘non-expert’ forgers, the availability of image processing tools has become a cakewalk. This image forgery poses a great problem for judicial authorities in any context of trade and commerce. Block matching based image cloning detection system is widely researched over the last 2-3 decades but this was discouraged by higher computational complexity and more time requirement at the algorithm level. Thus, for reducing time need, various dimension reduction techniques have been employed. Since a single technique cannot cope up with all the transformations like addition of noise, blurring, intensity variation, etc. we employ multiple techniques to a single image. In this paper, we have used Fuzzy logic approach for decision making and getting a global response of all the techniques, since their individual outputs depend on various parameters. Experimental results have given enthusiastic elicitations as regards various transformations to the digital image. Hence this paper proposes Fuzzy based cloning detection and classification system. Experimental results have shown that our detection system achieves classification accuracy of 94.12%. Detection accuracy (DAR) while in case of 81×81 sized copied portion the maximum accuracy achieved is 99.17% as regards subjection to transformations like Blurring, Intensity Variation and Gaussian Noise Addition.
목차
Abstract
1. Introduction
2. Related Work
3. Elementary Guidelines of Fuzzy Theory
4. Proposed Methodology
5. Experimental Results and Discussions
6. Conclusion
References
참고문헌 (30)
참고문헌 신청
[학술지(정기간행물)] - Stamm, Matthew C / 2010 / Forensic detection of image manipulation using statistical intrinsic fingerprints / IEEE Transactions on Information Forensics and Security 5 (3) : 492 ~ 506
[기타자료] - Murali, S / 2013 / Comparison and analysis of photo image forgery detection techniques / arXiv preprint arXiv:1302.3119
[학술지(정기간행물)] - Qazi, Tanzeela / 2013 / Survey on blind image forgery detection / Image Processing 7 (7) : 660 ~ 670
[학술지(정기간행물)] - Al-Qershi, Osamah M / 2013 / Passive detection of copy-move forgery in digital images:State-of-the-art / Forensic science international 231 (1) : 284 ~ 295
[학술지(정기간행물)] - Mahdian, Babak / 2010 / A bibliography on blind methods for identifying image forgery / Signal Processing: Image Communication 25 (6) : 389 ~ 399
[기타자료] - Murali, S / 2013 / Comparison and analysis of photo image forgery detection techniques / arXiv preprint arXiv:1302.3119
[학술지(정기간행물)] - Qazi, Tanzeela / 2013 / Survey on blind image forgery detection / Image Processing 7 (7) : 660 ~ 670
[학술지(정기간행물)] - Al-Qershi, Osamah M / 2013 / Passive detection of copy-move forgery in digital images:State-of-the-art / Forensic science international 231 (1) : 284 ~ 295
[학술지(정기간행물)] - Mahdian, Babak / 2010 / A bibliography on blind methods for identifying image forgery / Signal Processing: Image Communication 25 (6) : 389 ~ 399
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