Image Plagiarism Detection Using Compressed Images
Akshay S1, Chaitanya B N2, Rishabh Kumar3
1Akshay S, Department of Computer Science, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Mysuru, (Karnataka), India.
2Chaitanya B N, Department of Computer Science, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Mysuru, (Karnataka), India.
3Rishabh Kumar, Department of Computer Science, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Mysuru, (Karnataka), India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 1423-1426 | Volume-8 Issue-8, June 2019 | Retrieval Number: H7509068819/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image plagiarism is stealing of another’s work and passing it off as their own work without crediting the source. Image plagiarism is based on image processing, which helps to manipulate and perform operations on image to detect plagiarism. Previously lot of work is done to detect plagiarism on text, but there is no much work done in this area. In this paper an attempt is made to detect difference between the images using image subtraction. The system is also overcoming the vulnerability of re-sizing, compression and color differentiation. The similarity and the difference between the images is displayed using histogram.
Keyword: FMM, Plagiarism, Canny edge detection, CBIR.
Scope of the Article: Data Visualization using IoT.