Plagiarism detection of images

Bin Ibrahin, Amirul S. and Khalifa, Othman Omran and Ahmed, Diaa Eldein M. (2020) Plagiarism detection of images. In: 2020 IEEE Student Conference On Research and Development (SCOReD), 27th-29th September 2020, Batu Pahat, Johor, Malaysia.

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Abstract

Plagiarism is when someone takes another author’s works, thoughts, ideas, etc. without proper referencing and claim it as his/her own works. Plagiarism detection is the process to find the plagiarism within a work or documents. With the advance of modern technology, it makes it easier for people to search for information and plagiarize the work of others. Although the effort and ideas for an image-based plagiarism detection has been increasing over the years, flaws are still presence in the current systems. This paper proposes a new system that can cover those flaws. It consists three stages: the pre-processing, feature extraction and comparison stage. The results showed in an ascending order of similarity index and true and false. However, the accuracy is 100% in case of unedited images and variated in other operations such as flipped, rotated, greyscales and cropped

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	Virtual conference
Uncontrolled Keywords:	Image Plagiarism, Image Retrieval, Feature extraction.
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	03 Dec 2020 10:21
Last Modified:	15 Jan 2021 15:31
URI:	http://irep.iium.edu.my/id/eprint/84734

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