Universiti Teknologi Malaysia Institutional Repository

Shape-based plagiarism detection for flowchart figures in texts

Arrish, Senosy and Afif, Fadhil Noer and Maidorawa, Ahmadu and Salim, Naomie (2014) Shape-based plagiarism detection for flowchart figures in texts. International Journal of Computer Science & Information Technology, 6 (1). pp. 113-124. ISSN 0975-4660

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Official URL: http://dx.doi.org/10.5121/ijcsit.2014.6108

Abstract

Plagiarism detection is well known phenomenon in the academic arena. Copying other people is considered as serious offence that needs to be checked. There are many plagiarism detection systems such as turn-it-in that has been developed to provide this checks. Most, if not all, discard the figures and charts before checking for plagiarism. Discarding the figures and charts results in look holes that people can take advantage. That means people can plagiarized figures and charts easily without the current plagiarism systems detecting it. There are very few papers which talks about flowcharts plagiarism detection. Therefore, there is a need to develop a system that will detect plagiarism in figures and charts. This paper presents a method for detecting flow chart figure plagiarism based on shape-based image processing and multimedia retrieval. The method managed to retrieve flowcharts with ranked similarity according to different matching sets.

Item Type:Article
Uncontrolled Keywords:figures similarity, image comparison, figure retrieval
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:59938
Deposited By: Haliza Zainal
Deposited On:23 Jan 2017 00:24
Last Modified:26 Apr 2022 00:14

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