Shape-based plagiarism detection for flowchart figures in texts
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 an...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Published: |
AIRCC Publishing Corporation
2014
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/59938/ http://dx.doi.org/10.5121/ijcsit.2014.6108 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.59938 |
---|---|
record_format |
eprints |
spelling |
my.utm.599382022-04-26T00:14:42Z http://eprints.utm.my/id/eprint/59938/ Shape-based plagiarism detection for flowchart figures in texts Arrish, Senosy Afif, Fadhil Noer Maidorawa, Ahmadu Salim, Naomie QA75 Electronic computers. Computer science 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. AIRCC Publishing Corporation 2014-02 Article PeerReviewed 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 http://dx.doi.org/10.5121/ijcsit.2014.6108 DOI:10.5121/ijcsit.2014.6108 |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
topic |
QA75 Electronic computers. Computer science |
spellingShingle |
QA75 Electronic computers. Computer science Arrish, Senosy Afif, Fadhil Noer Maidorawa, Ahmadu Salim, Naomie Shape-based plagiarism detection for flowchart figures in texts |
description |
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. |
format |
Article |
author |
Arrish, Senosy Afif, Fadhil Noer Maidorawa, Ahmadu Salim, Naomie |
author_facet |
Arrish, Senosy Afif, Fadhil Noer Maidorawa, Ahmadu Salim, Naomie |
author_sort |
Arrish, Senosy |
title |
Shape-based plagiarism detection for flowchart figures in texts |
title_short |
Shape-based plagiarism detection for flowchart figures in texts |
title_full |
Shape-based plagiarism detection for flowchart figures in texts |
title_fullStr |
Shape-based plagiarism detection for flowchart figures in texts |
title_full_unstemmed |
Shape-based plagiarism detection for flowchart figures in texts |
title_sort |
shape-based plagiarism detection for flowchart figures in texts |
publisher |
AIRCC Publishing Corporation |
publishDate |
2014 |
url |
http://eprints.utm.my/id/eprint/59938/ http://dx.doi.org/10.5121/ijcsit.2014.6108 |
_version_ |
1732945385131868160 |
score |
13.164666 |