title: Intelligent bar chart plagiarism detection in documents.
abstract: This paper presents a novel features mining approach from documents that could not be mined via optical character recognition (OCR). By identifying the intimate relationship between the text and graphical components, the proposed technique pulls out the Start, End, and Exact values for each bar. Furthermore, the word 2-gram and Euclidean distance methods are used to accurately detect and determine plagiarism in bar charts.
authors.affiliation: Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia ; Faculty of Computer Sciences and Mathematics, University of Mosul, Mosul, Iraq.
authors.forename: Mohammed Mumtaz
authors.initials: MM
authors.lastname: Al-Dabbagh
authors.affiliation: Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.
authors.forename: Naomie
authors.initials: N
authors.lastname: Salim
authors.affiliation: MIS Department, CBA, Salman Bin Abdulaziz University, Alkharj, Saudi Arabia.
authors.forename: Amjad
authors.identifier: 0000-0002-3817-2655
authors.initials: A
authors.lastname: Rehman
authors.affiliation: Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia ; Faculty of Computer Sciences and Mathematics, University of Mosul, Mosul, Iraq.
authors.forename: Mohammed Hazim
authors.initials: MH
authors.lastname: Alkawaz
authors.affiliation: College of Computer and Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia.
authors.forename: Tanzila
authors.initials: T
authors.lastname: Saba
authors.affiliation: Computer Science Department, College of Computer & Information Sciences, King Saud University, Riyadh, Saudi Arabia.
authors.forename: Mznah
authors.initials: M
authors.lastname: Al-Rodhaan
authors.affiliation: Computer Science Department, College of Computer & Information Sciences, King Saud University, Riyadh, Saudi Arabia.
authors.forename: Abdullah
authors.initials: A
authors.lastname: Al-Dhelaan
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003196:Computer Graphics; D057225:Data Mining / Q000379:methods*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D015714:Plagiarism; D012660:Semantics