Intelligent Bar Chart Plagiarism Detection in Documents

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.

• Publication year

  2014

• Venue

  TheScientificWorldJournal

• Publication date

  2014-09-17

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1155/2014/612787PMID 25309952PMCID 4182899
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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