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IJSTR >> Volume 9 - Issue 3, March 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Mathematical Symbol Extraction From Document Images - A Comprehensive Review

[Full Text]

 

AUTHOR(S)

A. SAKILA, Dr. S. VIJAYARANI

 

KEYWORDS

Document Images, Document Image Analysis, Optical Character Recognition (OCR), Mathematical Symbol Extraction.

 

ABSTRACT

The global effects of high speed internet access as hundreds of millions browse for information/multimedia, look up map directions, interact through email/social networks/ video chat, etc. Nowadays document images play a vital role in digitized organization and digitized libraries. Digitized means paper documents are converted into image format by using digitized equipment’s. Optical Character Recognition (OCR) is a one of the document image analysis technique, which is used to convert document image into editable text format. Mathematical document identification is a unique challenge in document image analysis that deals with identifying mathematical symbols in a document and then classifying the document as math’s and non-math’s regions based on density of the mathematical symbols. Formulas are involved in mathematical documents, either as isolated formulas, or embedded directly into a text line. They have a number of features, which distinguish them from conventional text. This paper provides the basic concepts of the mathematical symbol recognition and its essential characteristics.

 

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