IJBTT

Handwritten Mathematical Equations Conversion to LaTeX Equivalent
	© 2020 by IJCTT Journal
	Volume-68 Issue-4
	Year of Publication : 2020
	Authors : Pooja Chaudhari, Bhagirath Prajapati, Priyanka Puvar
	DOI :  10.14445/22312803/IJCTT-V68I4P138

How to Cite?

Pooja Chaudhari, Bhagirath Prajapati, Priyanka Puvar, "Handwritten Mathematical Equations Conversion to LaTeX Equivalent," International Journal of Computer Trends and Technology, vol. 68, no. 4, pp. 248-252, 2020. Crossref, https://doi.org/10.14445/22312803/IJCTT-V68I4P138

Abstract
Recently in academics the usage of digital documents has been increasing so that it has been necessity to digitise most of the documents. With increasing usage of digital documents, demand of converting hand-written mathematical equations into digital form has been increased. Nowadays, LaTeX is popular for academic, scientific or technical articles. LaTeX is a tool for document formatting. LaTeX facilitates writing mathematical expression by remembering the syntax but it is difficult to remember syntax all the time. This problem can be solved with the concept of Deep Learning. Using which a model can be trained with a relative dataset then the trained model is used to detect mathematical expression which can further be converted into LaTeX syntax as required by the user.

Keywords
Mathematical expression, LaTeX, Neural networks, Deep Learning.

Reference
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