fireae/HERC-Handwritten-Equation-Recognition-Classification-
While handwriting provides an efficient means to write mathematical symbols quickly, it is a poor medium for rapid exchange and editing of documents. Meanwhile, advanced typesetting systems like LaTeX and MathML have provided an environment where mathematical symbols can be typeset with precision, but at the cost of typing time and a steep learning curve. In order to facilitate the exchange, preservation and ease of editing of mathematical documents, we propose a method of offline handwritten equational recognition. Our system takes a handwritten document, for example a students calculus homework, then partitions, classifies and parses the document into LaTeX.