Handwritten Mathematical Expression Recognition

Abstract

Handwritten mathematical expressions are a significant part of many research fields, consisting of engineering, education, and science. The prevalent availability of powerful computational touch-screen appliances, like the modern emergence of deep neural networks as high-quality sequence recognition models, result in the widespread adoption of online recognition of handwritten mathematical expressions. A deeper study and improvement of such technologies is necessary to address the current challenges posed by the extensive usage of distance learning, and remote work due to the world pandemic.