Context Although recognition works on mathematical expressions have been explored for
four decades, the current literature and trends are varied and frequently influenced by …

Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

Given the ubiquity of handwriting and mathematical content in human transactions, machine
recognition of handwritten mathematical text and symbols has become a domain of great …

Handwritten mathematical expression recognition (HMER) is a challenging task that has
many potential applications. Recent methods for HMER have achieved outstanding …

Large-scale pre-trained models like BERT, have obtained a great success in various Natural
Language Processing (NLP) tasks, while it is still a challenge to adapt them to the math …

Abstract Machine recognition of a handwritten mathematical expression (HME) is
challenging due to the ambiguities of handwritten symbols and the two-dimensional …

Encoder-decoder models have made great progress on handwritten mathematical
expression recognition recently. However, it is still a challenge for existing methods to …

We summarize the tasks, protocol, and outcome for the 6th Competition on Recognition of
Handwritten Mathematical Expressions (CROHME), which includes a new formula detection …

Context: Many scientific and technical literature documents contain MSs and MEs that are
more challenging to be recognized by computers than plain text. The recognition of HMSE …

Recognition of handwritten mathematical expressions (MEs) is an important problem that
has wide applications in practice. Handwritten ME recognition is challenging due to the …