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

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 …

Using techniques derived from the syntactic methods for visual pattern recognition is not
new and was much explored in the area called syntactical or structural pattern recognition …

Recent handwritten mathematical expression recognition (HMER) approaches treat the
problem as an image-to-markup generation task where the handwritten formula is translated …

We address the problem of offline handwritten diagram recognition. Recently, it has been
shown that diagram symbols can be directly recognized with deep learning object detectors …

Online handwritten diagram recognition (OHDR) has attracted considerable attention for its
potential applications in many areas, but it is a challenging task due to the complex 2D …

With the advent and advancement of machine learning and deep learning techniques,
machine-based recognition systems for mathematical text have captivated the attention of …

Handwritten mathematical expression recognition (HMER) is an essential task in the OCR
community, which consists of two sub-tasks, ie, symbol recognition and structure parsing …

Image-to-markup generation aims at translating an image into markup (structured language)
that represents both the contents and the structural semantics corresponding to the image …

Offline hand-drawn diagram recognition is concerned with digitizing diagrams sketched on
paper or whiteboard to enable further editing. Some existing models can identify the …