Document recognition and retrieval technologies complement one another, providing
improved access to increasingly large document collections. While recognition and retrieval …

Online handwriting recognition is gaining renewed interest owing to the increase of pen
computing applications and new pen input devices. The recognition of Chinese characters is …

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

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

Tables are information-rich structured objects in document images. While significant work
has been done in localizing tables as graphic objects in document images, only limited …

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 …

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 is a challenging problem due to the
complicated two-dimensional structures, ambiguous handwriting input and variant scales of …

TXL is a special-purpose programming language designed for creating, manipulating and
rapidly prototy** language descriptions, tools and applications. TXL is designed to allow …

In this paper, we introduce Track, Attend, and Parse (TAP), an end-to-end approach based
on neural networks for online handwritten mathematical expression recognition (OHMER) …