Advancing the state of the art for handwritten math recognition: the CROHME competitions, 2011–2014
The CROHME competitions have helped organize the field of handwritten mathematical
expression recognition. This paper presents the evolution of the competition over its first 4 …
expression recognition. This paper presents the evolution of the competition over its first 4 …
Image-to-markup generation with coarse-to-fine attention
We present a neural encoder-decoder model to convert images into presentational markup
based on a scalable coarse-to-fine attention mechanism. Our method is evaluated in the …
based on a scalable coarse-to-fine attention mechanism. Our method is evaluated in the …
A survey on handwritten mathematical expression recognition: The rise of encoder-decoder and GNN models
Recognition of handwritten mathematical expressions (HMEs) has attracted growing interest
due to steady progress in handwriting recognition techniques and the rapid emergence of …
due to steady progress in handwriting recognition techniques and the rapid emergence of …
A retrospective study on handwritten mathematical symbols and expressions: Classification and recognition
V Kukreja - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
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 …
more challenging to be recognized by computers than plain text. The recognition of HMSE …
ICFHR 2014 competition on recognition of on-line handwritten mathematical expressions (CROHME 2014)
We present the outcome of the latest edition of the CROHME competition, dedicated to on-
line handwritten mathematical expression recognition. In addition to the standard full …
line handwritten mathematical expression recognition. In addition to the standard full …
An integrated grammar-based approach for mathematical expression recognition
Automatic recognition of mathematical expressions is a challenging pattern recognition
problem since there are many ambiguities at different levels. On the one hand, the …
problem since there are many ambiguities at different levels. On the one hand, the …
Challenges in end-to-end neural scientific table recognition
In recent years, end-to-end trained neural models have been applied successfully to various
optical character recognition (OCR) tasks. However, the same level of success has not yet …
optical character recognition (OCR) tasks. However, the same level of success has not yet …
Pattern generation strategies for improving recognition of handwritten mathematical expressions
Abstract Recognition of Handwritten Mathematical Expressions (HMEs) is a challenging
problem because of the ambiguity and complexity of two-dimensional handwriting …
problem because of the ambiguity and complexity of two-dimensional handwriting …
Online handwritten mathematical expression recognition and applications: A survey
Handwritten mathematical expressions are an essential part of many domains, including
education, engineering, and science. The pervasive availability of computationally powerful …
education, engineering, and science. The pervasive availability of computationally powerful …
Recognizing handwritten mathematical expressions via paired dual loss attention network and printed mathematical expressions
AD Le - Proceedings of the IEEE/CVF conference on …, 2020 - openaccess.thecvf.com
Abstract Recognition of Handwritten Mathematical Expressions (HMEs) is a challenging
problem because of the complicated structure and uncommon math symbols contained in …
problem because of the complicated structure and uncommon math symbols contained in …