Recent trends in mathematical expressions recognition: An LDA-based analysis
V Kukreja - Expert Systems with Applications, 2023 - Elsevier
Context Although recognition works on mathematical expressions have been explored for
four decades, the current literature and trends are varied and frequently influenced by …
four decades, the current literature and trends are varied and frequently influenced by …
Machine learning models for mathematical symbol recognition: A stem to stern literature analysis
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 …
recognition of handwritten mathematical text and symbols has become a domain of great …
Recognition of on-line handwritten mathematical expressions using 2D stochastic context-free grammars and hidden Markov models
This paper describes a formal model for the recognition of on-line handwritten mathematical
expressions using 2D stochastic context-free grammars and hidden Markov models. Hidden …
expressions using 2D stochastic context-free grammars and hidden Markov models. Hidden …
Machine learning and non-machine learning methods in mathematical recognition systems: Two decades' systematic literature review
Tools based on machine learning (ML) have seen widespread application in the prediction
and categorization of mathematical symbols and phrases. The purpose of this work is to …
and categorization of mathematical symbols and phrases. The purpose of this work is to …
A dive in white and grey shades of ML and non-ML literature: a multivocal analysis of mathematical expressions
With the advent and advancement of machine learning and deep learning techniques,
machine-based recognition systems for mathematical text have captivated the attention of …
machine-based recognition systems for mathematical text have captivated the attention of …
Recognition of printed mathematical expressions using two-dimensional stochastic context-free grammars
In this work, a system for recognition of printed mathematical expressions has been
developed. Hence, a statistical framework based on two-dimensional stochastic context-free …
developed. Hence, a statistical framework based on two-dimensional stochastic context-free …
An end-to-end formula recognition method integrated attention mechanism
M Zhou, M Cai, G Li, M Li - Mathematics, 2022 - mdpi.com
Formula recognition is widely used in document intelligent processing, which can
significantly shorten the time for mathematical formula input, but the accuracy of traditional …
significantly shorten the time for mathematical formula input, but the accuracy of traditional …
[HTML][HTML] The IBEM dataset: A large printed scientific image dataset for indexing and searching mathematical expressions
Searching for information in printed scientific documents is a challenging problem that has
recently received special attention from the Pattern Recognition research community …
recently received special attention from the Pattern Recognition research community …
Survey of mathematical expression recognition for printed and handwritten documents
In this paper, we provide a review of Mathematical Expression Recognition (MER) for both
printed and handwritten domains. We describe the past work in a manner that clearly …
printed and handwritten domains. We describe the past work in a manner that clearly …
Context-aware mathematical expression recognition: An end-to-end framework and a benchmark
In this paper we propose a novel end-to-end framework for mathematical expression (ME)
recognition. The method uses a convolutional neural network (CNN) to perform …
recognition. The method uses a convolutional neural network (CNN) to perform …