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Image segmentation techniques: statistical, comprehensive, semi-automated analysis and an application perspective analysis of mathematical expressions
Segmentation has been a rooted area of research having diverse dimensions. The roots of
image segmentation and its associated techniques have supported computer vision, pattern …
image segmentation and its associated techniques have supported computer vision, pattern …
[HTML][HTML] A survey of graphical page object detection with deep neural networks
In any document, graphical elements like tables, figures, and formulas contain essential
information. The processing and interpretation of such information require specialized …
information. The processing and interpretation of such information require specialized …
Augmenting scientific papers with just-in-time, position-sensitive definitions of terms and symbols
Despite the central importance of research papers to scientific progress, they can be difficult
to read. Comprehension is often stymied when the information needed to understand a …
to read. Comprehension is often stymied when the information needed to understand a …
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 …
Mathematical formula detection in document images: A new dataset and a new approach
Most of existing mathematical formula detectors focus on detecting formula entities through
object detection or instance segmentation techniques. However, these methods often fail to …
object detection or instance segmentation techniques. However, these methods often fail to …
[HTML][HTML] Cascade network with deformable composite backbone for formula detection in scanned document images
This paper presents a novel architecture for detecting mathematical formulas in document
images, which is an important step for reliable information extraction in several domains …
images, which is an important step for reliable information extraction in several domains …
Document parsing unveiled: Techniques, challenges, and prospects for structured information extraction
Document parsing is essential for converting unstructured and semi-structured documents-
such as contracts, academic papers, and invoices-into structured, machine-readable data …
such as contracts, academic papers, and invoices-into structured, machine-readable data …
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 …
An end‐to‐end framework for the detection of mathematical expressions in scientific document images
The detection of mathematical expressions is a prerequisite step for the digitisation of
scientific documents. Many different multistage approaches have been proposed for the …
scientific documents. Many different multistage approaches have been proposed for the …
A deep learning based system for mathematical expression detection and recognition in document images
Detection and recognition of mathematical expressions in document images are two key
steps for the development of a mathematical expression retrieval system. So far, many …
steps for the development of a mathematical expression retrieval system. So far, many …