Handwritten optical character recognition (OCR): A comprehensive systematic literature review (SLR)
Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …
Recognition (OCR) of documents have invaluable practical worth. Optical character …
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 …
Nougat: Neural optical understanding for academic documents
Scientific knowledge is predominantly stored in books and scientific journals, often in the
form of PDFs. However, the PDF format leads to a loss of semantic information, particularly …
form of PDFs. However, the PDF format leads to a loss of semantic information, particularly …
Syntax-aware network for handwritten mathematical expression recognition
Y Yuan, X Liu, W Dikubab, H Liu, Z Ji… - Proceedings of the …, 2022 - openaccess.thecvf.com
Handwritten mathematical expression recognition (HMER) is a challenging task that has
many potential applications. Recent methods for HMER have achieved outstanding …
many potential applications. Recent methods for HMER have achieved outstanding …
Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition
Abstract Machine recognition of a handwritten mathematical expression (HME) is
challenging due to the ambiguities of handwritten symbols and the two-dimensional …
challenging due to the ambiguities of handwritten symbols and the two-dimensional …
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 …
Handwritten mathematical expression recognition with bidirectionally trained transformer
Encoder-decoder models have made great progress on handwritten mathematical
expression recognition recently. However, it is still a challenge for existing methods to …
expression recognition recently. However, it is still a challenge for existing methods to …
Comer: Modeling coverage for transformer-based handwritten mathematical expression recognition
The Transformer-based encoder-decoder architecture has recently made significant
advances in recognizing handwritten mathematical expressions. However, the transformer …
advances in recognizing handwritten mathematical expressions. However, the transformer …
Handwritten mathematical expression recognition via paired adversarial learning
Recognition of handwritten mathematical expressions (MEs) is an important problem that
has wide applications in practice. Handwritten ME recognition is challenging due to the …
has wide applications in practice. Handwritten ME recognition is challenging due to the …
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 …