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Machine learning models for mathematical symbol recognition: A stem to stern literature analysis

Machine learning models for mathematical symbol recognition: A stem to stern literature analysis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2693179224

Machine learning models for mathematical symbol recognition: A stem to stern literature analysis

About this item

Full title

Machine learning models for mathematical symbol recognition: A stem to stern literature analysis

Author / Creator

Publisher

New York: Springer US

Journal title

Multimedia tools and applications, 2022-08, Vol.81 (20), p.28651-28687

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

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 practical scope and significance. Recognition of mathematical expression (ME) has remained a challenging and emerging research domain, with mathematical symbol recognition (M...

Alternative Titles

Full title

Machine learning models for mathematical symbol recognition: A stem to stern literature analysis

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2693179224

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2693179224

Other Identifiers

ISSN

1380-7501

E-ISSN

1573-7721

DOI

10.1007/s11042-022-12644-2

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