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Enhancing handwritten text recognition accuracy with gated mechanisms

Enhancing handwritten text recognition accuracy with gated mechanisms

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ebefe57222754dec9fac9f021aeb33da

Enhancing handwritten text recognition accuracy with gated mechanisms

About this item

Full title

Enhancing handwritten text recognition accuracy with gated mechanisms

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-07, Vol.14 (1), p.16800-16, Article 16800

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Handwritten Text Recognition (HTR) is a challenging task due to the complex structures and variations present in handwritten text. In recent years, the application of gated mechanisms, such as Long Short-Term Memory (LSTM) networks, has brought significant advancements to HTR systems. This paper presents an overview of HTR using a gated mechanism a...

Alternative Titles

Full title

Enhancing handwritten text recognition accuracy with gated mechanisms

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ebefe57222754dec9fac9f021aeb33da

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ebefe57222754dec9fac9f021aeb33da

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-67738-8

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