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Advancements and Challenges in Character Recognition: A Comparative Analysis of CNN and Deep Learnin...

Advancements and Challenges in Character Recognition: A Comparative Analysis of CNN and Deep Learnin...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2ff3010ef51c420fbe84cdfcd2a1571e

Advancements and Challenges in Character Recognition: A Comparative Analysis of CNN and Deep Learning Approaches

About this item

Full title

Advancements and Challenges in Character Recognition: A Comparative Analysis of CNN and Deep Learning Approaches

Author / Creator

Publisher

EDP Sciences

Journal title

ITM web of conferences, 2025, Vol.70, p.3010

Language

English

Formats

Publication information

Publisher

EDP Sciences

More information

Scope and Contents

Contents

This paper provides a comprehensive review of character recognition technologies, focusing on the application of Convolutional Neural Networks (CNN) and deep learning methodologies. Through an analysis of three key studies, the research highlights the strengths and limitations of current approaches. Study by Zib emphasizes the challenges in segment...

Alternative Titles

Full title

Advancements and Challenges in Character Recognition: A Comparative Analysis of CNN and Deep Learning Approaches

Authors, Artists and Contributors

Author / Creator

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Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2ff3010ef51c420fbe84cdfcd2a1571e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2ff3010ef51c420fbe84cdfcd2a1571e

Other Identifiers

ISSN

2271-2097

E-ISSN

2271-2097

DOI

10.1051/itmconf/20257003010

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