Log in to save to my catalogue

Multiclass Recognition of Offline Handwritten Devanagari Characters using CNN

Multiclass Recognition of Offline Handwritten Devanagari Characters using CNN

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_426dd3a28b9d49b6974f060c263cdc9d

Multiclass Recognition of Offline Handwritten Devanagari Characters using CNN

About this item

Full title

Multiclass Recognition of Offline Handwritten Devanagari Characters using CNN

Author / Creator

Publisher

Dehradun: International Journal of Mathematical, Engineering and Management Sciences

Journal title

International journal of mathematical, engineering and management sciences, 2020-12, Vol.5 (6), p.1429-1439

Language

English

Formats

Publication information

Publisher

Dehradun: International Journal of Mathematical, Engineering and Management Sciences

More information

Scope and Contents

Contents

The handwriting style of every writer consists of variations, skewness and slanting nature and therefore, it is a stimulating task to recognise these handwritten documents. This article presents a study on various methods available in literature for Devanagari handwritten character recognition and performs its implementation using Convolutional neu...

Alternative Titles

Full title

Multiclass Recognition of Offline Handwritten Devanagari Characters using CNN

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_426dd3a28b9d49b6974f060c263cdc9d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_426dd3a28b9d49b6974f060c263cdc9d

Other Identifiers

ISSN

2455-7749

E-ISSN

2455-7749

DOI

10.33889/IJMEMS.2020.5.6.106

How to access this item