10.46243/jst.2022.v7.i06.pp60-79 registered
Diagonal Feature Extraction Based Handwritten Character System Using Neural Network
Resolves to https://www.jst.org.in/index.php/pub/article/view/642
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2022.v7.i06.pp60-79
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 48ac5f0d9687bc92…
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What the DOI identifies
JournalArticle — an article in a journal · Digital · Visual · en
Diagonal Feature Extraction Based Handwritten Character System Using Neural Network (PrincipalTitle)
Published 2022-08-23
Part of Journal of Science & Technology · ISSN 2456-5660 · volume 7 · issue 6 · pages 60–79
Agents
- Dr.G.Sambasivarao Dr.G.Sambasivarao (author)
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2022.v7.i06.pp60-79
Abstract
A handwritten character recognition system using multilayer Feed forward neural network is proposed in this paper. The character data set suitable for recognizing postal addresses contains 38 elements which include 26 alphabets, 10 numerals and 2 symbols. Fifteen different handwritten data sets were used for training the neural network for classification and recognition of the characters. Three different orientations, namely, horizontal, vertical and diagonal directions are used for extracting 54 features from each character. The trained neural recognition system is tested for various inputs and found to perform well. The diagonal orientation for feature extraction is identified to be the most suitable method as it yields higher recognition accuracy. The proposed system will aid applications for postal/parcel address recognition and conversion of any hand written document into structural text form
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| Element | Value | In the record |
|---|---|---|
| DOI Name DOI name | 10.46243/jst.2022.v7.i06.pp60-79 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | Diagonal Feature Extraction Based Handwritten Character System Using Neural Network (PrincipalTitle, en) | titles |
| Basic Metadata basicMetadata | author: Dr.G.Sambasivarao Dr.G.Sambasivarao publisher: Longman Publishers published: 2022-08-23 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 7 · no. 6 · pp. 60–79 language: en form: Digital · Visual · Language | agents, dates, container, language, structural_type, modes, characters |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI | identifiers, relations (IsSameAs) |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy | record.source_agency (our code, ra_doi_name, for names issued here once appointed) |
| Created Date issueDate | 2024-02-16 | record.registered (when the DOI name was first registered) |
| relatedIdentifiers | none needed — the descriptive metadata is in this record | container, relations (only where the descriptive metadata lives at another identifier) |
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| # | When | What | By | Changes |
|---|---|---|---|---|
| 1 | 29 Sep 2026, 10:00 PM | register registered at Crossref; record read from api.crossref.org | Administrator (admin) | 91 fields set · sha256 c02aebd6e68a… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | container.titles.0.value: |
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