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10.46243/jst.2024.v9.i4.pp1-10 registered

Real -Time Text Detection and Recognition Based on Optical Character Recognition(OCR)

Resolves to https://www.jst.org.in/index.php/pub/article/view/22

Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2024.v9.i4.pp1-10

Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 472d46513555b222…

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What the DOI identifies

JournalArticle — an article in a journal · Digital · Visual · en

Real -Time Text Detection and Recognition Based on Optical Character Recognition(OCR) (PrincipalTitle)

Published 2024-04-01

Part of Journal of Science & Technology · ISSN 2456-5660 · volume 09 · issue 04 · pages 1

Agents

  • B.Avinash (author)
  • Shaik.Ishrath Anjum (author)
  • Syed.Roohi (author)
  • Vibudi.Divya Priya (author)
  • Venicharla.Bhargavi (author)
  • Longman Publishers (publisher)

Identifiers DOI 10.46243/jst.2024.v9.i4.pp1-10

Abstract

Text presented in videos includes vital information for content analysis, indexing, andretrieval of videos. Finding,verifying, and recognizing video text against complex backgroundsis a key technique for extracting this content. The existing system faces challenges ineffectively detecting and recognizing text content in images, limiting its applications to only images and recognizing text in English. This highlights the limitations of the CTPN network, which can only detect text in approximate horizontal directions. Additionally, the CRNN algorithm used for text recognition lacks efficiencyin handling occluded text, indicating the need for improvement in both text detection and recognitionunder complex backgrounds.Our proposed system suggests a method for text detection and recognition in real-time videos, and web cameras with enhanced multilingual support and converts any language text into English.Efficient handling of occluded text, Efficient handling of text orientations, variations of different fontstyles, sizes and text distortions using text detection tools such as the OpenCV. This tool extracts the region of interest of text in the video frames, implementing text detection throughOptical Character Recognition (OCR) and Pytesseract. OCR and Pytesseract extract text from video frames and pre-process frames for better recognition, enabling automated text extraction and analysis in videos. This approach offers a promising solution with much more better results than the existing method for detecting text in videos and web cameras.

Licence https://creativecommons.org/licenses/by/4.0/

System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1

Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.

ElementValueIn the record
DOI Name
DOI name
10.46243/jst.2024.v9.i4.pp1-10doi
Referent Type
referentType
Creationreferent
Referent Sub-Type
referentSubType
JournalArticle — an article in a journaltype
Referent Name(s)
referentName(s)
Real -Time Text Detection and Recognition Based on Optical Character Recognition(OCR) (PrincipalTitle, en)titles
Basic Metadata
basicMetadata
author: B.Avinash
author: Shaik.Ishrath Anjum
author: Syed.Roohi
author: Vibudi.Divya Priya
author: Venicharla.Bhargavi
publisher: Longman Publishers
published: 2024-04-01
part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 09 · no. 04 · pp. 1
language: en
form: Digital · Visual · Language
agents, dates, container, language, structural_type, modes, characters
Referent Identifier(s)
alternateIdentifier(s)
none besides the DOIidentifiers, relations (IsSameAs)
Registration Authority
registrationAuthorityCode
Crossref — issued by Crossref (member 25296); held here as a copyrecord.source_agency (our code, ra_doi_name, for names issued here once appointed)
Created Date
issueDate
2026-08-27record.registered (when the DOI name was first registered)
relatedIdentifiersnone needed — the descriptive metadata is in this recordcontainer, relations (only where the descriptive metadata lives at another identifier)

complete Every System Metadata element is here, with the basic metadata a journal article needs.

The System Metadata Declaration (JSON) · the Kernel Metadata Declaration (XML) · what each sub-type needs

History — the ledger

Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.

#WhenWhatByChanges
129 Sep 2026, 10:00 PMregister
registered at Crossref; record read from api.crossref.org
Administrator (admin) 103 fields set · sha256 c306f48456cc…
229 Sep 2026, 11:59 PMupdate
record re-read from api.crossref.org
Administrator (admin)
container.titles.0.value: Journal of Science & Technology → Journal of Science & Technology

Machine-readable: the history as JSON, with the full record after each change.

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