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10.46243/jst.2023v8.i10.pp27-31 registered

Forensic Identification of the source of the morphed image: A case study on serious female disgrace

Resolves to https://www.jst.org.in/index.php/pub/article/view/336

Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2023v8.i10.pp27-31

Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 af499938feb85cf5…

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What the DOI identifies

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

Forensic Identification of the source of the morphed image: A case study on serious female disgrace (PrincipalTitle)

Published 2023

Part of Journal of Science & Technology · ISSN 2456-5660 · volume 08 · issue 10 · pages 27–31

Agents

  • Tilak Raj (author)
  • Dr. Manish Malhotra (author)
  • Rajat Choudhary (author)
  • Longman Publishers (publisher)

Identifiers DOI 10.46243/jst.2023v8.i10.pp27-31

Abstract

he paradigm of the nature and means of functioning of crimes involving female humiliation has evolved as a result of advancements in digital image processing tools and techniques. Using digital image acquisition and transposition technology, altered images are produced that are closer to perfection. By employing various image enhancement techniques on suspected parts of the digital image and doing a pixel-by-pixel analysis of the observations obtained there by an expert in processing images, you can detect editing or morphing anomalies. In this case study, the authors provided an in-depth review of a morphing image and obtained proof that the image was taken from a website. Following website exploration, the source image was located using morphological criteria. The source image that was transformed and recognized contained the same quantization for the horizontal and vertical resolution, measured in DPI (dots per inch), and bit depth.

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.2023v8.i10.pp27-31doi
Referent Type
referentType
Creationreferent
Referent Sub-Type
referentSubType
JournalArticle — an article in a journaltype
Referent Name(s)
referentName(s)
Forensic Identification of the source of the morphed image: A case study on serious female disgrace (PrincipalTitle, en)titles
Basic Metadata
basicMetadata
author: Tilak Raj
author: Dr. Manish Malhotra
author: Rajat Choudhary
publisher: Longman Publishers
published: 2023
part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 08 · no. 10 · pp. 27–31
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
2024-02-16record.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) 83 fields set · sha256 b86252579700…
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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