10.46243/jst.2021.v6.i04.pp251-257 registered
Efficient Face Features Extraction and Recognition Using Principal Component Analysis
Resolves to https://www.jst.org.in/index.php/pub/article/view/467
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2021.v6.i04.pp251-257
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 d05fa062dfae8534…
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What the DOI identifies
JournalArticle — an article in a journal · Digital · Visual · en
Efficient Face Features Extraction and Recognition Using Principal Component Analysis (PrincipalTitle)
Published 2021-08-29
Part of Journal of Science & Technology · ISSN 2456-5660 · volume 06 · issue 04 · pages 251–257
Agents
- Dr. R. Pradeep Kumar Reddy (author)
- Dr. S. Kiran (author)
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2021.v6.i04.pp251-257
Abstract
Face recognition is a common issue in artificial intelligence. This program was widely used in our daily lives. Several smart phones used facial recognition to open them. Face identification system is intended to protect personal information. When Face book people appear in photos, you may instantly recognize them. Face recognition has already been tackled in a number of ways. Until recently, it has been recommended, but it is still quite tough in the real world Circumstances. A key strategy for distinguishing persons is based on under a variety of conditions, such as partial facial blockage, lighting, and a wide range of postures. The goal of this paper is to create a face recognition system using a machine learning system. A method named principal component analysis (PCA) has been developed to recognize faces. Furthermore, it has been successful tested with 97 percent recognition accuracy by using PCA.
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.
| Element | Value | In the record |
|---|---|---|
| DOI Name DOI name | 10.46243/jst.2021.v6.i04.pp251-257 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | Efficient Face Features Extraction and Recognition Using Principal Component Analysis (PrincipalTitle, en) | titles |
| Basic Metadata basicMetadata | author: Dr. R. Pradeep Kumar Reddy author: Dr. S. Kiran publisher: Longman Publishers published: 2021-08-29 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 06 · no. 04 · pp. 251–257 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 | 2026-09-08 | 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) |
complete Every System Metadata element is here, with the basic metadata a journal article needs.
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History — the ledger
Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.
| # | When | What | By | Changes |
|---|---|---|---|---|
| 1 | 29 Sep 2026, 10:00 PM | register registered at Crossref; record read from api.crossref.org | Administrator (admin) | 102 fields set · sha256 68befeb8137f… |
| 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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