10.46243/jst.2023.v8.i04.pp66-71 registered
An Efficient Application to Provide Security to The Banks Using Face Recognition Using Open CV
Resolves to https://www.jst.org.in/index.php/pub/article/view/718
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2023.v8.i04.pp66-71
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 378d0d67a9cb1d76…
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What the DOI identifies
JournalArticle — an article in a journal · Digital · Visual · en
An Efficient Application to Provide Security to The Banks Using Face Recognition Using Open CV (PrincipalTitle)
Published 2023-10-04
Part of Journal of Science & Technology · ISSN 2456-5660 · volume 8 · issue 4 · pages 66–71
Agents
- Dr. Y.V. RAM KUMAR Dr. Y.V. RAM KUMAR (author)
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2023.v8.i04.pp66-71
Abstract
A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. Proposed paper uses face recognition technique for verification in ATM system. For face recognition, there are two types of comparisons. The first is verification, this is where the system compares the given individual with who that individual says they are and gives a yes or no decision. The next one is identification this is where the system compares the given individual to all the other individuals in the database and gives a ranked list of matches. Face recognition technology analyzes the unique shape, pattern and positioning of the facial features. Face recognition is very complex technology and is largely software based using Convolutional Neural network (CNN). Face Recognition is a computer application. It is capable to detect, identify or verify, track human faces from the input captured using a digital camera. This technology facilitates the machine to identify and recognize each and every user uniquely through the face as a key. This completely eliminates the chances of fraud due to theft and duplicity of the ATM cards. The captured face of the user must be matched with the registered face to have the access of the account. On the basis of iris uniqueness and other prerequisites the images of user are differentiated. The main aim or outcome of this project is to provide security to ATM transactions
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.2023.v8.i04.pp66-71 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | An Efficient Application to Provide Security to The Banks Using Face Recognition Using Open CV (PrincipalTitle, en) | titles |
| Basic Metadata basicMetadata | author: Dr. Y.V. RAM KUMAR Dr. Y.V. RAM KUMAR publisher: Longman Publishers published: 2023-10-04 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 8 · no. 4 · pp. 66–71 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) |
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) | 64 fields set · sha256 a9f2d1de0049… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | container.titles.0.value: |
Machine-readable: the history as JSON, with the full record after each change.
