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Kernel Metadata Declaration — on demand

ISO 26324 asks a DOI Registration Agency to produce a Kernel Metadata Declaration for every DOI it issues. Give any DOI: its public record becomes a record in the Smart Scholars DOI Metadata Format 1.0, checked against every rule, and declared as the Kernel XML.

Reads the DOI's public Crossref record; nothing is stored. Until Smart Scholars is accredited, every Declaration is marked as a draft in the XML itself.

✓ Meets every rule of the format

The record below is complete and every controlled value is a DOI Attribute Value Set 2.3 spelling. The Declaration on the right follows DOIMetadataKernel.xsd element by element.

What the DOI identifies

Face Detection with Machine Learning and Open CV Classifier

10.46243/jst.2020.v5.i6.pp100-106 · JournalArticle — an article in a journal · Digital · Visual · Language · en

Published 2020-10-16

Part of Journal of Science & Technology · ISSN 2456-5660 · no. Volume 5 · pp. 100–106

Principal agents

  • Longman Publishers (publisher → Publisher)

Also in the record, outside the Kernel: the abstract, the licence, 3 links, 10 references. Source: Crossref (member 25296), registered 2020-10-29, last deposited 2026-09-17.

⬇ Record (JSON) ⬇ Declaration (XML)

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

Each element by the standard's name and the Handbook's (in grey), read off the record.

DOI Name
DOI name
10.46243/jst.2020.v5.i6.pp100-106
Referent Type
referentType
Creation
Referent Sub-Type
referentSubType
JournalArticle — an article in a journal
Referent Name(s)
referentName(s)
Face Detection with Machine Learning and Open CV Classifier (PrincipalTitle, en)
Basic Metadata
basicMetadata
publisher: Longman Publishers
published: 2020-10-16
part of: Journal of Science & Technology · ISSN 2456-5660 · no. Volume 5 · pp. 100–106
language: en
form: Digital · Visual · Language
Referent Identifier(s)
alternateIdentifier(s)
none besides the DOI
Registration Authority
registrationAuthorityCode
Crossref — issued by Crossref (member 25296); held here as a copy
Created Date
issueDate
2020-10-29
relatedIdentifiersnone needed — the descriptive metadata is in this record

The record

{
    "format": "smartscholars-doi-metadata/1.0",
    "doi": "10.46243/jst.2020.v5.i6.pp100-106",
    "referent": "Creation",
    "type": "JournalArticle",
    "structural_type": "Digital",
    "modes": [
        "Visual"
    ],
    "characters": [
        "Language"
    ],
    "titles": [
        {
            "value": "Face Detection with Machine Learning and Open CV Classifier",
            "type": "PrincipalTitle",
            "lang": "en"
        }
    ],
    "identifiers": [
        {
            "type": "DOI",
            "value": "10.46243/jst.2020.v5.i6.pp100-106"
        }
    ],
    "agents": [
        {
            "role": "publisher",
            "name": {
                "org": "Longman Publishers"
            }
        }
    ],
    "dates": {
        "published": "2020-10-16",
        "date_type": "PublicationDate",
        "online": "2020-10-16"
    },
    "language": "en",
    "container": {
        "type": "Journal",
        "titles": [
            {
                "value": "Journal of Science & Technology",
                "type": "PrincipalTitle"
            }
        ],
        "identifiers": [
            {
                "type": "ISSN",
                "value": "2456-5660",
                "medium": "electronic"
            }
        ],
        "issue": "Volume 5",
        "pages": {
            "first": "100",
            "last": "106"
        }
    },
    "links": [
        {
            "url": "https://www.jst.org.in/index.php/pub/article/view/500",
            "return_type": "text/html",
            "primary": true
        },
        {
            "url": "https://www.jst.org.in/index.php/pub/article/download/500/441",
            "purpose": "text-mining",
            "return_type": "application/pdf"
        },
        {
            "url": "https://www.jst.org.in/index.php/pub/article/download/500/1529",
            "purpose": "text-mining",
            "return_type": "application/xml"
        }
    ],
    "abstract": {
        "value": "In the last few years, face recognitions owned considerable consideration and liked together of the foremost used functions within the area of image evaluation and recognition. Face detection reflects on consideration of an incredible section of face attention operations. The technique of face detection in pixels is elaborate with many features’ variabilities provided throughout human faces. Faces include pose, expression, smile, role and orientation, pores and complexion, the presence of glasses or facial hair, variations in digicam gain, lighting conditions, and photo resolutions. Haar Cascade classifier is of outstanding assist when performing this undertaking smoothly. Face detection goes to possess a dramatic impression on the face detection field, as a result, familiarizing yourself with its functions like attendance recording system with the help of camera, Mask detection system. In this paper, we proposed a face detection system for the utilization of computer learning, especially OpenCV. The mandatory step required is face detection which we did with the usage of a broadly used step referred to as the haarcascade_frontalface_default classifier, python and its module.",
        "lang": "en"
    },
    "license": {
        "url": "https://creativecommons.org/licenses/by/4.0",
        "start": "2020-10-16",
        "applies_to": "vor"
    },
    "references": [
        {
            "key": "ref1",
            "unstructured": "Shervin EMAMI,ValentinPetruțSUCIU,Facial Recognition using OpenCV, Journal of Mobile, Embedded and Distributed Systems,2012, ISSN 2067-4074, P.no.38,https://www.researchgate.net/publication/267426877_Facial_Recognition_using_OpenCV"
        },
        {
            "key": "ref2",
            "doi": "10.35940/ijrte.e5753.018520",
            "unstructured": "J. Manikandan, S. Lakshmi Prathyusha, P. Sai Kumar, Y. Jaya Chandra, M. Umaditya Hanuman. Face Detection and Recognition using Open CV Based on Fisher Faces Algorithm, Proceedings of International Journal of Recent Technology and Engineering (IJRTE), ISSN: 2277-3878, page no. 1 Face Detection and Recognition using Open CV... – IJRTE"
        },
        {
            "key": "ref3",
            "unstructured": "Shervin EMAMI1, Valentin Petruț SUCIU2, Facial Recognition using OpenCV, Proceedings of Journal of Mobile, Embedded and Distributed Systems, ISSN: 2067–4074, page no. 2, (PDF) Facial Recognition using OpenC V–ResearchGate"
        },
        {
            "key": "ref4",
            "unstructured": "Prof. P Y Kumbhar, Mohammad Attaullah, Shubham Dhere, ShivkumarHipparagi, Real Time Face Detection and Tracking Using OpenCV, Proceedings of INTERNATIONAL JOURNAL FOR RESEARCH IN EMERGING SCIENCE AND TECHNOLOGY, E-ISSN: 2349-7610, Page no. 2,Real Time Face Detection and Tracking Using OpenCV–ijrest Mrs. Madhuram.M, B. Prithvi Kumar, Lakshman Sridhar, Nishanth Prem, Venkatesh Prasad, Face Detection and Recognition Using OpenCV, Proceedings of International Research Journal of Engineering and Technology (IRJET), p-ISSN: 2395-0072,Face Detection and Recognition Using OpenCV-irjet"
        },
        {
            "key": "ref5",
            "doi": "10.2139/ssrn.4236516",
            "unstructured": "PrathameshTimse,Pranav Aggarwal, Prakhar Sinha,Neel Vora, Face Recognition Based Door Lock System Using Opencv and C# with Remote Access and Security Features., Proceedings of PrathameshTimse et al Int. Journal of Engineering Research and Applications,ISSN : 2248-9622, Face Recognition Based Door Lock System Using Opencv"
        },
        {
            "key": "ref6",
            "unstructured": "Manav Bansal, Sohan Garg, Facial Detection & Recognition Using Open CV library, Proceedings of 2Sir Chhotu Ram Institute of Engg. and Tech., CCS University, Meerut, Uttar Pradesh, India, ISSN : 0976-8491,Facial Detection & Recognition Using Open CV library-ijcst"
        },
        {
            "key": "ref7",
            "doi": "10.34218/ijcet.10.3.2019.016",
            "unstructured": "Manav Bansal, Face Recognition Implementation on Raspberrypi Using Opencv and Python, Proceedings of International Journal of Computer Engineering and Technology. pp. 141-144., ISSN Print: 0976-6367 and ISSN Online: 0976–6375,Face Recognition Implementation on Raspberrypi Using"
        },
        {
            "key": "ref8",
            "doi": "10.1109/iceca.2017.8203730",
            "unstructured": "Kruti Goyal; Kartikey Agarwal; Rishi Kumar, Face detection and tracking: Using OpenCV, Proceedings of 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA),Electronic ISBN: 978-1-7281-4826-7 Print on Demand(PoD) ISBN: 978-1-7281-4827-4,Face Detection and Recognition Using OpenCV-IEEE Xplore"
        },
        {
            "key": "ref9",
            "unstructured": "LAHIRU DINALANKARA, Face Detection & Face Recognition Using Open Computer Vision Classifies., Proceedings of Robotic Visual Perception and Autonomy Faculty of Science and Engineering Plymouth University, (PDF) Face Detection & Face Recognition Using Open"
        },
        {
            "key": "ref10",
            "unstructured": "MAMATA S. KALAS, REAL TIME FACE DETECTION AND TRACKING USING OPENCV, Proceedings of IRF International Conference, 5th & 6th February 2014, Pune India., ISBN: 978-93-82702-56-6, Page no. 1,Real time face detection and tracking using Open CV"
        }
    ],
    "record": {
        "registrant": "Longman Publishers",
        "registered": "2020-10-29",
        "updated": "2026-09-17",
        "issue_number": 1,
        "source": "crossref-api",
        "source_agency": "Crossref (member 25296)"
    }
}

The Kernel Metadata Declaration

DOIMetadataKernel.xsd · namespace http://www.doi.org/2010/DOISchema · Attribute Value Sets 2.3 · draft — the agency's DOI name is filled in on accreditation

<?xml version="1.0" encoding="UTF-8"?>
<!-- DRAFT declaration: Smart Scholars is not yet a DOI Registration Agency. registrationAgencyDoiName is a marker (10.0/ is no RA's prefix) and is filled in on accreditation. -->
<kernelMetadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.doi.org/2010/DOISchema https://www.doi.org/doi_schemas/DOIMetadataKernel.xsd" xmlns="http://www.doi.org/2010/DOISchema">
  <referentDoiName>10.46243/jst.2020.v5.i6.pp100-106</referentDoiName>
  <primaryReferentType>Creation</primaryReferentType>
  <registrationAgencyDoiName>10.0/smart-scholars-draft</registrationAgencyDoiName>
  <issueDate>2026-10-04</issueDate>
  <issueNumber>1</issueNumber>
  <referentCreation>
    <name primaryLanguage="en">
      <value>Face Detection with Machine Learning and Open CV Classifier</value>
      <type>PrincipalTitle</type>
    </name>
    <identifier>
      <nonUriValue>10.46243/jst.2020.v5.i6.pp100-106</nonUriValue>
      <uri returnType="text/html" doesContentNegotiation="true">https://doi.org/10.46243/jst.2020.v5.i6.pp100-106</uri>
      <type>DOI</type>
    </identifier>
    <identifier>
      <uri returnType="text/html">https://www.jst.org.in/index.php/pub/article/view/500</uri>
      <type>URI</type>
    </identifier>
    <identifier>
      <uri>https://www.jst.org.in/index.php/pub/article/download/500/441</uri>
      <type>URI</type>
    </identifier>
    <identifier>
      <uri returnType="application/xml">https://www.jst.org.in/index.php/pub/article/download/500/1529</uri>
      <type>URI</type>
    </identifier>
    <structuralType>Digital</structuralType>
    <mode>Visual</mode>
    <character>Language</character>
    <type>JournalArticle</type>
    <principalAgent>
      <name>
        <value>Longman Publishers</value>
        <type>PrincipalName</type>
      </name>
      <role>Publisher</role>
    </principalAgent>
    <linkedCreation>
      <name>
        <value>Journal of Science &amp; Technology</value>
        <type>PrincipalTitle</type>
      </name>
      <identifier>
        <nonUriValue>2456-5660</nonUriValue>
        <type>ISSN</type>
      </identifier>
      <referentCreationRole>Part</referentCreationRole>
      <referentCreationSequenceIdentifier>
        <value>Volume 5</value>
        <type>IssueNumber</type>
      </referentCreationSequenceIdentifier>
      <referentCreationSequenceIdentifier>
        <value>100-106</value>
        <type>PageNumber</type>
      </referentCreationSequenceIdentifier>
    </linkedCreation>
    <language>en</language>
    <languageOfReferentContent>
      <language>en</language>
      <languageOfReferentContentType>Original</languageOfReferentContentType>
    </languageOfReferentContent>
    <creationDate>
      <date>2020-10-16</date>
      <creationDateType>PublicationDate</creationDateType>
    </creationDate>
  </referentCreation>
</kernelMetadata>
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