Journal article Open Access
Telugu Maddileti; G. Shriphad Rao; Vaddemani Sai Madhav; Ganti Sharan
<?xml version='1.0' encoding='utf-8'?> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#"> <rdf:Description rdf:about="https://zenodo.org/record/5602630"> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/5602630</dct:identifier> <foaf:page rdf:resource="https://zenodo.org/record/5602630"/> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Telugu Maddileti</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>Assistant Professor, ECM Department, Sreenidhi Institute of Science and Technology, Ghatekesar, Telangana-501301.</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>G. Shriphad Rao</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>ECM Department, Sreenidhi Institute of Science and Technology, Ghatekesar, Telangana-501301</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Vaddemani Sai Madhav</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>ECM Department, Sreenidhi Institute of Science and Technology, Ghatekesar, Telangana-501301</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Ganti Sharan</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>ECM Department, Sreenidhi Institute of Science and Technology, Ghatekesar, Telangana-501301</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:title>Home Security using Face Recognition Technology</dct:title> <dct:publisher> <foaf:Agent> <foaf:name>Zenodo</foaf:name> </foaf:Agent> </dct:publisher> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2019</dct:issued> <dcat:keyword>Face recognition, Face-detection, Eigen-faces, Fisher-faces, CNN, neural network, Residual network.</dcat:keyword> <dct:subject> <skos:Concept> <skos:prefLabel>2249-8958</skos:prefLabel> <skos:inScheme> <skos:ConceptScheme> <dct:title>issn</dct:title> </skos:ConceptScheme> </skos:inScheme> </skos:Concept> </dct:subject> <dct:subject> <skos:Concept> <skos:prefLabel>B3917129219/2019©BEIESP</skos:prefLabel> <skos:inScheme> <skos:ConceptScheme> <dct:title>handle</dct:title> </skos:ConceptScheme> </skos:inScheme> </skos:Concept> </dct:subject> <schema:sponsor> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)</foaf:name> <org:memberOf> <foaf:Organization> <foaf:name>Publisher</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </schema:sponsor> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2019-12-30</dct:issued> <dct:language rdf:resource="http://publications.europa.eu/resource/authority/language/ENG"/> <owl:sameAs rdf:resource="https://zenodo.org/record/5602630"/> <adms:identifier> <adms:Identifier> <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/5602630</skos:notation> <adms:schemeAgency>url</adms:schemeAgency> </adms:Identifier> </adms:identifier> <dct:relation rdf:resource="http://issn.org/resource/ISSN/2249-8958"/> <owl:sameAs rdf:resource="https://doi.org/10.35940/ijeat.B3917.129219"/> <dct:description><p>Face is the easiest way to penetrate each other&#39;s personal identity. Face recognition is a method of personal identification using the personal characteristics of an individual to decide the identification of a person. The method of human face recognition consists basically of two levels, namely face detection and face recognition. There are three types of methods that are currently popular in the developed face recognition pattern, those are Eigen faces algorithm, Fisher faces algorithm and CNN neural network for face recognition</p></dct:description> <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/> <dct:accessRights> <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess"> <rdfs:label>Open Access</rdfs:label> </dct:RightsStatement> </dct:accessRights> <dct:license rdf:resource="https://creativecommons.org/licenses/by/4.0/legalcode"/> <dcat:distribution> <dcat:Distribution> <dcat:accessURL rdf:resource="https://doi.org/10.35940/ijeat.B3917.129219"/> <dcat:byteSize>637628</dcat:byteSize> <dcat:downloadURL rdf:resource="https://zenodo.org/record/5602630/files/B3917129219.pdf"/> <dcat:mediaType>application/pdf</dcat:mediaType> </dcat:Distribution> </dcat:distribution> </rdf:Description> </rdf:RDF>
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