{"id":"https://openalex.org/W2571144456","doi":"https://doi.org/10.1142/s0218001417560122","title":"A One-Sample per Individual Face Recognition Algorithm Based on Multiple One-Dimensional Projection Lines","display_name":"A One-Sample per Individual Face Recognition Algorithm Based on Multiple One-Dimensional Projection Lines","publication_year":2017,"publication_date":"2017-01-10","ids":{"openalex":"https://openalex.org/W2571144456","doi":"https://doi.org/10.1142/s0218001417560122","mag":"2571144456"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001417560122","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001417560122","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044288285","display_name":"David Delgado\u2010G\u00f3mez","orcid":"https://orcid.org/0000-0002-2976-2602"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"David Delgado-G\u00f3mez","raw_affiliation_strings":["Department of Statistics, Carlos III University, C/Madrid, 126, Getafe (Madrid), 28938, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Carlos III University, C/Madrid, 126, Getafe (Madrid), 28938, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058326107","display_name":"Diego Ruiz-Hern\u00e1ndez","orcid":"https://orcid.org/0000-0001-5538-6930"},"institutions":[{"id":"https://openalex.org/I4210121976","display_name":"Centro de Estudios Monetarios y Financieros","ror":"https://ror.org/035h6g182","country_code":"ES","type":"education","lineage":["https://openalex.org/I4210121976"]},{"id":"https://openalex.org/I4403386682","display_name":"CUNEF Universidad","ror":"https://ror.org/02web8j86","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386682"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Diego Ruiz-Hern\u00e1ndez","raw_affiliation_strings":["Department of Quantitative Methods, University College for Financial Studies, Leonardo Prieto Castro, 2, Madrid, 28040, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Quantitative Methods, University College for Financial Studies, Leonardo Prieto Castro, 2, Madrid, 28040, Spain","institution_ids":["https://openalex.org/I4210121976","https://openalex.org/I4403386682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044288285"],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00400565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":"07","first_page":"1756012","last_page":"1756012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7054242491722107},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6778901815414429},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.661969780921936},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6577059030532837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6567760705947876},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.653741717338562},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5839632749557495},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5317603349685669},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.506950855255127},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4908235967159271},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4289410710334778},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20126613974571228}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7054242491722107},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6778901815414429},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.661969780921936},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6577059030532837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6567760705947876},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.653741717338562},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5839632749557495},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5317603349685669},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.506950855255127},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4908235967159271},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4289410710334778},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20126613974571228},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001417560122","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001417560122","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1591385104","https://openalex.org/W1970748944","https://openalex.org/W1980729960","https://openalex.org/W1980878039","https://openalex.org/W1982850300","https://openalex.org/W2008107235","https://openalex.org/W2015252614","https://openalex.org/W2029230120","https://openalex.org/W2033419168","https://openalex.org/W2038165640","https://openalex.org/W2062019416","https://openalex.org/W2062104878","https://openalex.org/W2082278358","https://openalex.org/W2090504921","https://openalex.org/W2095189186","https://openalex.org/W2102544846","https://openalex.org/W2108767394","https://openalex.org/W2113537978","https://openalex.org/W2117553576","https://openalex.org/W2121647436","https://openalex.org/W2134262590","https://openalex.org/W2136405083","https://openalex.org/W2146694138","https://openalex.org/W2163808566","https://openalex.org/W3027968894"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W4205463238","https://openalex.org/W259157601","https://openalex.org/W2761785940","https://openalex.org/W4280506488","https://openalex.org/W2098693229","https://openalex.org/W2384651879"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,25,138],"novel":[4],"approach":[5],"for":[6,29],"face":[7],"recognition":[8],"when":[9],"only":[10],"one":[11,117],"sample":[12,118],"per":[13],"individual":[14,31,42],"is":[15,86],"available.":[16],"The":[17,52],"proposed":[18,84,135,147],"technique,":[19],"referred":[20],"to":[21,45,93,141],"as":[22],"MODPL,":[23],"determines":[24],"one-dimensional":[26],"projection":[27],"line":[28],"each":[30],"in":[32,49],"the":[33,40,46,50,56,59,64,73,78,83,94,100,116,128,134,142,146,150,153,158],"dataset.":[34],"Each":[35],"of":[36,58,72,88,99,123,152,157],"these":[37],"lines":[38,67],"discriminates":[39],"corresponding":[41],"with":[43,115],"respect":[44],"other":[47,109],"people":[48],"database.":[51],"vector":[53],"consisting":[54],"on":[55,63,127],"projections":[57,66],"individual\u2019s":[60],"raw":[61],"data":[62],"different":[65],"provides":[68],"an":[69],"excellent":[70],"characterization":[71],"individual.":[74],"Results":[75],"obtained":[76,96],"using":[77],"XM2VTS":[79],"database":[80],"show":[81],"that":[82,113],"technique":[85,148],"capable":[87],"achieving":[89],"classification":[90],"rates":[91],"similar":[92,140],"ones":[95],"by":[97],"means":[98],"Uniform-pursuit":[101],"algorithm":[102,136],"and":[103,130],"at":[104],"least":[105],"5%":[106],"higher":[107],"than":[108],"currently":[110],"used":[111],"techniques":[112],"deal":[114],"problem.":[119],"Two":[120],"additional":[121],"sets":[122],"experiments":[124],"were":[125],"conducted":[126],"BioID":[129],"AR":[131],"databases,":[132],"where":[133],"showed":[137],"performance":[139],"state-of-the-art":[143],"algorithms.":[144],"Moreover,":[145],"allows":[149],"visualization":[151],"most":[154],"discriminative":[155],"features":[156],"individuals.":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
