{"id":"https://openalex.org/W2119317829","doi":"https://doi.org/10.1109/cvprw.2009.5204298","title":"Face recognition by fusion of local and global matching scores using DS theory: An evaluation with uni-classifier and multi-classifier paradigm","display_name":"Face recognition by fusion of local and global matching scores using DS theory: An evaluation with uni-classifier and multi-classifier paradigm","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2119317829","doi":"https://doi.org/10.1109/cvprw.2009.5204298","mag":"2119317829"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2009.5204298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204298","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1002.0382","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083345400","display_name":"Dakshina Ranjan Kisku","orcid":"https://orcid.org/0000-0003-1116-2972"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dakshina R. Kisku","raw_affiliation_strings":["Engineering College, India","Dr. B.C. Eng. Coll., India"],"affiliations":[{"raw_affiliation_string":"Engineering College, India","institution_ids":[]},{"raw_affiliation_string":"Dr. B.C. Eng. Coll., India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064744996","display_name":"M\u00e1ssimo Tistarelli","orcid":"https://orcid.org/0000-0002-3406-3048"},"institutions":[{"id":"https://openalex.org/I159650629","display_name":"University of Sassari","ror":"https://ror.org/01bnjbv91","country_code":"IT","type":"education","lineage":["https://openalex.org/I159650629"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo Tistarelli","raw_affiliation_strings":["University of Sassari, Sardinia, Italy","University of Sassari, Alghero, Italy"],"affiliations":[{"raw_affiliation_string":"University of Sassari, Sardinia, Italy","institution_ids":["https://openalex.org/I159650629"]},{"raw_affiliation_string":"University of Sassari, Alghero, Italy","institution_ids":["https://openalex.org/I159650629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046175002","display_name":"Jamuna Kanta Sing","orcid":"https://orcid.org/0000-0003-1006-6006"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jamuna Kanta Sing","raw_affiliation_strings":["Jadavpur University, Kolkata, India","Jadavpur University, Kolkata. India#TAB#"],"affiliations":[{"raw_affiliation_string":"Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]},{"raw_affiliation_string":"Jadavpur University, Kolkata. India#TAB#","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100541144","display_name":"Phalguni Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Phalguni Gupta","raw_affiliation_strings":["IIT Kanpur, Kanpur, India","I.I.T. Kanpur, Kanpur, India"],"affiliations":[{"raw_affiliation_string":"IIT Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]},{"raw_affiliation_string":"I.I.T. Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083345400"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1238,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.93531157,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"60","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973000288009644,"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/T11448","display_name":"Face recognition and analysis","score":0.9972000122070312,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8115838766098022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7206534147262573},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7075509428977966},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6920933127403259},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6500434875488281},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.6392642259597778},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.582485020160675},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5623900890350342},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.551521360874176},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5010995864868164},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4737623333930969},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4199613034725189},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.3243875503540039},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20119425654411316}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8115838766098022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7206534147262573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7075509428977966},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6920933127403259},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6500434875488281},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.6392642259597778},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.582485020160675},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5623900890350342},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.551521360874176},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5010995864868164},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4737623333930969},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4199613034725189},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.3243875503540039},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20119425654411316},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvprw.2009.5204298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204298","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1002.0382","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1002.0382","pdf_url":"https://arxiv.org/pdf/1002.0382","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1002.0382","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1002.0382","pdf_url":"https://arxiv.org/pdf/1002.0382","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2119317829.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W649039061","https://openalex.org/W1494981048","https://openalex.org/W1498097761","https://openalex.org/W1506778248","https://openalex.org/W1512444571","https://openalex.org/W1579343146","https://openalex.org/W1975515564","https://openalex.org/W2015767608","https://openalex.org/W2048715563","https://openalex.org/W2103560185","https://openalex.org/W2109975807","https://openalex.org/W2118312744","https://openalex.org/W2120954940","https://openalex.org/W2121323570","https://openalex.org/W2124386111","https://openalex.org/W2151103935","https://openalex.org/W2165956633","https://openalex.org/W2169200946","https://openalex.org/W2180187800","https://openalex.org/W4233340855","https://openalex.org/W6621293077","https://openalex.org/W6630293618","https://openalex.org/W6630381154","https://openalex.org/W6634498038","https://openalex.org/W6678132472"],"related_works":["https://openalex.org/W2357703825","https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W4387163326","https://openalex.org/W2040482211","https://openalex.org/W325114128","https://openalex.org/W2336272890","https://openalex.org/W2970510692","https://openalex.org/W4312238398","https://openalex.org/W4308999963"],"abstract_inverted_index":{"Faces":[0],"are":[1,17,114,144],"highly":[2],"deformable":[3],"objects":[4],"which":[5],"may":[6],"easily":[7],"change":[8],"their":[9],"appearance":[10],"over":[11],"time.":[12],"Not":[13],"all":[14,111],"face":[15,32,43,51,66,152,165],"areas":[16,29],"subject":[18],"to":[19,37,64,95,117,124,135],"the":[20,25,31,39,56,100,103,107,126,129,137,147,150,158,163,170],"same":[21],"variability.":[22],"Therefore":[23],"decoupling":[24],"information":[26],"from":[27,75],"independent":[28,65],"of":[30,34,41,60,162,172],"is":[33,79,84,133],"paramount":[35],"importance":[36],"improve":[38],"robustness":[40],"any":[42],"recognition":[44,52,74,166],"technique.":[45],"This":[46],"paper":[47],"presents":[48],"a":[49,69,119],"robust":[50],"technique":[53],"based":[54,85],"on":[55,86],"extraction":[57],"and":[58,71,102,149,160],"matching":[59,77,87,109,139],"SIFT":[61,91,112],"features":[62,92,113],"related":[63],"areas.":[67],"Both":[68],"global":[70,108],"local":[72,82],"(as":[73],"parts)":[76],"strategy":[78,83],"proposed.":[80],"The":[81,141,154],"individual":[88],"salient":[89],"facial":[90,96],"as":[93,99],"connected":[94],"landmarks":[97],"such":[98],"eyes":[101],"mouth.":[104],"As":[105],"for":[106],"strategy,":[110],"combined":[115],"together":[116],"form":[118],"single":[120],"feature.":[121],"In":[122],"order":[123],"reduce":[125],"identification":[127],"errors,":[128],"Dempster-Shafer":[130],"decision":[131],"theory":[132],"applied":[134],"fuse":[136],"two":[138],"techniques.":[140],"proposed":[142,164],"algorithms":[143],"evaluated":[145],"with":[146,177],"ORL":[148],"IITK":[151],"databases.":[153],"experimental":[155],"results":[156],"demonstrate":[157],"effectiveness":[159],"potential":[161],"techniques":[167],"also":[168],"in":[169],"case":[171],"partially":[173],"occluded":[174],"faces":[175],"or":[176],"missing":[178],"information.":[179]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":5}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}