{"id":"https://openalex.org/W1973951297","doi":"https://doi.org/10.1109/his.2013.6920489","title":"Combined local features selection for face recognition based on Naïve Bayesian classification","display_name":"Combined local features selection for face recognition based on Naïve Bayesian classification","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W1973951297","doi":"https://doi.org/10.1109/his.2013.6920489","mag":"1973951297"},"language":"en","primary_location":{"id":"doi:10.1109/his.2013.6920489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2013.6920489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th International Conference on Hybrid Intelligent Systems (HIS 2013)","raw_type":"proceedings-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/A5023675135","display_name":"Wael Ouarda","orcid":"https://orcid.org/0000-0002-6338-7092"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Wael Ouarda","raw_affiliation_strings":["ITI Department Telecom Bretagne, Brest, France","Research Groups on Intelligent Machines, National School of Engineering of Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"ITI Department Telecom Bretagne, Brest, France","institution_ids":[]},{"raw_affiliation_string":"Research Groups on Intelligent Machines, National School of Engineering of Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003316553","display_name":"Han\u00e8ne Trichili","orcid":"https://orcid.org/0000-0003-4834-8658"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Hanene Trichili","raw_affiliation_strings":["ITI Department Telecom Bretagne, Brest, France","Research Groups on Intelligent Machines, National School of Engineering of Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"ITI Department Telecom Bretagne, Brest, France","institution_ids":[]},{"raw_affiliation_string":"Research Groups on Intelligent Machines, National School of Engineering of Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053613060","display_name":"Adel M. Alimi","orcid":"https://orcid.org/0000-0002-0642-3384"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Adel M. Alimi","raw_affiliation_strings":["Research Groups on Intelligent Machines, National School of Engineering of Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"Research Groups on Intelligent Machines, National School of Engineering of Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033753600","display_name":"Basel Solaiman","orcid":"https://orcid.org/0000-0002-5977-230X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Basel Solaiman","raw_affiliation_strings":["ITI Department Telecom Bretagne, Brest, France"],"affiliations":[{"raw_affiliation_string":"ITI Department Telecom Bretagne, Brest, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023675135"],"corresponding_institution_ids":["https://openalex.org/I142899784"],"apc_list":null,"apc_paid":null,"fwci":2.7216,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.91110132,"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":"240","last_page":"245"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9832000136375427,"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":0.9819999933242798,"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":0.7485046982765198},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.744772732257843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7170907855033875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6605930924415588},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5983458757400513},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5850284695625305},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5423487424850464},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5098706483840942},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4830675423145294},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4747379422187805},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46317723393440247},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.450672447681427},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.35236066579818726},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21795138716697693}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7485046982765198},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.744772732257843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7170907855033875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6605930924415588},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5983458757400513},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5850284695625305},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5423487424850464},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5098706483840942},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4830675423145294},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4747379422187805},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46317723393440247},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.450672447681427},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.35236066579818726},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21795138716697693},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/his.2013.6920489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2013.6920489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th International Conference on Hybrid Intelligent Systems (HIS 2013)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4300000071525574,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W194705566","https://openalex.org/W1480908657","https://openalex.org/W1545140005","https://openalex.org/W1569369988","https://openalex.org/W1881452810","https://openalex.org/W2041518486","https://openalex.org/W2063727988","https://openalex.org/W2110483379","https://openalex.org/W2119479037","https://openalex.org/W2130352044","https://openalex.org/W2131987814","https://openalex.org/W2143748665","https://openalex.org/W2153678774","https://openalex.org/W2158247472","https://openalex.org/W2231551754","https://openalex.org/W2305247472","https://openalex.org/W2970813906","https://openalex.org/W4233191240","https://openalex.org/W4285719527","https://openalex.org/W4295815669","https://openalex.org/W6639355794","https://openalex.org/W6681363596"],"related_works":["https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W4387163326","https://openalex.org/W2040482211","https://openalex.org/W2185537520","https://openalex.org/W3108145925","https://openalex.org/W325114128","https://openalex.org/W2336272890","https://openalex.org/W4312238398","https://openalex.org/W4308999963"],"abstract_inverted_index":{"Face":[0,98],"recognition":[1,30,46,76,99,117],"is":[2,85,102],"a":[3,41],"very":[4],"popular":[5],"biometric":[6],"solution":[7],"in":[8,87],"the":[9,17],"literature.":[10],"Several":[11],"solutions":[12],"are":[13,25],"presented":[14],"to":[15,124],"meet":[16],"needs":[18],"of":[19,28],"individual's":[20],"verification":[21],"or":[22],"identification.":[23],"There":[24],"three":[26],"types":[27],"face":[29,45,75,112],"approaches:":[31],"local,":[32],"global":[33,80,125],"and":[34,63,94,108,119],"hybrid.":[35],"In":[36],"this":[37,88],"paper,":[38],"we":[39],"proposed":[40,68],"local":[42],"approach":[43,69],"for":[44],"based":[47,78,90,103],"on":[48,79,91,104,110],"combined":[49],"features":[50,60],"selection":[51,61],"methods":[52],"like":[53],"Genetic":[54],"algorithm,":[55,58],"Gramdt":[56],"Shmidt":[57],"mRmR":[59],"algorithm":[62],"na\u00efve":[64,105],"Bayesian":[65,106],"classifier.":[66],"Our":[67,97],"will":[70],"be":[71],"compared":[72,123],"with":[73],"some":[74],"systems":[77],"features.":[81],"A":[82],"comparative":[83],"study":[84],"given":[86],"paper":[89],"Recognition":[92],"rates":[93],"Execution":[95],"times.":[96],"system,":[100],"which":[101],"classifier":[107],"tested":[109],"ORL":[111],"database,":[113],"has":[114],"showed":[115],"78.75%":[116],"rate":[118],"interesting":[120],"execution":[121],"times":[122],"approaches.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}