{"id":"https://openalex.org/W2295211975","doi":"https://doi.org/10.3233/kes-150313","title":"Robust face detection using haar features with weber local descriptor and local binary pattern","display_name":"Robust face detection using haar features with weber local descriptor and local binary pattern","publication_year":2015,"publication_date":"2015-07-30","ids":{"openalex":"https://openalex.org/W2295211975","doi":"https://doi.org/10.3233/kes-150313","mag":"2295211975"},"language":"en","primary_location":{"id":"doi:10.3233/kes-150313","is_oa":false,"landing_page_url":"https://doi.org/10.3233/kes-150313","pdf_url":null,"source":{"id":"https://openalex.org/S133764092","display_name":"International Journal of Knowledge-based and Intelligent Engineering Systems","issn_l":"1327-2314","issn":["1327-2314","1875-8827"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Knowledge-based and Intelligent Engineering Systems","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/A5060101024","display_name":"Mohammed Khammari","orcid":"https://orcid.org/0000-0001-5730-0416"},"institutions":[{"id":"https://openalex.org/I108754898","display_name":"Badji Mokhtar University","ror":"https://ror.org/03sf55932","country_code":"DZ","type":"education","lineage":["https://openalex.org/I108754898"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"M. Khammari","raw_affiliation_strings":["LRI Laboratory, Badji Mokhtar-Annaba University, Annaba, Algeria"],"affiliations":[{"raw_affiliation_string":"LRI Laboratory, Badji Mokhtar-Annaba University, Annaba, Algeria","institution_ids":["https://openalex.org/I108754898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108234880","display_name":"Yamina Tlili","orcid":null},"institutions":[{"id":"https://openalex.org/I108754898","display_name":"Badji Mokhtar University","ror":"https://ror.org/03sf55932","country_code":"DZ","type":"education","lineage":["https://openalex.org/I108754898"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Y. Tlili","raw_affiliation_strings":["LRI Laboratory, Badji Mokhtar-Annaba University, Annaba, Algeria"],"affiliations":[{"raw_affiliation_string":"LRI Laboratory, Badji Mokhtar-Annaba University, Annaba, Algeria","institution_ids":["https://openalex.org/I108754898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022492563","display_name":"Chemesse Ennehar Bencheriet","orcid":"https://orcid.org/0000-0002-8615-5657"},"institutions":[{"id":"https://openalex.org/I4210097536","display_name":"University of Guelma","ror":"https://ror.org/00xe6p546","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210097536"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Ch. Bencheriet","raw_affiliation_strings":["LAIG Laboratory, Guelma University, Guelma, Algeria"],"affiliations":[{"raw_affiliation_string":"LAIG Laboratory, Guelma University, Guelma, Algeria","institution_ids":["https://openalex.org/I4210097536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060101024"],"corresponding_institution_ids":["https://openalex.org/I108754898"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.15786741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":"2","first_page":"117","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9940000176429749,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9854999780654907,"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/local-binary-patterns","display_name":"Local binary patterns","score":0.9496334195137024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7995245456695557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7963453531265259},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.7889783382415771},{"id":"https://openalex.org/keywords/haar-like-features","display_name":"Haar-like features","score":0.6849353313446045},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6616955399513245},{"id":"https://openalex.org/keywords/haar","display_name":"Haar","score":0.6035215854644775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5276297926902771},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.49371275305747986},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.48354172706604004},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42805781960487366},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4143028259277344},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3992719352245331},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3986901640892029},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.35063937306404114},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.3354305624961853},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.2890978157520294}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.9496334195137024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7995245456695557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7963453531265259},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.7889783382415771},{"id":"https://openalex.org/C123134398","wikidata":"https://www.wikidata.org/wiki/Q2493819","display_name":"Haar-like features","level":5,"score":0.6849353313446045},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6616955399513245},{"id":"https://openalex.org/C187029792","wikidata":"https://www.wikidata.org/wiki/Q2179112","display_name":"Haar","level":3,"score":0.6035215854644775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5276297926902771},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.49371275305747986},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.48354172706604004},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42805781960487366},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4143028259277344},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3992719352245331},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3986901640892029},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.35063937306404114},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.3354305624961853},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.2890978157520294},{"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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/kes-150313","is_oa":false,"landing_page_url":"https://doi.org/10.3233/kes-150313","pdf_url":null,"source":{"id":"https://openalex.org/S133764092","display_name":"International Journal of Knowledge-based and Intelligent Engineering Systems","issn_l":"1327-2314","issn":["1327-2314","1875-8827"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Knowledge-based and Intelligent Engineering Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W32941422","https://openalex.org/W587036822","https://openalex.org/W1499946108","https://openalex.org/W1512444571","https://openalex.org/W1972431581","https://openalex.org/W2013243962","https://openalex.org/W2039051707","https://openalex.org/W2103577141","https://openalex.org/W2114072031","https://openalex.org/W2120284346","https://openalex.org/W2124595358","https://openalex.org/W2130258210","https://openalex.org/W2133003524","https://openalex.org/W2135478857","https://openalex.org/W2155511848","https://openalex.org/W2159686933","https://openalex.org/W2164598857","https://openalex.org/W2170110077","https://openalex.org/W2217896605","https://openalex.org/W3097096317","https://openalex.org/W3169507310"],"related_works":["https://openalex.org/W3154833188","https://openalex.org/W1560709653","https://openalex.org/W1017149716","https://openalex.org/W1970925716","https://openalex.org/W2363386497","https://openalex.org/W1575861008","https://openalex.org/W2391164842","https://openalex.org/W2294130405","https://openalex.org/W2063332791","https://openalex.org/W2540447849"],"abstract_inverted_index":{"Face":[0],"detection":[1],"is":[2,41],"the":[3,39,87,91,101,110,137,143,148,152,155,159,163,188],"first":[4],"step":[5],"in":[6,35,86,170],"many":[7],"visual":[8],"processing":[9],"systems":[10],"like":[11],"face":[12,32],"recognition,":[13,15],"emotion":[14],"gender":[16],"recognition":[17],"and":[18,30,53,69,93,119,179],"etc.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23],"propose":[24],"a":[25,171],"novel":[26],"method":[27,186],"for":[28],"fast":[29],"reliable":[31],"detection,":[33],"especially":[34],"complex":[36],"background.":[37],"Firstly,":[38],"image":[40,78],"divided":[42],"into":[43],"small":[44],"blocks":[45],"to":[46,84,99,130,174],"extract":[47],"Local":[48,56,66,72,112,120],"Binary":[49,67,121],"Pattern":[50,68,122],"(LBP)":[51,123],"features":[52,62,95,165,197,200],"Simplified":[54,70],"Weber":[55,71,111],"Descriptor":[57,73,113],"(SWLD)":[58],"features.":[59],"Secondly,":[60],"these":[61],"compares":[63],"values":[64],"of":[65,104,145,154],"calculated":[74],"over":[75],"two":[76,126],"adjacent":[77],"subregions.":[79],"These":[80,125],"subregions":[81],"are":[82,96,128,166,191],"similar":[83,173],"those":[85],"Haar":[88,105,194],"masks.":[89],"Thirdly,":[90],"HLBP":[92],"HSWLD":[94],"combined":[97],"together":[98],"ensure":[100],"classification":[102],"capability":[103],"features,":[106,195],"an":[107],"improvement":[108],"on":[109,193],"(WLD)":[114],"contains":[115],"differential":[116,134],"excitation":[117,135],"component":[118],"component.":[124],"components":[127],"complementary":[129],"each":[131],"other.":[132],"Specifically,":[133],"preserves":[136],"local":[138],"intensity":[139,160],"information":[140],"but":[141,157],"omits":[142],"orientations":[144,153],"edges.":[146],"On":[147],"contrary,":[149],"LBP":[150,199],"describes":[151],"edges":[156],"ignore":[158],"information.":[161],"Finally,":[162],"fused":[164],"boosted":[167],"using":[168],"AdaBoost":[169],"framework":[172],"that":[175,184,190],"proposed":[176],"by":[177],"Viola":[178],"Jones.":[180],"Experimental":[181],"results":[182],"show":[183],"our":[185],"outperforms":[187],"methods":[189],"based":[192],"SWLD":[196],"or":[198],"individually.":[201]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
