{"id":"https://openalex.org/W2425229713","doi":"https://doi.org/10.1109/isda.2015.7489251","title":"Implementation of skin color selection prior to Gabor filter and neural network to reduce execution time of face detection","display_name":"Implementation of skin color selection prior to Gabor filter and neural network to reduce execution time of face detection","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2425229713","doi":"https://doi.org/10.1109/isda.2015.7489251","mag":"2425229713"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2015.7489251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2015.7489251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 15th International Conference on Intelligent Systems Design and Applications (ISDA)","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/A5083187100","display_name":"Mejda Chihaoui","orcid":"https://orcid.org/0000-0002-4432-0319"},"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":"Mejda Chihaoui","raw_affiliation_strings":["Research Laboratory in Intelligent Machines, University of Sfax, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"Research Laboratory in Intelligent Machines, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002404957","display_name":"Akram Elkefi","orcid":null},"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":"Akram Elkefi","raw_affiliation_strings":["Research Laboratory in Intelligent Machines, University of Sfax, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"Research Laboratory in Intelligent Machines, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084683425","display_name":"Wajdi Bellil","orcid":null},"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":"Wajdi Bellil","raw_affiliation_strings":["Research Laboratory in Intelligent Machines, University of Sfax, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"Research Laboratory in Intelligent Machines, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107399128","display_name":"Chokri Ben Amar","orcid":null},"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":"Chokri Ben Amar","raw_affiliation_strings":["Research Laboratory in Intelligent Machines, University of Sfax, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"Research Laboratory in Intelligent Machines, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083187100"],"corresponding_institution_ids":["https://openalex.org/I142899784"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62996215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"11","issue":null,"first_page":"341","last_page":"346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9970999956130981,"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":0.9970999956130981,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9535999894142151,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9323999881744385,"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":0.8412871360778809},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.7769703269004822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7390071153640747},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6454169750213623},{"id":"https://openalex.org/keywords/gabor-wavelet","display_name":"Gabor wavelet","score":0.6265629529953003},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6197155714035034},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6134070754051208},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5805842876434326},{"id":"https://openalex.org/keywords/gabor-transform","display_name":"Gabor transform","score":0.5511366128921509},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5494638085365295},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5342236161231995},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5118305087089539},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4879452586174011},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4132292568683624},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3217076063156128},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.1559147834777832},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.06468608975410461}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8412871360778809},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.7769703269004822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7390071153640747},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6454169750213623},{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.6265629529953003},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6197155714035034},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6134070754051208},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5805842876434326},{"id":"https://openalex.org/C173149727","wikidata":"https://www.wikidata.org/wiki/Q996397","display_name":"Gabor transform","level":4,"score":0.5511366128921509},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5494638085365295},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5342236161231995},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5118305087089539},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4879452586174011},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4132292568683624},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3217076063156128},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.1559147834777832},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.06468608975410461},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isda.2015.7489251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2015.7489251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 15th International Conference on Intelligent Systems Design and Applications (ISDA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W266464162","https://openalex.org/W1584593948","https://openalex.org/W1966915623","https://openalex.org/W1980771414","https://openalex.org/W1982479144","https://openalex.org/W2015993572","https://openalex.org/W2024495636","https://openalex.org/W2029176216","https://openalex.org/W2071881355","https://openalex.org/W2078361178","https://openalex.org/W2081874008","https://openalex.org/W2102372511","https://openalex.org/W2102544846","https://openalex.org/W2104536392","https://openalex.org/W2121527586","https://openalex.org/W2124351082","https://openalex.org/W2129041434","https://openalex.org/W2143774752","https://openalex.org/W2151376243","https://openalex.org/W2160380264","https://openalex.org/W2167393057","https://openalex.org/W2169718527","https://openalex.org/W3169507310","https://openalex.org/W6645506576","https://openalex.org/W6654401516","https://openalex.org/W6668323803","https://openalex.org/W6675452828","https://openalex.org/W6684783116"],"related_works":["https://openalex.org/W2070838085","https://openalex.org/W2495360253","https://openalex.org/W3156532881","https://openalex.org/W2382852560","https://openalex.org/W2355879620","https://openalex.org/W1830749786","https://openalex.org/W2066448268","https://openalex.org/W2162496653","https://openalex.org/W2373012758","https://openalex.org/W2103325943"],"abstract_inverted_index":{"This":[0,79],"paper":[1,40],"proposes":[2],"a":[3,124,154,165],"face":[4,28,108,141,166],"detection":[5,100],"system":[6,105],"based":[7],"on":[8,55,131],"the":[9,12,16,34,38,42,64,83,104,107,110,115,127,132,137,140,145,151],"skin":[10,45,65,69,91,134],"color,":[11],"Gabor":[13,22,50,128,146],"filter":[14,129,147],"and":[15,24,52,101,113],"neural":[17,25,53,155],"network.":[18],"The":[19],"use":[20],"of":[21,37,44,139,153],"filters":[23,51],"networks":[26,54],"for":[27],"recognition":[29],"is":[30,41],"not":[31],"new.":[32],"However,":[33],"principal":[35],"focus":[36],"proposed":[39],"implementation":[43],"color":[46,66],"selection":[47],"prior":[48],"to":[49,57,67,76,82,97,102,119,174],"order":[56],"reduce":[58],"computation":[59],"time.":[60,117],"First,":[61],"we":[62,122],"analyze":[63],"extract":[68,120],"areas":[70,112],"which":[71,158],"have":[72],"an":[73,89,160],"important":[74],"probability":[75],"be":[77],"faces.":[78],"technique":[80,125],"robust":[81],"lighting":[84],"variation":[85],"allows":[86],"extracting,":[87],"from":[88],"image,":[90],"areas.":[92],"We":[93],"utilize":[94],"this":[95],"method":[96],"avoid":[98],"wrong":[99],"help":[103],"detect":[106],"in":[109],"right":[111],"minimize":[114],"research":[116],"Second,":[118],"features,":[121],"propose":[123],"using":[126],"applied":[130],"localized":[133],"space.":[135],"Finally,":[136],"vectors":[138],"features":[142],"obtained":[143],"by":[144],"are":[148,172],"used":[149],"as":[150,164],"input":[152,161],"network":[156],"classifier":[157],"classifies":[159],"image":[162],"pixel":[163],"or":[167],"nonface":[168],"pixel.":[169],"Some":[170],"results":[171],"shown":[173],"approve":[175],"our":[176],"approach":[177],"efficiency.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}