{"id":"https://openalex.org/W2918815323","doi":"https://doi.org/10.7287/peerj.preprints.27488v1","title":"An improved human skin detection and localization by using machine learning techniques in RGB and YCbCr color spaces","display_name":"An improved human skin detection and localization by using machine learning techniques in RGB and YCbCr color spaces","publication_year":2019,"publication_date":"2019-01-15","ids":{"openalex":"https://openalex.org/W2918815323","doi":"https://doi.org/10.7287/peerj.preprints.27488v1","mag":"2918815323"},"language":"en","primary_location":{"id":"doi:10.7287/peerj.preprints.27488v1","is_oa":true,"landing_page_url":"https://doi.org/10.7287/peerj.preprints.27488v1","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.7287/peerj.preprints.27488v1","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046958540","display_name":"Mohammad Mortazavi T.","orcid":null},"institutions":[{"id":"https://openalex.org/I181744264","display_name":"Kharazmi University","ror":"https://ror.org/05hsgex59","country_code":"IR","type":"education","lineage":["https://openalex.org/I181744264"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mohammad Mortazavi T.","raw_affiliation_strings":["Knowledge Engineering and Decision Science, Kharazmi University, Tehran, Tehran, IRAN, ISLAMIC REPUBLIC OF"],"affiliations":[{"raw_affiliation_string":"Knowledge Engineering and Decision Science, Kharazmi University, Tehran, Tehran, IRAN, ISLAMIC REPUBLIC OF","institution_ids":["https://openalex.org/I181744264"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061789568","display_name":"Omid Mahdi Ebadati E.","orcid":"https://orcid.org/0000-0002-2688-9595"},"institutions":[{"id":"https://openalex.org/I181744264","display_name":"Kharazmi University","ror":"https://ror.org/05hsgex59","country_code":"IR","type":"education","lineage":["https://openalex.org/I181744264"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Omid Mahdi Ebadati E.","raw_affiliation_strings":["Mathematics & Computer Science, Kharazmi University, Tehran, Tehran, IRAN, ISLAMIC REPUBLIC OF"],"affiliations":[{"raw_affiliation_string":"Mathematics & Computer Science, Kharazmi University, Tehran, Tehran, IRAN, ISLAMIC REPUBLIC OF","institution_ids":["https://openalex.org/I181744264"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046958540"],"corresponding_institution_ids":["https://openalex.org/I181744264"],"apc_list":null,"apc_paid":null,"fwci":0.4049,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63617341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9585000276565552,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9585000276565552,"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/T10057","display_name":"Face and Expression Recognition","score":0.9358999729156494,"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":0.9067999720573425,"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/ycbcr","display_name":"YCbCr","score":0.8958001136779785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8541008830070496},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.8165085315704346},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7407066226005554},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7256565690040588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7071018218994141},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6726062297821045},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5334401726722717},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5208706855773926},{"id":"https://openalex.org/keywords/skin-color","display_name":"Skin color","score":0.4512913227081299},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3599611222743988},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.3421631455421448},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.20019155740737915},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17554441094398499}],"concepts":[{"id":"https://openalex.org/C2779407163","wikidata":"https://www.wikidata.org/wiki/Q1189998","display_name":"YCbCr","level":5,"score":0.8958001136779785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8541008830070496},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.8165085315704346},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7407066226005554},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7256565690040588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7071018218994141},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6726062297821045},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5334401726722717},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5208706855773926},{"id":"https://openalex.org/C3019497199","wikidata":"https://www.wikidata.org/wiki/Q853516","display_name":"Skin color","level":2,"score":0.4512913227081299},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3599611222743988},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.3421631455421448},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.20019155740737915},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17554441094398499},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.7287/peerj.preprints.27488v1","is_oa":true,"landing_page_url":"https://doi.org/10.7287/peerj.preprints.27488v1","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.7287/peerj.preprints.27488v1","is_oa":true,"landing_page_url":"https://doi.org/10.7287/peerj.preprints.27488v1","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2058905763"],"related_works":["https://openalex.org/W3107671540","https://openalex.org/W2744754738","https://openalex.org/W2072002209","https://openalex.org/W345165532","https://openalex.org/W2774579650","https://openalex.org/W3196523063","https://openalex.org/W2075210154","https://openalex.org/W2382798019","https://openalex.org/W2939643258","https://openalex.org/W2086128134"],"abstract_inverted_index":{"Human":[0],"Skin":[1],"Detection":[2],"is":[3,39,111],"one":[4],"of":[5,36,65,70,92,128,138,151],"the":[6,63,68,96,108,114,117,126,132,136,149,152],"most":[7],"applicable":[8],"methods":[9],"in":[10,25,51,125],"human":[11,49],"detection,":[12],"face":[13],"detection":[14],"and":[15,44,57,61,72,145,159],"so":[16],"many":[17],"other":[18],"detections.":[19],"These":[20],"processes":[21],"can":[22,55,78],"be":[23],"used":[24],"a":[26,80,139],"wide":[27],"spectrum":[28],"like":[29,102],"industry,":[30],"medicine,":[31],"security,":[32],"etc.":[33,110],"The":[34,154],"objective":[35],"this":[37],"work":[38],"to":[40,47,147],"provide":[41],"an":[42,100],"accurate":[43],"efficient":[45],"method":[46,54,90,119],"detect":[48,56],"skin":[50,59,87,105,129],"images.":[52,66],"This":[53,89],"classify":[58],"pixels":[60,122,144],"reduce":[62],"size":[64],"With":[67],"use":[69,137],"RGB":[71],"YCbCr":[73],"color":[74],"spaces,":[75],"proposed":[76,118],"approach":[77],"localize":[79],"Region":[81],"Of":[82],"Interest":[83],"(ROI)":[84],"that":[85,123],"contains":[86],"pixels.":[88],"consists":[91],"three":[93],"steps.":[94],"In":[95,113,131],"first":[97],"stage,":[98,116,134],"pre-processing":[99],"image":[101],"normalization,":[103],"detecting":[104],"range":[106,127],"from":[107],"dataset,":[109],"done.":[112],"second":[115],"detects":[120],"candidate\u2019s":[121],"are":[124],"color.":[130],"third":[133],"with":[135],"classifier,":[140],"it":[141],"decreases":[142],"unwanted":[143],"areas":[146],"decrease":[148],"accuracy":[150],"region.":[153],"results":[155],"show":[156],"97%":[157],"sensitivity":[158],"85%":[160],"specificity":[161],"for":[162],"support":[163],"vector":[164],"machine":[165],"classifier.":[166]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"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"}