{"id":"https://openalex.org/W2080532236","doi":"https://doi.org/10.4304/jsw.6.7.1209-1216","title":"Face Segmentation Based on Skin Color in Complicated Background and Its Sex Recognition","display_name":"Face Segmentation Based on Skin Color in Complicated Background and Its Sex Recognition","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2080532236","doi":"https://doi.org/10.4304/jsw.6.7.1209-1216","mag":"2080532236"},"language":"en","primary_location":{"id":"doi:10.4304/jsw.6.7.1209-1216","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.6.7.1209-1216","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","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/A5079533226","display_name":"Chuanxu Wang","orcid":"https://orcid.org/0000-0002-3004-0738"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chuanxu Wang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5079533226"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6709,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.67192924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6","issue":"7","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11144","display_name":"melanin and skin pigmentation","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11144","display_name":"melanin and skin pigmentation","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9624999761581421,"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/T11666","display_name":"Color Science and Applications","score":0.953499972820282,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8784688711166382},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6913221478462219},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6379508972167969},{"id":"https://openalex.org/keywords/skin-color","display_name":"Skin color","score":0.6219948530197144},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5925008058547974},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5602775812149048},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4729066789150238},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.42520055174827576},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.42053359746932983}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8784688711166382},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6913221478462219},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6379508972167969},{"id":"https://openalex.org/C3019497199","wikidata":"https://www.wikidata.org/wiki/Q853516","display_name":"Skin color","level":2,"score":0.6219948530197144},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5925008058547974},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5602775812149048},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4729066789150238},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.42520055174827576},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.42053359746932983},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jsw.6.7.1209-1216","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.6.7.1209-1216","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2038746948","https://openalex.org/W2078088780","https://openalex.org/W2101392314","https://openalex.org/W2104479907","https://openalex.org/W2111918405","https://openalex.org/W2116570754","https://openalex.org/W2118628418","https://openalex.org/W2122216839","https://openalex.org/W2123687672","https://openalex.org/W2129556265","https://openalex.org/W2138584058","https://openalex.org/W2153746365","https://openalex.org/W2162290056","https://openalex.org/W2206477030","https://openalex.org/W3003662786","https://openalex.org/W4255333169","https://openalex.org/W6677026808","https://openalex.org/W6678393071","https://openalex.org/W6834523812"],"related_works":["https://openalex.org/W1967587236","https://openalex.org/W2098693229","https://openalex.org/W2384651879","https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W3183843611","https://openalex.org/W4312238398","https://openalex.org/W2151699605","https://openalex.org/W3211418293","https://openalex.org/W2133653344"],"abstract_inverted_index":{"Human":[0],"skin":[1,32,43,52,103,115,128,171],"color":[2,9,44,66],"distribution":[3,104],"is":[4,23,75,131,160,182],"relatively":[5],"compact":[6],"in":[7,28,46,54,64],"a":[8,61,65,186],"space,":[10,67],"and":[11,83,114,150,166,190],"it":[12,22],"changes":[13],"from":[14,71],"frame":[15,17,56,72,74,107],"to":[16,25,73,91,96,108,134,163],"following":[18],"illumination":[19,124],"variations,":[20],"also":[21,183],"subject":[24],"camouflage":[26,136],"interruption":[27],"complicated":[29,47],"background":[30],"for":[31,117,147,152,169],"segmentation.":[33],"This":[34],"paper":[35],"mainly":[36],"talks":[37],"about":[38],"face":[39,118,139],"detection":[40,119],"based":[41],"on":[42,185],"feature":[45,130,148],"background.":[48],"We":[49,85],"assume":[50],"that":[51,102,157],"pixels":[53],"each":[55],"are":[57],"closed":[58],"together":[59],"as":[60,77],"\u201cdot":[62],"cloud\u201d":[63],"its":[68],"shape":[69,99],"evolution":[70],"modeled":[76],"the":[78,97],"mixture":[79],"of":[80,89,105,178],"translation,":[81],"scaling":[82],"rotation.":[84],"introduce":[86],"linear":[87],"combination":[88],"forecasts":[90],"predict":[92],"these":[93],"parameters":[94],"related":[95],"above":[98],"evolutions,":[100],"so":[101],"next":[106],"be":[109,112,121],"segmented":[110],"can":[111,120],"predicted":[113],"segmentation":[116,172],"improved":[122],"against":[123],"variations.":[125],"Additionally":[126],"human":[127,164,170],"biological":[129],"then":[132],"introduced":[133],"remove":[135],"noise.":[137],"For":[138],"gender":[140,179],"recognition":[141],"we":[142],"adopt":[143],"2-D":[144],"Gabor":[145],"transform":[146],"extraction":[149],"SVM":[151],"recognition.":[153],"Extensive":[154],"tests":[155],"prove":[156],"this":[158],"algorithm":[159],"quite":[161],"sensitive":[162],"color,":[165],"more":[167],"accurate":[168],"with":[173],"Bayes":[174],"classifier;":[175],"Good":[176],"performance":[177],"classification":[180],"test":[181],"achieved":[184],"relative":[187],"large":[188],"scale":[189],"low-resolution":[191],"video":[192],"database.":[193]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
