{"id":"https://openalex.org/W2163107586","doi":null,"title":"Adaptive technique for human face detection using HSV color space and neural networks","display_name":"Adaptive technique for human face detection using HSV color space and neural networks","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2163107586","mag":"2163107586"},"language":"en","primary_location":{"id":"mag:3145277166","doi":null,"is_oa":false,"landing_page_url":"http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005233453","pdf_url":null,"source":{"id":"https://openalex.org/S4306420582","display_name":"National Radio Science Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"National Radio Science Conference","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5077055456","display_name":"Hassan Fahmy Hashem","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3129754710","display_name":"Alexandria Higher Institute of Engineering and Technology","ror":"https://ror.org/00qm7b611","country_code":"EG","type":"education","lineage":["https://openalex.org/I3129754710"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Hassan Fahmy Hashem","raw_affiliation_strings":["Alexandria High Institute of Technology, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alexandria High Institute of Technology, Egypt","institution_ids":["https://openalex.org/I3129754710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5077055456"],"corresponding_institution_ids":["https://openalex.org/I3129754710"],"apc_list":null,"apc_paid":null,"fwci":0.5469,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.56245043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.948199987411499,"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/T11448","display_name":"Face recognition and analysis","score":0.948199987411499,"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":0.04809999838471413,"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/T11094","display_name":"Face Recognition and Perception","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/face-detection","display_name":"face detection","score":0.9089999794960022},{"id":"https://openalex.org/keywords/hsv-color-space","display_name":"HSV color space","score":0.9700000286102295},{"id":"https://openalex.org/keywords/skin-color-detection","display_name":"skin color detection","score":0.7170000076293945},{"id":"https://openalex.org/keywords/color-histogram","display_name":"color histogram","score":0.9330000281333923},{"id":"https://openalex.org/keywords/back-propagation-neural-network","display_name":"BP neural network","score":0.8349999785423279},{"id":"https://openalex.org/keywords/adaptive-detection-algorithm","display_name":"adaptive detection algorithm","score":0.5669999718666077},{"id":"https://openalex.org/keywords/color-images","display_name":"color images","score":0.7400000095367432},{"id":"https://openalex.org/keywords/false-positive-reduction","display_name":"false positive reduction","score":0.6349999904632568}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8103144764900208},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.796218991279602},{"id":"https://openalex.org/C36372059","wikidata":"https://www.wikidata.org/wiki/Q376492","display_name":"HSL and HSV","level":3,"score":0.79148268699646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7185533046722412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.689781665802002},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.6046510934829712},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6039934158325195},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.6030493378639221},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5982314944267273},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.5734397768974304},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5429924726486206},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5238692164421082},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.46309542655944824},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.45304277539253235},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44446539878845215},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.37483227252960205},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.36585837602615356},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2706552743911743},{"id":"https://openalex.org/C2522874641","wikidata":"https://www.wikidata.org/wiki/Q808","display_name":"Virus","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"mag:3145277166","doi":null,"is_oa":false,"landing_page_url":"http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005233453","pdf_url":null,"source":{"id":"https://openalex.org/S4306420582","display_name":"National Radio Science Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"National Radio Science Conference","raw_type":null},{"id":"mag:2163107586","doi":null,"is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/5233453/","pdf_url":null,"source":{"id":"https://openalex.org/S4306420582","display_name":"National Radio Science Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"National Radio Science Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W47459029","https://openalex.org/W1673002162","https://openalex.org/W1929963669","https://openalex.org/W2014216342","https://openalex.org/W2121601095","https://openalex.org/W2138820926","https://openalex.org/W2163965432","https://openalex.org/W2217896605"],"related_works":["https://openalex.org/W2527212229","https://openalex.org/W2159201867","https://openalex.org/W2112837459","https://openalex.org/W2035256367","https://openalex.org/W2004350995","https://openalex.org/W2362129208","https://openalex.org/W2486138387","https://openalex.org/W1981889892","https://openalex.org/W2464189329","https://openalex.org/W2137214500"],"abstract_inverted_index":{"Human":[0],"face":[1,14,28,40,97],"detection":[2,15,29,33,41,127],"has":[3,124],"a":[4,61],"wide":[5],"area":[6],"of":[7,56,76,88,101,108,137],"applications":[8],"in":[9,19,68,105],"image":[10],"processing.":[11],"A":[12],"new":[13,139],"technique":[16,23,123],"is":[17],"presented":[18],"this":[20],"paper.":[21],"The":[22,35,71],"combines":[24],"two":[25,36],"methods":[26,37],"for":[27,64],"to":[30,80,134],"achieve":[31],"better":[32],"rates.":[34],"are":[38],"skin":[39,82],"using":[42],"HSV":[43,77],"color":[44,69,74,78],"space":[45,79],"and":[46,129],"the":[47,53,57,85,89,91,96,109,115,135,138],"back":[48],"propagation":[49],"neural":[50,92],"networks.":[51],"In":[52,84,118],"first":[54],"module":[55,87],"technique,":[58,90],"we":[59,113],"proposed":[60],"fast":[62],"algorithm":[63,72],"detecting":[65],"human":[66],"faces":[67],"images.":[70],"uses":[73],"histogram":[75],"detect":[81],"regions.":[83],"second":[86],"network":[93],"only":[94],"examined":[95],"candidate":[98],"regions":[99],"instead":[100],"performing":[102],"exhaustive":[103],"search":[104,116],"every":[106],"part":[107],"test":[110],"image,":[111],"so":[112],"reduced":[114],"space.":[117],"experiments":[119],"on":[120],"images,":[121],"our":[122],"achieved":[125],"high":[126],"rates":[128],"low":[130],"false":[131],"positives":[132],"due":[133],"application":[136],"algorithm.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
