{"id":"https://openalex.org/W2002252431","doi":"https://doi.org/10.1142/s0219467814500119","title":"Learning Discriminating Features for Gender Recognition of Real World Faces","display_name":"Learning Discriminating Features for Gender Recognition of Real World Faces","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2002252431","doi":"https://doi.org/10.1142/s0219467814500119","mag":"2002252431"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467814500119","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467814500119","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","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/A5062718924","display_name":"Haider Ali","orcid":"https://orcid.org/0000-0002-2165-7701"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Haider Ali","raw_affiliation_strings":["Electrical Engineering Department, COMSATS, Institute of Information and Technology, Tobe Camp, University Road, Abbottabad 22010, Khyber Pakhtunkhwa, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, COMSATS, Institute of Information and Technology, Tobe Camp, University Road, Abbottabad 22010, Khyber Pakhtunkhwa, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044589602","display_name":"Umair Ullah Tariq","orcid":"https://orcid.org/0000-0001-8574-8031"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Umair Ullah Tariq","raw_affiliation_strings":["Electrical Engineering Department, COMSATS, Institute of Information and Technology, Tobe Camp, University Road, Abbottabad 22010, Khyber Pakhtunkhwa, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, COMSATS, Institute of Information and Technology, Tobe Camp, University Road, Abbottabad 22010, Khyber Pakhtunkhwa, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100757969","display_name":"\u041cuhammad Abid","orcid":"https://orcid.org/0000-0002-1611-4964"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Abid","raw_affiliation_strings":["Electrical Engineering Department, COMSATS, Institute of Information and Technology, Tobe Camp, University Road, Abbottabad 22010, Khyber Pakhtunkhwa, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, COMSATS, Institute of Information and Technology, Tobe Camp, University Road, Abbottabad 22010, Khyber Pakhtunkhwa, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062718924"],"corresponding_institution_ids":["https://openalex.org/I16076960"],"apc_list":null,"apc_paid":null,"fwci":0.2471,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57439179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"14","issue":"03","first_page":"1450011","last_page":"1450011"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9977999925613403,"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":0.9919000267982483,"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":0.7395097017288208},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.7280962467193604},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.722585916519165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7099616527557373},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.658390462398529},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6233683228492737},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5827776789665222},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48431840538978577},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4698578119277954},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.43471086025238037},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41528090834617615},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39906471967697144},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17105185985565186},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08823612332344055}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7395097017288208},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.7280962467193604},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.722585916519165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7099616527557373},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.658390462398529},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6233683228492737},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5827776789665222},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48431840538978577},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4698578119277954},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.43471086025238037},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41528090834617615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39906471967697144},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17105185985565186},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08823612332344055},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467814500119","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467814500119","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1516748092","https://openalex.org/W1545425562","https://openalex.org/W1545641654","https://openalex.org/W1593989786","https://openalex.org/W1779930666","https://openalex.org/W1782590233","https://openalex.org/W1985656234","https://openalex.org/W1988790447","https://openalex.org/W2039051707","https://openalex.org/W2040013760","https://openalex.org/W2053912315","https://openalex.org/W2101392314","https://openalex.org/W2104492225","https://openalex.org/W2107712101","https://openalex.org/W2123687672","https://openalex.org/W2142187478","https://openalex.org/W2149494055","https://openalex.org/W2163352848","https://openalex.org/W2164598857","https://openalex.org/W2165236847","https://openalex.org/W2262839275","https://openalex.org/W2325168940","https://openalex.org/W4244952642"],"related_works":["https://openalex.org/W2342684998","https://openalex.org/W2087874231","https://openalex.org/W2122718025","https://openalex.org/W2084469691","https://openalex.org/W3024593842","https://openalex.org/W1990254706","https://openalex.org/W2092714610","https://openalex.org/W3113738745","https://openalex.org/W2026250640","https://openalex.org/W1512444571"],"abstract_inverted_index":{"The":[0],"automatic":[1],"gender":[2,27,82],"recognition":[3,122],"of":[4,47,84,124],"faces":[5],"has":[6],"many":[7],"applications,":[8],"for":[9,31],"example":[10],"surveillance,":[11],"targeted":[12,42],"advertisement":[13],"and":[14,69,94,107],"human":[15],"computer":[16],"interaction,":[17],"etc.":[18],"Humans":[19],"have":[20,41,50,60,79],"the":[21,26,73,81,104],"ability":[22],"to":[23,61,113],"accurately":[24],"determine":[25],"from":[28,89],"faces,":[29],"however,":[30],"a":[32,36,115,121],"machine,":[33],"it":[34],"is":[35],"difficult":[37],"task.":[38],"Many":[39],"studies":[40,49],"this":[43],"problem,":[44],"but":[45],"most":[46],"these":[48],"used":[51,112],"images":[52,63,90],"taken":[53],"under":[54],"constrained":[55],"conditions.":[56],"In":[57],"Real-world":[58],"systems":[59],"process":[62],"with":[64],"wide":[65],"variations":[66],"in":[67],"lighting":[68],"pose":[70],"that":[71,119],"makes":[72],"classification":[74,83],"task":[75],"very":[76],"challenging.":[77],"We":[78],"analyzed":[80],"real":[85],"world":[86],"faces.":[87],"Faces":[88],"are":[91,111],"detected,":[92],"aligned":[93],"represented":[95],"using":[96],"local":[97],"binary":[98],"pattern":[99],"histograms.":[100],"Adaptive":[101],"boosting":[102],"selects":[103],"discriminating":[105],"features":[106,110],"boosted":[108],"LBP":[109],"train":[114],"support":[116],"vector":[117],"machine":[118],"provides":[120],"rate":[123],"95.5%.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
