{"id":"https://openalex.org/W2912185621","doi":"https://doi.org/10.1145/3239576.3239597","title":"Makeup-Invariant Face Recognition using combined Gabor Filter Bank and Histogram of Oriented Gradients","display_name":"Makeup-Invariant Face Recognition using combined Gabor Filter Bank and Histogram of Oriented Gradients","publication_year":2018,"publication_date":"2018-06-16","ids":{"openalex":"https://openalex.org/W2912185621","doi":"https://doi.org/10.1145/3239576.3239597","mag":"2912185621"},"language":"en","primary_location":{"id":"doi:10.1145/3239576.3239597","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3239576.3239597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Advances in Image Processing","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/A5009862780","display_name":"Ismaila Adeniyi Kamil","orcid":"https://orcid.org/0000-0002-1939-0219"},"institutions":[{"id":"https://openalex.org/I181631907","display_name":"University of Ibadan","ror":"https://ror.org/03wx2rr30","country_code":"NG","type":"education","lineage":["https://openalex.org/I181631907"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Ismaila Adeniyi Kamil","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Ibadan, Ibadan, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Ibadan, Ibadan, Nigeria","institution_ids":["https://openalex.org/I181631907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001940934","display_name":"Aliu S. Are","orcid":null},"institutions":[{"id":"https://openalex.org/I181631907","display_name":"University of Ibadan","ror":"https://ror.org/03wx2rr30","country_code":"NG","type":"education","lineage":["https://openalex.org/I181631907"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Aliu Sunday Are","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Ibadan, Ibadan, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Ibadan, Ibadan, Nigeria","institution_ids":["https://openalex.org/I181631907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181631907"],"apc_list":null,"apc_paid":null,"fwci":0.106,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49690692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9959999918937683,"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/T10828","display_name":"Biometric Identification and Security","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7540438771247864},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7463411092758179},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7356024980545044},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.68827223777771},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6187891960144043},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5989033579826355},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5487388968467712},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5411980748176575},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.49469825625419617},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4808924198150635},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4452970325946808},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.41842398047447205},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.41495048999786377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3003622889518738},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.21727263927459717},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17668560147285461}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7540438771247864},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7463411092758179},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7356024980545044},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.68827223777771},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6187891960144043},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5989033579826355},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5487388968467712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5411980748176575},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.49469825625419617},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4808924198150635},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4452970325946808},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.41842398047447205},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.41495048999786377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3003622889518738},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.21727263927459717},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17668560147285461},{"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},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3239576.3239597","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3239576.3239597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Advances in Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W140282302","https://openalex.org/W274705652","https://openalex.org/W783096245","https://openalex.org/W1692023078","https://openalex.org/W1976633266","https://openalex.org/W1976700763","https://openalex.org/W2014610891","https://openalex.org/W2016608818","https://openalex.org/W2028756773","https://openalex.org/W2033747188","https://openalex.org/W2039113207","https://openalex.org/W2076691714","https://openalex.org/W2081090466","https://openalex.org/W2132254548","https://openalex.org/W2140959843","https://openalex.org/W2143748665","https://openalex.org/W2152809841","https://openalex.org/W2161969291","https://openalex.org/W2333889245","https://openalex.org/W2603247401","https://openalex.org/W2615063356","https://openalex.org/W4365800037"],"related_works":["https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W2040482211","https://openalex.org/W325114128","https://openalex.org/W2185537520","https://openalex.org/W3108145925","https://openalex.org/W4387163326","https://openalex.org/W1517271056","https://openalex.org/W63491089","https://openalex.org/W2058325696"],"abstract_inverted_index":{"Facial":[0],"makeup":[1],"is":[2,21],"a":[3,16],"global":[4],"problem":[5],"from":[6,45],"the":[7,46,61,71,87,111,117,122,125],"perspective":[8],"of":[9,36,63,86,98],"recognition":[10,119,127,135],"and":[11,27,34,65,68,79,90,95,100,103,105,107],"security.":[12],"In":[13],"this":[14],"paper,":[15],"hybrid":[17],"feature":[18,52,56],"extraction":[19],"method":[20,131],"proposed":[22],"for":[23,51,110],"makeup-invariant":[24],"face":[25,43,134],"identification":[26,94],"verification.":[28],"The":[29,54,114,129],"Gabor":[30],"Filter":[31],"Bank":[32],"(GFB)":[33],"Histogram":[35],"Oriented":[37],"Gradients":[38],"(HOG)":[39],"were":[40,58],"applied":[41],"to":[42],"images":[44],"Virtual":[47],"Makeup":[48],"(VMU)":[49],"database":[50],"extraction.":[53],"final":[55],"vectors":[57],"generated":[59],"through":[60],"combination":[62],"GFB":[64],"HOG":[66],"features":[67],"classified":[69],"using":[70],"City":[72],"Block":[73],"Distance":[74,77],"(CBD),":[75],"Euclidean":[76],"(EUC)":[78],"Cosine":[80],"Similarity":[81],"Metric":[82],"(CSM).":[83],"Performance":[84],"evaluation":[85],"CBD,":[88],"EUC":[89],"CSM":[91,115],"classifiers":[92],"produced":[93],"verification":[96],"rates":[97],"97.39%":[99],"94.12%,":[101],"96.73%":[102],"92.16%,":[104],"94.77%":[106],"89.54%":[108],"respectively":[109],"VMU":[112],"database.":[113],"has":[116],"least":[118],"rate":[120],"while":[121],"CBD":[123],"achieved":[124],"best":[126],"rates.":[128],"implemented":[130],"outclassed":[132],"several":[133],"methods":[136],"previously":[137],"developed.":[138]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}