{"id":"https://openalex.org/W4285506605","doi":"https://doi.org/10.1109/access.2022.3191113","title":"Face Recognition With Masks Based on Spatial Fine-Grained Frequency Domain Broadening","display_name":"Face Recognition With Masks Based on Spatial Fine-Grained Frequency Domain Broadening","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285506605","doi":"https://doi.org/10.1109/access.2022.3191113"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3191113","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3191113","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09830694.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09830694.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067095222","display_name":"Hua-Quan Chen","orcid":"https://orcid.org/0000-0001-9993-3406"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hua-Quan Chen","raw_affiliation_strings":["School of Electronic Information, Yangtze University, Jingzhou, China","National Demonstration Center for Experimental Electrical &#x0026","Western Institute of Yangtze University, Karamay, China","Electronic Education, Yangtze University, Jlingzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Yangtze University, Jingzhou, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"National Demonstration Center for Experimental Electrical &#x0026","institution_ids":[]},{"raw_affiliation_string":"Western Institute of Yangtze University, Karamay, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"Electronic Education, Yangtze University, Jlingzhou, China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008726198","display_name":"Kai Xie","orcid":"https://orcid.org/0000-0002-2511-5942"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Xie","raw_affiliation_strings":["School of Electronic Information, Yangtze University, Jingzhou, China","Electronic Education, Yangtze University, Jlingzhou, China","Western Institute of Yangtze University, Karamay, China","National Demonstration Center for Experimental Electrical &#x0026"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Yangtze University, Jingzhou, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"Electronic Education, Yangtze University, Jlingzhou, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"Western Institute of Yangtze University, Karamay, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"National Demonstration Center for Experimental Electrical &#x0026","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029047967","display_name":"Mei-Ran Li","orcid":null},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei-Ran Li","raw_affiliation_strings":["School of Electronic Information, Yangtze University, Jingzhou, China","National Demonstration Center for Experimental Electrical &#x0026","Western Institute of Yangtze University, Karamay, China","Electronic Education, Yangtze University, Jlingzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Yangtze University, Jingzhou, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"National Demonstration Center for Experimental Electrical &#x0026","institution_ids":[]},{"raw_affiliation_string":"Western Institute of Yangtze University, Karamay, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"Electronic Education, Yangtze University, Jlingzhou, China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086789945","display_name":"Chang Wen","orcid":"https://orcid.org/0000-0001-7339-3130"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Wen","raw_affiliation_strings":["Western Institute, Yangtze University, Karamay, China","School of Computer Science, Yangtze University, Jingzhou, China","Western Institute of Yangtze University, Karamay, China"],"affiliations":[{"raw_affiliation_string":"Western Institute, Yangtze University, Karamay, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"School of Computer Science, Yangtze University, Jingzhou, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"Western Institute of Yangtze University, Karamay, China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036815945","display_name":"Jianbiao He","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Biao He","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067095222"],"corresponding_institution_ids":["https://openalex.org/I177739611"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8166,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72807659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"75536","last_page":"75548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9987000226974487,"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":0.9987000226974487,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.996999979019165,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9918000102043152,"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/computer-science","display_name":"Computer science","score":0.8103624582290649},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7527390718460083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7022309899330139},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6445149183273315},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6406948566436768},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5415773987770081},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.5370044112205505},{"id":"https://openalex.org/keywords/face-masks","display_name":"Face masks","score":0.5199088454246521},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5185307264328003},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.50652015209198},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46970030665397644},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.451189786195755},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.28448086977005005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8103624582290649},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7527390718460083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7022309899330139},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6445149183273315},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6406948566436768},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5415773987770081},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.5370044112205505},{"id":"https://openalex.org/C2909791563","wikidata":"https://www.wikidata.org/wiki/Q5428367","display_name":"Face masks","level":5,"score":0.5199088454246521},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5185307264328003},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.50652015209198},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46970030665397644},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.451189786195755},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.28448086977005005},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3191113","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3191113","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09830694.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8ed46683c6654ab88a7efe2bdcec9249","is_oa":true,"landing_page_url":"https://doaj.org/article/8ed46683c6654ab88a7efe2bdcec9249","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 75536-75548 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3191113","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3191113","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09830694.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G1663024382","display_name":null,"funder_award_id":"Yz2021040","funder_id":"https://openalex.org/F4320324773","funder_display_name":"Yangtze University"},{"id":"https://openalex.org/G3990606817","display_name":null,"funder_award_id":"YJY201909","funder_id":"https://openalex.org/F4320324773","funder_display_name":"Yangtze University"},{"id":"https://openalex.org/G4333067202","display_name":null,"funder_award_id":"JY2019011","funder_id":"https://openalex.org/F4320324773","funder_display_name":"Yangtze University"},{"id":"https://openalex.org/G433462169","display_name":null,"funder_award_id":"2020D01A131","funder_id":"https://openalex.org/F4320328898","funder_display_name":"Natural Science Foundation of Xinjiang"},{"id":"https://openalex.org/G4964724338","display_name":null,"funder_award_id":"202110489003","funder_id":"https://openalex.org/F4320336008","funder_display_name":"National College Students Innovation and Entrepreneurship Training Program"},{"id":"https://openalex.org/G8746342558","display_name":null,"funder_award_id":"2020D01A131","funder_id":"https://openalex.org/F4320311028","funder_display_name":"Natural Science Foundation of Xinjiang Province"}],"funders":[{"id":"https://openalex.org/F4320311028","display_name":"Natural Science Foundation of Xinjiang Province","ror":null},{"id":"https://openalex.org/F4320324773","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54"},{"id":"https://openalex.org/F4320328898","display_name":"Natural Science Foundation of Xinjiang","ror":null},{"id":"https://openalex.org/F4320336008","display_name":"National College Students Innovation and Entrepreneurship Training Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285506605.pdf","grobid_xml":"https://content.openalex.org/works/W4285506605.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1483824668","https://openalex.org/W1509966554","https://openalex.org/W1981684593","https://openalex.org/W1998636391","https://openalex.org/W2003685903","https://openalex.org/W2005931445","https://openalex.org/W2006243576","https://openalex.org/W2056451974","https://openalex.org/W2115528090","https://openalex.org/W2194775991","https://openalex.org/W2376953284","https://openalex.org/W2531409750","https://openalex.org/W2548224427","https://openalex.org/W2609504292","https://openalex.org/W2752782242","https://openalex.org/W2759020882","https://openalex.org/W2787673326","https://openalex.org/W2790072229","https://openalex.org/W2790299973","https://openalex.org/W2810114442","https://openalex.org/W2891158090","https://openalex.org/W2891238898","https://openalex.org/W2895311831","https://openalex.org/W2957375862","https://openalex.org/W2963440544","https://openalex.org/W2963446712","https://openalex.org/W2972943142","https://openalex.org/W2981072058","https://openalex.org/W2987654099","https://openalex.org/W3000996870","https://openalex.org/W3009543393","https://openalex.org/W3012050083","https://openalex.org/W3038360500","https://openalex.org/W3096368674","https://openalex.org/W3112696837","https://openalex.org/W3128406261","https://openalex.org/W3137650873","https://openalex.org/W3157752056","https://openalex.org/W4221064670","https://openalex.org/W4287825176","https://openalex.org/W6630649318","https://openalex.org/W6638046521","https://openalex.org/W6762718338","https://openalex.org/W6767612737","https://openalex.org/W6793164127","https://openalex.org/W6794249830"],"related_works":["https://openalex.org/W2165589608","https://openalex.org/W3093557575","https://openalex.org/W2354231916","https://openalex.org/W3182767856","https://openalex.org/W2162140574","https://openalex.org/W2354073393","https://openalex.org/W2361009070","https://openalex.org/W2121457398","https://openalex.org/W1915958221","https://openalex.org/W4312849999"],"abstract_inverted_index":{"Along":[0],"with":[1,87,100],"social":[2],"distancing,":[3],"wearing":[4,73],"masks":[5,21],"is":[6],"an":[7,152,178,182,189],"effective":[8],"method":[9,53],"of":[10,14,26,35,45,59,62,112,116,126,136,138,143,154,191,199],"preventing":[11,29],"the":[12,17,43,57,60,105,113,117,121,127,134,148,157,195,200],"transmission":[13],"COVID-19":[15],"in":[16,181],"ongoing":[18],"pandemic.":[19],"However,":[20],"occlude":[22],"a":[23,52,88,144,163],"large":[24],"number":[25],"facial":[27,30,63,69,184],"features,":[28],"recognition.":[31],"The":[32,75,124,141],"recognition":[33,70,137,165,185],"rate":[34,166],"existing":[36],"methods":[37],"may":[38],"be":[39],"significantly":[40],"reduced":[41],"by":[42],"presence":[44],"masks.":[46,74],"In":[47,173],"this":[48],"paper,":[49],"we":[50,175],"propose":[51],"to":[54,67,82,92,132],"effectively":[55],"solve":[56],"problem":[58],"lack":[61],"feature":[64,98],"information":[65],"needed":[66],"perform":[68,83],"on":[71,156],"people":[72],"proposed":[76,149,201],"approach":[77,150],"uses":[78],"image":[79,84],"super-resolution":[80],"technology":[81],"preprocessing":[85],"along":[86],"deep":[89],"bilinear":[90],"module":[91],"improve":[93,133],"EfficientNet.":[94],"It":[95],"also":[96,176],"combines":[97],"enhancement":[99],"frequency":[101,109],"domain":[102,110],"broadening,":[103],"fuses":[104],"spatial":[106],"features":[107,111,125],"and":[108,119,167,187,197],"unoccluded":[114,128],"areas":[115],"face,":[118],"classifies":[120],"fused":[122],"features.":[123],"area":[129],"are":[130],"increased":[131],"accuracy":[135,153,190],"masked":[139],"faces.":[140],"results":[142],"cross-validation":[145],"show":[146],"that":[147],"achieved":[151,188],"98%":[155],"RMFRD":[158],"dataset,":[159],"as":[160,162],"well":[161],"higher":[164],"faster":[168],"speed":[169],"than":[170],"previous":[171],"methods.":[172],"addition,":[174],"performed":[177],"experimental":[179],"evaluation":[180],"actual":[183],"system":[186],"99%,":[192],"which":[193],"demonstrates":[194],"effectiveness":[196],"practicability":[198],"method.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}