{"id":"https://openalex.org/W7165548489","doi":"https://doi.org/10.3103/s0146411626700100","title":"Face Recognition under the Influence of Occlusion Based on OpenCV and MTCNN","display_name":"Face Recognition under the Influence of Occlusion Based on OpenCV and MTCNN","publication_year":2026,"publication_date":"2026-02-01","ids":{"openalex":"https://openalex.org/W7165548489","doi":"https://doi.org/10.3103/s0146411626700100"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411626700100","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411626700100","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","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/A5139106501","display_name":"Qin Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157719","display_name":"Yancheng Institute of Technology","ror":"https://ror.org/04y8njc86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210157719"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qin Dong","raw_affiliation_strings":["School of Information Engineering, Yancheng Institute of Technology, 224000, Yancheng, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yancheng Institute of Technology, 224000, Yancheng, China","institution_ids":["https://openalex.org/I4210157719"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5139106501"],"corresponding_institution_ids":["https://openalex.org/I4210157719"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80908909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"60","issue":"1","first_page":"93","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.5192999839782715,"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":0.5192999839782715,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.08250000327825546,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.042100001126527786,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8147000074386597},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6459000110626221},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5462999939918518},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.503600001335144},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.49410000443458557},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47679999470710754},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44600000977516174},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.39739999175071716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8712999820709229},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8147000074386597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7465999722480774},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6459000110626221},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5462999939918518},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.503600001335144},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.49410000443458557},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47679999470710754},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45489999651908875},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44600000977516174},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.39739999175071716},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.3864000141620636},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.38580000400543213},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.3409000039100647},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.334199994802475},{"id":"https://openalex.org/C54654163","wikidata":"https://www.wikidata.org/wiki/Q5428359","display_name":"Face hallucination","level":5,"score":0.32589998841285706},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.31679999828338623},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411626700100","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411626700100","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2985936223","https://openalex.org/W2994857106","https://openalex.org/W3007626692","https://openalex.org/W3010093963","https://openalex.org/W3013873750","https://openalex.org/W3014350516","https://openalex.org/W3044967028","https://openalex.org/W3083442639","https://openalex.org/W3089745382","https://openalex.org/W3097210278","https://openalex.org/W3112696837","https://openalex.org/W3126164993","https://openalex.org/W3130900996","https://openalex.org/W3192863538","https://openalex.org/W3202799979","https://openalex.org/W3210256205","https://openalex.org/W4221105626","https://openalex.org/W4224911196","https://openalex.org/W4312990750","https://openalex.org/W4362653066"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"In":[1],"facial":[2,12,29,146,188],"recognition,":[3],"occlusion":[4,27],"has":[5,141,172],"an":[6],"impact":[7,25],"on":[8,28],"the":[9,24,34,54,66,89,132,137,143],"accuracy":[10,78,101],"of":[11,26,33,79,114,145],"detection.":[13],"OpenCV":[14],"and":[15,42,58,82,102,109,123,157,177,184],"multi-task":[16,35,90],"convolutional":[17,36,91,106],"neural":[18,37,92,107],"network":[19,50,62,75,93],"are":[20,44,165],"used":[21],"to":[22],"analyze":[23],"recognition.":[30],"Three":[31],"networks":[32,108],"network,":[38],"namely":[39],"P-Net,":[40],"R-Net,":[41],"O-Net":[43],"cascaded":[45],"for":[46,175,187],"training.":[47],"Face":[48,56],"detection":[49,61],"is":[51,63],"trained":[52,64],"using":[53,65],"Wider":[55],"dataset,":[57],"key":[59,124,150],"point":[60,125],"CNN_":[67],"FacePoint":[68],"dataset.":[69],"The":[70,112,139,180],"results":[71],"showed":[72],"that":[73],"each":[74],"achieved":[76],"recognition":[77,100,134,147,189],"91.63,":[80],"95.68,":[81],"99.26%,":[83],"respectively.":[84],"Compared":[85],"with":[86,98],"classical":[87],"algorithms,":[88],"performs":[94],"outstandingly":[95],"under":[96],"occlusion,":[97],"better":[99],"recall":[103],"than":[104],"traditional":[105],"Viola-Jones":[110],"algorithms.":[111],"structure":[113],"MTCNN":[115],"balances":[116],"classification":[117],"error,":[118,122],"bounding":[119],"box":[120],"regression":[121],"localization":[126],"error":[127],"across":[128],"various":[129],"networks,":[130],"improving":[131],"face":[133],"performance":[135],"in":[136,149,161,168],"occlusions.":[138],"research":[140,181],"promoted":[142],"development":[144],"technology":[148],"applications":[151],"such":[152],"as":[153],"public":[154,169],"safety":[155],"monitoring":[156],"identity":[158],"verification,":[159],"especially":[160],"situations":[162],"where":[163],"masks":[164],"often":[166],"worn":[167],"places,":[170],"which":[171],"greater":[173],"potential":[174],"practical":[176,185],"future":[178],"applications.":[179],"provides":[182],"innovative":[183],"solutions":[186],"technology.":[190]},"counts_by_year":[],"updated_date":"2026-06-24T06:17:17.354583","created_date":"2026-06-23T00:00:00"}