{"id":"https://openalex.org/W3093612317","doi":"https://doi.org/10.1109/atsip49331.2020.9231764","title":"Unconstrained Face Verification Based on Monogenic Binary Pattern and Convolutional Neural Network","display_name":"Unconstrained Face Verification Based on Monogenic Binary Pattern and Convolutional Neural Network","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3093612317","doi":"https://doi.org/10.1109/atsip49331.2020.9231764","mag":"3093612317"},"language":"en","primary_location":{"id":"doi:10.1109/atsip49331.2020.9231764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip49331.2020.9231764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","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/A5035337540","display_name":"Bilel Ameur","orcid":"https://orcid.org/0000-0002-9914-7605"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Bilel Ameur","raw_affiliation_strings":["ATMS Advanced Technologies for Medecine and Signals, National Engineering School of Sfax (ENIS), Sfax University, Soukra street, Km 3.5, B.P. 1173, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"ATMS Advanced Technologies for Medecine and Signals, National Engineering School of Sfax (ENIS), Sfax University, Soukra street, Km 3.5, B.P. 1173, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033344291","display_name":"M\u00e9barka Belahcene","orcid":null},"institutions":[{"id":"https://openalex.org/I206961696","display_name":"University of Biskra","ror":"https://ror.org/05fr5y859","country_code":"DZ","type":"education","lineage":["https://openalex.org/I206961696"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Mebarka Belahcene","raw_affiliation_strings":["LI3C Laboratory of Identification, Command, Control and Communication, Faculty of Science and Technology, Mohamed Khider University Biskra, BP 145 RP, Biskra, Algeria"],"affiliations":[{"raw_affiliation_string":"LI3C Laboratory of Identification, Command, Control and Communication, Faculty of Science and Technology, Mohamed Khider University Biskra, BP 145 RP, Biskra, Algeria","institution_ids":["https://openalex.org/I206961696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108687445","display_name":"Sabeur Masmoudi","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Sabeur Masmoudi","raw_affiliation_strings":["ATMS Advanced Technologies for Medecine and Signals, National Engineering School of Sfax (ENIS), Sfax University, Soukra street, Km 3.5, B.P. 1173, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"ATMS Advanced Technologies for Medecine and Signals, National Engineering School of Sfax (ENIS), Sfax University, Soukra street, Km 3.5, B.P. 1173, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031967892","display_name":"Ahmed Ben Hamida","orcid":"https://orcid.org/0000-0001-6713-7384"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Ahmed Ben Hamida","raw_affiliation_strings":["ATMS Advanced Technologies for Medecine and Signals, National Engineering School of Sfax (ENIS), Sfax University, Soukra street, Km 3.5, B.P. 1173, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"ATMS Advanced Technologies for Medecine and Signals, National Engineering School of Sfax (ENIS), Sfax University, Soukra street, Km 3.5, B.P. 1173, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035337540"],"corresponding_institution_ids":["https://openalex.org/I142899784"],"apc_list":null,"apc_paid":null,"fwci":0.4885,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.6637931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9986000061035156,"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":0.9966999888420105,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8659546375274658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8229870200157166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7828977704048157},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.7569675445556641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7480486631393433},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.722815215587616},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5625820755958557},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4835764765739441},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.48001211881637573},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46721258759498596},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46452414989471436},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4275768995285034},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41755396127700806},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.290383517742157},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11658623814582825},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.07928797602653503}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8659546375274658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8229870200157166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7828977704048157},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.7569675445556641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480486631393433},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.722815215587616},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5625820755958557},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4835764765739441},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.48001211881637573},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46721258759498596},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46452414989471436},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4275768995285034},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41755396127700806},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.290383517742157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11658623814582825},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.07928797602653503},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/atsip49331.2020.9231764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip49331.2020.9231764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1509966554","https://openalex.org/W1545641654","https://openalex.org/W1703179648","https://openalex.org/W1782590233","https://openalex.org/W1895390915","https://openalex.org/W1950843348","https://openalex.org/W1951319388","https://openalex.org/W2054891869","https://openalex.org/W2096733369","https://openalex.org/W2098017479","https://openalex.org/W2104657103","https://openalex.org/W2110816694","https://openalex.org/W2117072267","https://openalex.org/W2142947774","https://openalex.org/W2145287260","https://openalex.org/W2155893237","https://openalex.org/W2325939864","https://openalex.org/W2338696193","https://openalex.org/W2486556835","https://openalex.org/W2516455388","https://openalex.org/W2520774990","https://openalex.org/W2566228241","https://openalex.org/W2594407953","https://openalex.org/W2765772275","https://openalex.org/W2803149118","https://openalex.org/W2804556813","https://openalex.org/W2901298109","https://openalex.org/W2938613434","https://openalex.org/W2944782301","https://openalex.org/W2949399707","https://openalex.org/W2957422749","https://openalex.org/W2962620000","https://openalex.org/W2963466847","https://openalex.org/W2963656735","https://openalex.org/W2969257527","https://openalex.org/W2971058209","https://openalex.org/W2979096298","https://openalex.org/W3099206234","https://openalex.org/W3102661353","https://openalex.org/W3113204115","https://openalex.org/W6630649318","https://openalex.org/W6637320534","https://openalex.org/W6735013348","https://openalex.org/W6766935873"],"related_works":["https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W3166997759","https://openalex.org/W2794489335","https://openalex.org/W4383117988","https://openalex.org/W1589677080","https://openalex.org/W1999808563","https://openalex.org/W2770255720","https://openalex.org/W1509533962","https://openalex.org/W2985118265"],"abstract_inverted_index":{"Unconstrained":[0],"Face":[1],"Verification":[2],"is":[3,75,97],"still":[4],"an":[5,76],"important":[6],"problem":[7],"worth":[8],"researching.":[9],"The":[10],"major":[11],"challenges":[12],"such":[13],"as":[14],"illumination,":[15,127],"pose,":[16,129],"occlusion":[17],"and":[18,28,45,78,132,139,152],"expression":[19],"can":[20],"produce":[21],"more":[22,115,146],"complex":[23],"variations":[24,125],"in":[25,108,111,175],"both":[26],"shape":[27,133],"texture":[29,131],"of":[30,54,99,105,126,155],"the":[31,52,62,84,100,109,119,167,172,176],"face.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36,91],"propose":[37],"a":[38],"method":[39,64,162],"based":[40],"on":[41,166],"Monogenic":[42,70,136],"Binary":[43,71,137],"Pattern":[44,72,138],"Convolutional":[46,93],"Neural":[47,94],"Network":[48],"(MBP-CNN)":[49],"to":[50,83,113,124,171],"improve":[51],"performance":[53,165],"face":[55],"recognition":[56],"system.":[57],"For":[58],"each":[59],"facial":[60,156],"image,":[61],"proposed":[63],"firstly":[65],"extracts":[66],"local":[67,80,153],"features":[68],"using":[69],"(MBP)":[73],"which":[74,96],"excellent":[77],"powerful":[79],"descriptor":[81],"compared":[82,170],"well-recognized":[85],"Gabor":[86],"filtering-based":[87],"LBP":[88],"models.":[89],"Then,":[90],"use":[92],"Networks":[95],"one":[98],"best":[101],"representative":[102],"network":[103],"architectures":[104],"deep":[106,116],"learning":[107],"literature,":[110],"order":[112],"extract":[114],"features.":[117],"Thus,":[118],"developed":[120],"MBP-CNN":[121,144],"has":[122],"robustness":[123],"occlusion,":[128],"expression,":[130],"by":[134,149],"combining":[135,150],"convolutional":[140],"neural":[141],"network.":[142],"Moreover,":[143],"was":[145],"accurately":[147],"represented":[148],"global":[151],"information":[154],"images.":[157],"Experiments":[158],"demonstrate":[159],"that":[160],"our":[161],"provided":[163],"competitive":[164],"LFW":[168],"database,":[169],"others":[173],"described":[174],"state-of-the-art.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
