{"id":"https://openalex.org/W3203075739","doi":"https://doi.org/10.1109/icceai52939.2021.00061","title":"Feature Extraction of Dual-convolutional Network with LBP for Face Anti-Spoofing","display_name":"Feature Extraction of Dual-convolutional Network with LBP for Face Anti-Spoofing","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3203075739","doi":"https://doi.org/10.1109/icceai52939.2021.00061","mag":"3203075739"},"language":"en","primary_location":{"id":"doi:10.1109/icceai52939.2021.00061","doi":"https://doi.org/10.1109/icceai52939.2021.00061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icceai52939.2021.00061","pdf_url":null,"source":{"id":"https://openalex.org/S4363608072","display_name":"International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5037705312","display_name":"Ming Guo","orcid":"https://orcid.org/0000-0003-3274-1201","observed_orcids":["https://orcid.org/0000-0003-3274-1201"]},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Guo","raw_affiliation_strings":["School of Information Science and Technology, Shijiazhuang Tiedao University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Shijiazhuang Tiedao University","institution_ids":["https://openalex.org/I90090648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073913358","display_name":"Zhengyou Wang","orcid":"https://orcid.org/0000-0002-9976-8583","observed_orcids":["https://orcid.org/0000-0002-9976-8583"]},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyou Wang","raw_affiliation_strings":["Hebei Key Laboratory for Electromagnetic Environmental Effects and Information Processing, Shijiazhuang, China","School of Information Science and Technology, Shijiazhuang Tiedao University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory for Electromagnetic Environmental Effects and Information Processing, Shijiazhuang, China","institution_ids":[]},{"raw_affiliation_string":"School of Information Science and Technology, Shijiazhuang Tiedao University","institution_ids":["https://openalex.org/I90090648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020892865","display_name":"Shanna Zhuang","orcid":"https://orcid.org/0000-0003-2752-7390","observed_orcids":["https://orcid.org/0000-0003-2752-7390"]},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanna Zhuang","raw_affiliation_strings":["Hebei Key Laboratory for Electromagnetic Environmental Effects and Information Processing, Shijiazhuang, China","School of Information Science and Technology, Shijiazhuang Tiedao University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory for Electromagnetic Environmental Effects and Information Processing, Shijiazhuang, China","institution_ids":[]},{"raw_affiliation_string":"School of Information Science and Technology, Shijiazhuang Tiedao University","institution_ids":["https://openalex.org/I90090648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90090648"],"apc_list":null,"apc_paid":null,"fwci":0.4538,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57267081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"305","last_page":"309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.923799991607666,"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"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.923799991607666,"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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.06360000371932983,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.004900000058114529,"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/face-anti-spoofing","display_name":"face anti-spoofing","score":0.9959999918937683},{"id":"https://openalex.org/keywords/face-verification","display_name":"face verification","score":0.49399998784065247},{"id":"https://openalex.org/keywords/replay-attacks","display_name":"replay attacks","score":0.7940000295639038},{"id":"https://openalex.org/keywords/multiscale-feature-extraction","display_name":"multi-scale feature extraction","score":0.8270000219345093},{"id":"https://openalex.org/keywords/local-binary-pattern","display_name":"local binary pattern","score":0.7559999823570251},{"id":"https://openalex.org/keywords/depthwise-separable-convolution","display_name":"depthwise separable convolution","score":0.9150000214576721}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8218921422958374},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7457506060600281},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7224765419960022},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6334517002105713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5404866337776184},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5327855348587036},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4649117887020111},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.460475355386734},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43959885835647583},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40898773074150085},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12018463015556335},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/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/icceai52939.2021.00061","doi":"https://doi.org/10.1109/icceai52939.2021.00061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icceai52939.2021.00061","pdf_url":null,"source":{"id":"https://openalex.org/S4363608072","display_name":"International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5424227678","display_name":null,"funder_award_id":"61972267","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6818058955","display_name":null,"funder_award_id":"F2019210306","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1704933117","https://openalex.org/W1770095230","https://openalex.org/W1926032488","https://openalex.org/W2063661788","https://openalex.org/W2095252718","https://openalex.org/W2107227001","https://openalex.org/W2163487272","https://openalex.org/W2269794071","https://openalex.org/W2409050142","https://openalex.org/W2551249768","https://openalex.org/W2607927535","https://openalex.org/W2765300765","https://openalex.org/W2903298537","https://openalex.org/W2964245886","https://openalex.org/W2969289739","https://openalex.org/W2971810730","https://openalex.org/W3034594921","https://openalex.org/W3035459165","https://openalex.org/W3036080349"],"related_works":["https://openalex.org/W2955934671","https://openalex.org/W1704933117","https://openalex.org/W2975699225","https://openalex.org/W4319321897","https://openalex.org/W2755702751","https://openalex.org/W4210586052","https://openalex.org/W4318688179","https://openalex.org/W3192595832","https://openalex.org/W4405239316","https://openalex.org/W4239046667"],"abstract_inverted_index":{"With":[0],"the":[1,16,27,39,46,78,90,93],"promotion":[2],"of":[3,42,50,92],"information":[4],"technology,":[5],"network":[6,67,97],"security":[7],"issues":[8],"have":[9,53],"received":[10],"more":[11,13],"and":[12,19,48,73,103],"attention.":[14],"As":[15],"most":[17],"unique":[18],"widely":[20],"used":[21],"biological":[22],"feature,":[23],"human":[24],"face":[25],"is":[26],"primary":[28],"verification":[29],"method":[30],"that":[31,52,68],"people":[32],"choose.":[33],"But":[34],"it":[35],"has":[36],"also":[37,82],"become":[38],"preferred":[40],"target":[41],"criminals.":[43],"Based":[44],"on":[45],"research":[47],"analysis":[49],"algorithms":[51],"performed":[54],"well":[55],"in":[56],"recent":[57],"years,":[58],"this":[59],"paper":[60],"proposes":[61],"a":[62],"dual-convolution":[63],"multi-scale":[64],"feature":[65,86],"extraction":[66],"combines":[69],"central":[70],"differential":[71],"convolution":[72],"depth":[74],"separable":[75],"convolution.":[76],"At":[77],"same":[79],"time,":[80],"we":[81],"added":[83],"traditional":[84],"manual":[85],"LBP":[87],"to":[88],"Improve":[89],"robustness":[91],"network.":[94],"The":[95],"proposed":[96],"mainly":[98],"for":[99],"high":[100],"-definition":[101],"photo":[102],"video":[104],"replay":[105],"attacks.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2021-10-11T00:00:00"}
