{"id":"https://openalex.org/W2806239988","doi":"https://doi.org/10.1109/wocc.2018.8372707","title":"Face recognition model based on privacy protection and random forest algorithm","display_name":"Face recognition model based on privacy protection and random forest algorithm","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2806239988","doi":"https://doi.org/10.1109/wocc.2018.8372707","mag":"2806239988"},"language":"en","primary_location":{"id":"doi:10.1109/wocc.2018.8372707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wocc.2018.8372707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 27th Wireless and Optical Communication Conference (WOCC)","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/A5101631859","display_name":"Jianwu Zhang","orcid":"https://orcid.org/0000-0001-8288-8688"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"JianWu Zhang","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hang Zhou, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hang Zhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048353325","display_name":"Wei Shen","orcid":"https://orcid.org/0000-0002-1235-598X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Shen","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hang Zhou, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hang Zhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720047","display_name":"Lifeng Liu","orcid":"https://orcid.org/0000-0002-2384-6506"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"LiFeng Liu","raw_affiliation_strings":["State Grid Shaoxing Power, Supply Company, Shao Xing, China"],"affiliations":[{"raw_affiliation_string":"State Grid Shaoxing Power, Supply Company, Shao Xing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100738665","display_name":"Zhendong Wu","orcid":"https://orcid.org/0000-0002-1870-9558"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZhenDong Wu","raw_affiliation_strings":["School of Cyber Space Security, Hangzhou Dianzi University, Hang Zhou, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Space Security, Hangzhou Dianzi University, Hang Zhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101631859"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.1651,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42405357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"45","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9995999932289124,"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":0.9995999932289124,"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/T10057","display_name":"Face and Expression Recognition","score":0.9958999752998352,"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":0.9957000017166138,"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/random-forest","display_name":"Random forest","score":0.8471826910972595},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.8092780113220215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7629425525665283},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7473642826080322},{"id":"https://openalex.org/keywords/scrambling","display_name":"Scrambling","score":0.6674774885177612},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.598959743976593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5437626838684082},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5431446433067322},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5317724347114563},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5103864073753357},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.47072330117225647},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4641697406768799},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43309077620506287},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42114609479904175},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38473448157310486},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3344022035598755},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.32785743474960327}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8471826910972595},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.8092780113220215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7629425525665283},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7473642826080322},{"id":"https://openalex.org/C182548165","wikidata":"https://www.wikidata.org/wiki/Q2261483","display_name":"Scrambling","level":2,"score":0.6674774885177612},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.598959743976593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5437626838684082},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5431446433067322},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5317724347114563},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5103864073753357},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.47072330117225647},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4641697406768799},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43309077620506287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42114609479904175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38473448157310486},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3344022035598755},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.32785743474960327},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wocc.2018.8372707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wocc.2018.8372707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 27th Wireless and Optical Communication Conference (WOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1988378196","https://openalex.org/W2031254140","https://openalex.org/W2143366165","https://openalex.org/W2178366741","https://openalex.org/W2219857805"],"related_works":["https://openalex.org/W2136651803","https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W2040482211","https://openalex.org/W2058325696","https://openalex.org/W325114128","https://openalex.org/W4285815683","https://openalex.org/W2336272890","https://openalex.org/W4312238398","https://openalex.org/W4308999963"],"abstract_inverted_index":{"With":[0],"the":[1,69,97,104,112,119,125],"rapid":[2],"development":[3],"of":[4,10,21,55,71,106],"face":[5,48,53,72,87,107,132],"recognition":[6,54,113],"technology,":[7],"people's":[8],"awareness":[9],"privacy":[11,133],"protection":[12,134],"is":[13,45],"getting":[14],"higher":[15],"and":[16,24,33,50,81,84,135],"higher.":[17],"Arnold":[18,43],"transform":[19,44],"because":[20],"its":[22],"simple":[23],"easy":[25],"to":[26,29,47],"be":[27],"applied":[28,46],"digital":[30],"watermarking,":[31],"security":[32],"other":[34],"fields,":[35],"has":[36],"achieved":[37],"good":[38,101,129],"results.":[39],"In":[40],"this":[41],"paper,":[42],"images,":[49],"propose":[51],"scrambled":[52,86],"random":[56,62],"forest":[57,63],"(SFR-RF)":[58],"model":[59,67,99],"based":[60],"on":[61],"(RF)":[64],"algorithm.":[65,91],"The":[66,92],"extracts":[68],"features":[70],"database,":[73],"makes":[74],"label":[75],"classification":[76,90],"data,":[77],"forms":[78],"training":[79],"set":[80],"testing":[82],"set,":[83],"recognizes":[85],"by":[88,115],"RF":[89],"experimental":[93],"results":[94,102],"show":[95],"that":[96],"SFR-RF":[98],"achieves":[100],"in":[103],"area":[105],"image":[108],"scrambling.":[109],"It":[110],"improves":[111],"rate":[114],"20%":[116],"compared":[117],"with":[118],"traditional":[120],"decision":[121],"tree":[122],"algorithm,":[123],"making":[124],"proposed":[126],"method":[127],"a":[128],"candidate":[130],"for":[131],"identification.":[136]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}