{"id":"https://openalex.org/W4206627431","doi":"https://doi.org/10.1145/3487664.3487738","title":"Towards an Intelligent Fuzzy-fusion Model for Identity Document Classification","display_name":"Towards an Intelligent Fuzzy-fusion Model for Identity Document Classification","publication_year":2021,"publication_date":"2021-11-29","ids":{"openalex":"https://openalex.org/W4206627431","doi":"https://doi.org/10.1145/3487664.3487738"},"language":"en","primary_location":{"id":"doi:10.1145/3487664.3487738","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3487664.3487738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 23rd International Conference on Information Integration and Web Intelligence","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/A5053110971","display_name":"Nouna Khandan","orcid":null},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Nouna Khandan","raw_affiliation_strings":["Macquarie University, Australia"],"affiliations":[{"raw_affiliation_string":"Macquarie University, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056293251","display_name":"Amin Beheshti","orcid":"https://orcid.org/0000-0002-5988-5494"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Amin Beheshti","raw_affiliation_strings":["Macquarie University, Australia"],"affiliations":[{"raw_affiliation_string":"Macquarie University, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061035607","display_name":"Helia Farhood","orcid":"https://orcid.org/0000-0001-8213-2338"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Helia Farhood","raw_affiliation_strings":["Macquarie University, Australia"],"affiliations":[{"raw_affiliation_string":"Macquarie University, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007860053","display_name":"Matineh Pooshideh","orcid":"https://orcid.org/0000-0003-3413-6873"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Matineh Pooshideh","raw_affiliation_strings":["Macquarie University, Australia"],"affiliations":[{"raw_affiliation_string":"Macquarie University, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108978976","display_name":"Mike Simpson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mike Simpson","raw_affiliation_strings":["Locii Holdings Pty Ltd, Australia"],"affiliations":[{"raw_affiliation_string":"Locii Holdings Pty Ltd, Australia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002737894","display_name":"Nick Gatland","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nick Gatland","raw_affiliation_strings":["Locii Holdings Pty Ltd, Australia"],"affiliations":[{"raw_affiliation_string":"Locii Holdings Pty Ltd, Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5053110971"],"corresponding_institution_ids":["https://openalex.org/I99043593"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18158497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"523","last_page":"531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9990000128746033,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9990000128746033,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9962999820709229,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.991100013256073,"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":0.7330487370491028},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6336199045181274},{"id":"https://openalex.org/keywords/digitization","display_name":"Digitization","score":0.5994232892990112},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.539729118347168},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48406925797462463},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47719869017601013},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47597092390060425},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.47217363119125366},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4693050682544708},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4486614465713501},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4428376853466034},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.4195311367511749},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18851792812347412}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7330487370491028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6336199045181274},{"id":"https://openalex.org/C2779308522","wikidata":"https://www.wikidata.org/wiki/Q843958","display_name":"Digitization","level":2,"score":0.5994232892990112},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.539729118347168},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48406925797462463},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47719869017601013},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47597092390060425},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.47217363119125366},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4693050682544708},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4486614465713501},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4428376853466034},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.4195311367511749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18851792812347412},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3487664.3487738","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3487664.3487738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 23rd International Conference on Information Integration and Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W300550232","https://openalex.org/W1529672735","https://openalex.org/W1563350674","https://openalex.org/W1976127127","https://openalex.org/W2140485652","https://openalex.org/W2151103935","https://openalex.org/W2492513888","https://openalex.org/W2606613765","https://openalex.org/W2755727533","https://openalex.org/W2787331966","https://openalex.org/W2794124524","https://openalex.org/W2794545703","https://openalex.org/W2964036463","https://openalex.org/W3003407834","https://openalex.org/W3005351039","https://openalex.org/W4236135856","https://openalex.org/W4254544833"],"related_works":["https://openalex.org/W1539704186","https://openalex.org/W4254109238","https://openalex.org/W2399890175","https://openalex.org/W4308177873","https://openalex.org/W3202479762","https://openalex.org/W2480493049","https://openalex.org/W2592115649","https://openalex.org/W4322582183","https://openalex.org/W1937392525","https://openalex.org/W2347632764"],"abstract_inverted_index":{"Digitization,":[0],"i.e.,":[1],"the":[2,24,55,96,100,112,141],"process":[3],"of":[4,23,57],"converting":[5],"information":[6],"into":[7],"a":[8,49],"digital":[9],"format,":[10],"may":[11],"provide":[12],"various":[13],"opportunities":[14],"and":[15,80,89,128,133],"challenges":[16,26],"for":[17,99],"businesses.":[18],"In":[19],"this":[20],"context,":[21],"one":[22],"main":[25],"would":[27],"be":[28],"to":[29,53,94,110],"accurately":[30],"classify":[31],"numerous":[32],"scanned":[33],"documents":[34,59],"uploaded":[35],"every":[36],"day":[37],"by":[38],"customers":[39],"as":[40],"usual":[41],"business":[42],"processes.":[43],"The":[44,61,120,136],"current":[45],"study":[46],"has":[47,91,107,123],"proposed":[48,62,93,109,121],"robust":[50],"fusion":[51,105],"model":[52,85,106],"define":[54],"type":[56],"identity":[58],"accurately.":[60],"approach":[63,122],"is":[64,138],"based":[65,75,86,115],"on":[66,76,87,116,131],"two":[67],"different":[68],"methods":[69],"in":[70],"which":[71],"images":[72],"are":[73],"classified":[74],"their":[77,117],"visual":[78],"features":[79],"text":[81],"features.":[82],"A":[83,103],"novel":[84],"statistics":[88],"regression":[90],"been":[92,108,124],"calculate":[95],"confidence":[97,118],"level":[98],"feature-based":[101],"classifier.":[102],"fuzzy-mean":[104],"combine":[111],"classifier":[113],"results":[114],"score.":[119],"implemented":[125],"using":[126,140],"Python":[127],"experimentally":[129],"validated":[130],"synthetic":[132],"real-world":[134],"datasets.":[135],"performance":[137],"evaluated":[139],"Receiver":[142],"Operating":[143],"Characteristic":[144],"(ROC)":[145],"curve":[146],"analysis.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
