{"id":"https://openalex.org/W3160965222","doi":"https://doi.org/10.1109/icpr48806.2021.9412437","title":"ID documents matching and localization with multi-hypothesis constraints","display_name":"ID documents matching and localization with multi-hypothesis constraints","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3160965222","doi":"https://doi.org/10.1109/icpr48806.2021.9412437","mag":"3160965222"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03219532","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030515939","display_name":"Guillaume Chiron","orcid":"https://orcid.org/0009-0004-3665-4900"},"institutions":[{"id":"https://openalex.org/I4210124994","display_name":"AriadNEXT (France)","ror":"https://ror.org/02seyh617","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210124994"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Guillaume Chiron","raw_affiliation_strings":["ARIADNEXT, Cesson-S\u00e9vign\u00e9, France","AriadNext (ZAC des Champs Blancs\r\n1219 Avenue des Champs Blancs\r\n35510 CESSON SEVIGNE - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ARIADNEXT, Cesson-S\u00e9vign\u00e9, France","institution_ids":["https://openalex.org/I4210124994"]},{"raw_affiliation_string":"AriadNext (ZAC des Champs Blancs\r\n1219 Avenue des Champs Blancs\r\n35510 CESSON SEVIGNE - France)","institution_ids":["https://openalex.org/I4210124994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028110682","display_name":"Nabil Ghanmi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124994","display_name":"AriadNEXT (France)","ror":"https://ror.org/02seyh617","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210124994"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nabil Ghanmi","raw_affiliation_strings":["ARIADNEXT, Cesson-S\u00e9vign\u00e9, France","AriadNext (ZAC des Champs Blancs\r\n1219 Avenue des Champs Blancs\r\n35510 CESSON SEVIGNE - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ARIADNEXT, Cesson-S\u00e9vign\u00e9, France","institution_ids":["https://openalex.org/I4210124994"]},{"raw_affiliation_string":"AriadNext (ZAC des Champs Blancs\r\n1219 Avenue des Champs Blancs\r\n35510 CESSON SEVIGNE - France)","institution_ids":["https://openalex.org/I4210124994"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069198157","display_name":"Ahmad Montaser Awal","orcid":"https://orcid.org/0000-0002-0479-6312"},"institutions":[{"id":"https://openalex.org/I4210124994","display_name":"AriadNEXT (France)","ror":"https://ror.org/02seyh617","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210124994"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ahmad Montaser Awal","raw_affiliation_strings":["ARIADNEXT, Cesson-S\u00e9vign\u00e9, France","AriadNext (ZAC des Champs Blancs\r\n1219 Avenue des Champs Blancs\r\n35510 CESSON SEVIGNE - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ARIADNEXT, Cesson-S\u00e9vign\u00e9, France","institution_ids":["https://openalex.org/I4210124994"]},{"raw_affiliation_string":"AriadNext (ZAC des Champs Blancs\r\n1219 Avenue des Champs Blancs\r\n35510 CESSON SEVIGNE - France)","institution_ids":["https://openalex.org/I4210124994"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210124994"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3644","last_page":"3651"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","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/T10601","display_name":"Handwritten Text Recognition Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9980999827384949,"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":0.6975914239883423},{"id":"https://openalex.org/keywords/quadrilateral","display_name":"Quadrilateral","score":0.6290821433067322},{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.6208503842353821},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5295798778533936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5248827338218689},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49630028009414673},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4949895739555359},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4664784073829651},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4652235209941864},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.4345976710319519},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41174620389938354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4097168445587158},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40850627422332764},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3684134781360626},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2002839744091034},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18149101734161377},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09984636306762695}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6975914239883423},{"id":"https://openalex.org/C151756577","wikidata":"https://www.wikidata.org/wiki/Q36810","display_name":"Quadrilateral","level":3,"score":0.6290821433067322},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.6208503842353821},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5295798778533936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5248827338218689},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49630028009414673},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4949895739555359},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4664784073829651},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4652235209941864},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.4345976710319519},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41174620389938354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4097168445587158},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40850627422332764},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3684134781360626},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2002839744091034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18149101734161377},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09984636306762695},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03219532v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03219532","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"25th International Conference on Pattern Recognition, ICPR 2020, Jan 2021, Milan (virtual event), Italy. ⟨10.1109/ICPR48806.2021.9412437⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:oskar-bordeaux.fr:20.500.12278/30243","is_oa":false,"landing_page_url":"https://oskar-bordeaux.fr/handle/20.500.12278/30243","pdf_url":null,"source":{"id":"https://openalex.org/S4306402569","display_name":"Oskar-Bordeaux (Universite de Bordeaux)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication dans un congr\u00e8s avec actes"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03219532v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03219532","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"25th International Conference on Pattern Recognition, ICPR 2020, Jan 2021, Milan (virtual event), Italy. ⟨10.1109/ICPR48806.2021.9412437⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.5199999809265137,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1903029394","https://openalex.org/W1986998312","https://openalex.org/W2020358309","https://openalex.org/W2068341180","https://openalex.org/W2087681821","https://openalex.org/W2143425792","https://openalex.org/W2550687635","https://openalex.org/W2605982830","https://openalex.org/W2606613765","https://openalex.org/W2755736192","https://openalex.org/W2786749633","https://openalex.org/W2787331966","https://openalex.org/W2883558401","https://openalex.org/W2892074862","https://openalex.org/W2924296694","https://openalex.org/W2948206529","https://openalex.org/W2962773189","https://openalex.org/W2963307811","https://openalex.org/W2963644257","https://openalex.org/W2969005405","https://openalex.org/W2972023093","https://openalex.org/W2990316246","https://openalex.org/W2991403888","https://openalex.org/W3003246940","https://openalex.org/W3003407834","https://openalex.org/W3005436539","https://openalex.org/W3011529127","https://openalex.org/W3100423079","https://openalex.org/W3103298366","https://openalex.org/W4301860955","https://openalex.org/W6637400245","https://openalex.org/W6729791593","https://openalex.org/W6743555153"],"related_works":["https://openalex.org/W2034439647","https://openalex.org/W3184921334","https://openalex.org/W4249589822","https://openalex.org/W4225381306","https://openalex.org/W1968844089","https://openalex.org/W2953041517","https://openalex.org/W2103063669","https://openalex.org/W2898882437","https://openalex.org/W4380551034","https://openalex.org/W2045999312"],"abstract_inverted_index":{"This":[0,54],"paper":[1],"presents":[2],"an":[3,152],"approach":[4,29],"for":[5],"spotting":[6],"and":[7,24,44,140,151],"accurately":[8],"localizing":[9],"identity":[10],"documents":[11],"in":[12,93,120],"the":[13,27,61,85,101,132,147],"wild.":[14],"Contrary":[15],"to":[16,60,109,118,129],"blind":[17],"solutions":[18],"that":[19],"often":[20],"rely":[21],"on":[22,145],"borders":[23],"corners":[25],"detection,":[26],"proposed":[28,135],"requires":[30],"a":[31,33,37,96,110,121,159],"classification":[32],"priori":[34],"along":[35],"with":[36,72],"list":[38],"of":[39,65,91,158],"predefined":[40],"models.":[41],"The":[42,115,134],"matching":[43],"accurate":[45],"localization":[46],"are":[47],"performed":[48],"using":[49],"specific":[50],"ID":[51,66],"document":[52,103],"features.":[53],"process":[55],"is":[56,106,117],"especially":[57],"difficult":[58],"due":[59],"intrinsic":[62],"variable":[63],"nature":[64],"models":[67],"(text":[68],"fields,":[69],"multi-pass":[70],"printing":[71],"offset,":[73],"unstable":[74],"layouts,":[75],"added":[76],"artifacts,":[77],"blinking":[78],"security":[79],"elements,":[80],"nonrigid":[81],"materials).":[82],"We":[83],"tackle":[84],"problem":[86],"by":[87],"putting":[88],"different":[89],"combinations":[90],"features":[92],"competition":[94],"within":[95],"multi-hypothesis":[97],"exploration":[98],"where":[99],"only":[100],"best":[102],"quadrilateral":[104],"candidate":[105],"retained":[107],"thanks":[108],"custom":[111],"visual":[112],"similarity":[113],"metric.":[114],"idea":[116],"find,":[119],"given":[122],"context,":[123],"at":[124],"least":[125],"one":[126,154],"feature":[127],"able":[128],"correctly":[130],"crop":[131],"document.":[133],"solution":[136],"has":[137,141],"been":[138],"tested":[139],"shown":[142],"its":[143],"benefits":[144],"both":[146],"MIDV-500":[148],"academic":[149],"dataset":[150],"industrial":[153],"supposedly":[155],"more":[156],"representative":[157],"real-life":[160],"application.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}