{"id":"https://openalex.org/W2312530232","doi":"https://doi.org/10.1109/siu.2015.7130034","title":"An optimization approach for invoice image analysis","display_name":"An optimization approach for invoice image analysis","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W2312530232","doi":"https://doi.org/10.1109/siu.2015.7130034","mag":"2312530232"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2015.7130034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2015.7130034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23nd Signal Processing and Communications Applications Conference (SIU)","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/A5028554144","display_name":"Enes Aslan","orcid":"https://orcid.org/0000-0002-3204-4601"},"institutions":[{"id":"https://openalex.org/I109297418","display_name":"Gebze Technical University","ror":"https://ror.org/01sdnnq10","country_code":"TR","type":"education","lineage":["https://openalex.org/I109297418"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Enes Aslan","raw_affiliation_strings":["GIT Vision Lab, Gebze Teknik \u00dcniversitesi, Kocaeli, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GIT Vision Lab, Gebze Teknik \u00dcniversitesi, Kocaeli, T\u00fcrkiye","institution_ids":["https://openalex.org/I109297418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014460152","display_name":"Tugrul Karakaya","orcid":null},"institutions":[{"id":"https://openalex.org/I109297418","display_name":"Gebze Technical University","ror":"https://ror.org/01sdnnq10","country_code":"TR","type":"education","lineage":["https://openalex.org/I109297418"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Tugrul Karakaya","raw_affiliation_strings":["GIT Vision Lab, Gebze Teknik \u00dcniversitesi, Kocaeli, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GIT Vision Lab, Gebze Teknik \u00dcniversitesi, Kocaeli, T\u00fcrkiye","institution_ids":["https://openalex.org/I109297418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110215307","display_name":"Ethem \u00dcnver","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ethem Unver","raw_affiliation_strings":["Ar-Ge B\u00f6l\u00fcm\u00fc, Kuveytt\u00fcrk Kat\u0131l\u0131m Bankas\u0131, Kocaeli, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ar-Ge B\u00f6l\u00fcm\u00fc, Kuveytt\u00fcrk Kat\u0131l\u0131m Bankas\u0131, Kocaeli, T\u00fcrkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076768060","display_name":"Yusuf Sinan Akg\u00fcl","orcid":"https://orcid.org/0000-0001-8501-4812"},"institutions":[{"id":"https://openalex.org/I109297418","display_name":"Gebze Technical University","ror":"https://ror.org/01sdnnq10","country_code":"TR","type":"education","lineage":["https://openalex.org/I109297418"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Yusuf Sinan Akgul","raw_affiliation_strings":["GIT Vision Lab, Gebze Teknik \u00dcniversitesi, Kocaeli, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GIT Vision Lab, Gebze Teknik \u00dcniversitesi, Kocaeli, T\u00fcrkiye","institution_ids":["https://openalex.org/I109297418"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028554144"],"corresponding_institution_ids":["https://openalex.org/I109297418"],"apc_list":null,"apc_paid":null,"fwci":0.4208,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72008581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1130","last_page":"1133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.986299991607666,"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":0.9839000105857849,"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/invoice","display_name":"Invoice","score":0.9552757740020752},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7342240810394287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6904129385948181},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5670942068099976},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48119479417800903},{"id":"https://openalex.org/keywords/authorization","display_name":"Authorization","score":0.46349024772644043},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.457277774810791},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.4124753773212433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34220609068870544},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.26157015562057495},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.19504788517951965},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09552285075187683}],"concepts":[{"id":"https://openalex.org/C2781456945","wikidata":"https://www.wikidata.org/wiki/Q190581","display_name":"Invoice","level":2,"score":0.9552757740020752},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7342240810394287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6904129385948181},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5670942068099976},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48119479417800903},{"id":"https://openalex.org/C108759981","wikidata":"https://www.wikidata.org/wiki/Q788590","display_name":"Authorization","level":2,"score":0.46349024772644043},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.457277774810791},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.4124753773212433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34220609068870544},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.26157015562057495},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.19504788517951965},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09552285075187683},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2015.7130034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2015.7130034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23nd Signal Processing and Communications Applications Conference (SIU)","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":9,"referenced_works":["https://openalex.org/W1516011513","https://openalex.org/W1537287887","https://openalex.org/W1537936980","https://openalex.org/W2030536784","https://openalex.org/W2045798786","https://openalex.org/W2096778837","https://openalex.org/W2124482803","https://openalex.org/W2325227998","https://openalex.org/W2397798769"],"related_works":["https://openalex.org/W2014638835","https://openalex.org/W4254961695","https://openalex.org/W4206165709","https://openalex.org/W2392846042","https://openalex.org/W3198095220","https://openalex.org/W1537287887","https://openalex.org/W2265899139","https://openalex.org/W4394693023","https://openalex.org/W2356275634","https://openalex.org/W2374482869"],"abstract_inverted_index":{"Automated":[0],"invoice":[1,46,57,64,82,95,110],"processing":[2,16],"and":[3,12,21,55,72,126],"information":[4],"extraction":[5],"has":[6],"attracted":[7],"remarkable":[8],"interest":[9],"from":[10],"business":[11],"academic":[13],"circles.":[14],"Invoice":[15],"is":[17,91,113,121],"a":[18,44,51,100],"very":[19],"critical":[20],"costly":[22],"operation":[23],"for":[24,77,131],"participation":[25],"banks":[26],"because":[27,111],"credit":[28],"authorization":[29],"process":[30],"must":[31],"be":[32,129],"linked":[33],"with":[34,123],"real":[35,124,132],"trade":[36],"activity":[37],"via":[38],"invoices.":[39],"Therefore":[40],"this":[41],"paper":[42],"proposes":[43],"new":[45],"parsing":[47],"method":[48],"that":[49],"uses":[50,62],"two-phase":[52],"optimization":[53,115],"structure":[54],"eliminates":[56],"classes.":[58],"The":[59,118],"first":[60],"phase":[61],"individual":[63],"part":[65],"detectors":[66],"such":[67],"as":[68],"SVM,":[69],"maximum":[70],"entropy":[71],"HOG":[73],"to":[74,92,128],"produce":[75],"candidates":[76],"the":[78,85,88],"various":[79],"types":[80],"of":[81,109],"parts.":[83],"At":[84],"second":[86],"phase,":[87],"basic":[89],"idea":[90],"parse":[93],"an":[94,114],"by":[96],"parts":[97],"arranged":[98],"in":[99],"deformable":[101],"composition.":[102],"This":[103],"system":[104,120],"can":[105],"handle":[106],"any":[107],"type":[108],"PBM":[112],"based":[116],"method.":[117],"proposed":[119],"tested":[122],"invoices":[125],"found":[127],"promising":[130],"world":[133],"employment.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}