{"id":"https://openalex.org/W2998716173","doi":"https://doi.org/10.1109/dicta47822.2019.8945969","title":"Reading Meter Numbers in the Wild","display_name":"Reading Meter Numbers in the Wild","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2998716173","doi":"https://doi.org/10.1109/dicta47822.2019.8945969","mag":"2998716173"},"language":"en","primary_location":{"id":"doi:10.1109/dicta47822.2019.8945969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta47822.2019.8945969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5087859719","display_name":"Alessandro Calefati","orcid":"https://orcid.org/0000-0003-3860-4785"},"institutions":[{"id":"https://openalex.org/I115752224","display_name":"University of Insubria","ror":"https://ror.org/00s409261","country_code":"IT","type":"education","lineage":["https://openalex.org/I115752224"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Calefati","raw_affiliation_strings":["Department of Theoretical and Applied Science, University of Insubria, Varese, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Theoretical and Applied Science, University of Insubria, Varese, Italy","institution_ids":["https://openalex.org/I115752224"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054778549","display_name":"Ignazio Gallo","orcid":"https://orcid.org/0000-0002-7076-8328"},"institutions":[{"id":"https://openalex.org/I115752224","display_name":"University of Insubria","ror":"https://ror.org/00s409261","country_code":"IT","type":"education","lineage":["https://openalex.org/I115752224"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ignazio Gallo","raw_affiliation_strings":["Department of Theoretical and Applied Science, University of Insubria, Varese, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Theoretical and Applied Science, University of Insubria, Varese, Italy","institution_ids":["https://openalex.org/I115752224"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016485532","display_name":"Shah Nawaz","orcid":"https://orcid.org/0000-0002-7715-4409"},"institutions":[{"id":"https://openalex.org/I115752224","display_name":"University of Insubria","ror":"https://ror.org/00s409261","country_code":"IT","type":"education","lineage":["https://openalex.org/I115752224"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Shah Nawaz","raw_affiliation_strings":["Department of Theoretical and Applied Science, University of Insubria, Varese, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Theoretical and Applied Science, University of Insubria, Varese, Italy","institution_ids":["https://openalex.org/I115752224"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I115752224"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition 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"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition 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/T12549","display_name":"Image and Object Detection 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/T12357","display_name":"Digital Media Forensic Detection","score":0.9984999895095825,"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/automatic-meter-reading","display_name":"Automatic meter reading","score":0.656499981880188},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.5647221803665161},{"id":"https://openalex.org/keywords/metre","display_name":"Metre","score":0.5130252242088318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46053341031074524},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16768187284469604},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09872299432754517}],"concepts":[{"id":"https://openalex.org/C93763578","wikidata":"https://www.wikidata.org/wiki/Q3503672","display_name":"Automatic meter reading","level":3,"score":0.656499981880188},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.5647221803665161},{"id":"https://openalex.org/C151011524","wikidata":"https://www.wikidata.org/wiki/Q11573","display_name":"Metre","level":2,"score":0.5130252242088318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46053341031074524},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16768187284469604},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09872299432754517},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta47822.2019.8945969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta47822.2019.8945969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:irinsubria.uninsubria.it:11383/2083817","is_oa":false,"landing_page_url":"http://hdl.handle.net/11383/2083817","pdf_url":null,"source":{"id":"https://openalex.org/S4377196351","display_name":"IrInSubria (University of Insubria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I115752224","host_organization_name":"University of Insubria","host_organization_lineage":["https://openalex.org/I115752224"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1488125194","https://openalex.org/W1827297289","https://openalex.org/W1903029394","https://openalex.org/W1922126009","https://openalex.org/W2001297828","https://openalex.org/W2008056655","https://openalex.org/W2148214126","https://openalex.org/W2241470281","https://openalex.org/W2612065540","https://openalex.org/W2777652944","https://openalex.org/W2809947844","https://openalex.org/W2889854113","https://openalex.org/W2950800384","https://openalex.org/W2953301748","https://openalex.org/W2963517393","https://openalex.org/W6629021407","https://openalex.org/W6638685980","https://openalex.org/W6714138976","https://openalex.org/W6737274581"],"related_works":["https://openalex.org/W2232151345","https://openalex.org/W3119631215","https://openalex.org/W2389928019","https://openalex.org/W2363801664","https://openalex.org/W1942845038","https://openalex.org/W2348356850","https://openalex.org/W2379944648","https://openalex.org/W2356169256","https://openalex.org/W2384522934","https://openalex.org/W2362536852"],"abstract_inverted_index":{"In":[0,29],"this":[1,122],"work":[2,123],"we":[3,33,116],"introduce":[4],"a":[5,35,42,62],"pipeline":[6],"to":[7,40,54,100,124],"detect":[8],"and":[9,27,58,80],"recognize":[10],"various":[11],"utility":[12],"meter":[13],"numbers":[14],"in":[15,61,111,121],"the":[16,30,46,56,68,104,112,118,126],"wild.":[17],"The":[18],"system":[19],"leverages":[20],"on":[21],"deep":[22,51],"neural":[23,52],"networks":[24],"for":[25,96],"detection":[26,31],"recognition.":[28],"phase,":[32],"employ":[34],"fully":[36],"Convolutional":[37],"Neural":[38],"Network":[39],"perform":[41],"pixel-wise":[43],"classification,":[44],"while":[45],"recognition":[47],"phase":[48],"employs":[49],"another":[50],"network":[53],"predict":[55],"length":[57],"individual":[59],"digits":[60],"meter.":[63],"We":[64],"qualitatively":[65],"showed":[66],"that":[67],"proposed":[69],"approach":[70,93],"is":[71,85,94],"robust":[72],"against":[73],"severe":[74],"perspective":[75],"distortions,":[76],"different":[77],"lighting":[78],"conditions":[79],"blurred":[81],"images.":[82],"Furthermore,":[83],"it":[84],"capable":[86],"of":[87],"detecting":[88],"small":[89],"scale":[90],"digits.":[91],"Our":[92],"suitable":[95],"billing":[97,113],"companies":[98],"aiming":[99],"increase":[101],"efficiency,":[102],"lowering":[103],"time":[105],"consumed":[106],"by":[107],"manual":[108],"checks":[109],"performed":[110],"process.":[114],"Finally,":[115],"release":[117],"dataset":[119],"used":[120],"benchmark":[125],"task.":[127]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
