{"id":"https://openalex.org/W2044231290","doi":"https://doi.org/10.1145/2583115","title":"Reading the legends of Roman Republican coins","display_name":"Reading the legends of Roman Republican coins","publication_year":2014,"publication_date":"2014-02-13","ids":{"openalex":"https://openalex.org/W2044231290","doi":"https://doi.org/10.1145/2583115","mag":"2044231290"},"language":"en","primary_location":{"id":"doi:10.1145/2583115","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2583115","pdf_url":null,"source":{"id":"https://openalex.org/S4210184050","display_name":"Journal on Computing and Cultural Heritage","issn_l":"1556-4711","issn":["1556-4711","1556-4673"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal on Computing and Cultural Heritage","raw_type":"journal-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/A5020215425","display_name":"Albert Kavelar","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Albert Kavelar","raw_affiliation_strings":["Vienna University of Technology, Vienna, Austria","Vienna University of technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Vienna University of technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074305874","display_name":"Sebastian Zambanini","orcid":"https://orcid.org/0000-0002-3459-8122"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Sebastian Zambanini","raw_affiliation_strings":["Vienna University of Technology, Vienna, Austria","Vienna University of technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Vienna University of technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081324708","display_name":"Martin Kampel","orcid":"https://orcid.org/0000-0002-5217-2854"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Martin Kampel","raw_affiliation_strings":["Vienna University of Technology, Vienna, Austria","Vienna University of technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Vienna University of technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":0.5351,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72808701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":"1","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":1.0,"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/T14319","display_name":"Currency Recognition and Detection","score":1.0,"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":0.9947999715805054,"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":0.9732999801635742,"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/optical-character-recognition","display_name":"Optical character recognition","score":0.7811213731765747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7508001327514648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6111952662467957},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6064426898956299},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.5287418365478516},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46138718724250793},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4394254982471466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4378143548965454},{"id":"https://openalex.org/keywords/intelligent-character-recognition","display_name":"Intelligent character recognition","score":0.4354539215564728},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.43312543630599976},{"id":"https://openalex.org/keywords/intelligent-word-recognition","display_name":"Intelligent word recognition","score":0.43087780475616455},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35605472326278687},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.2901599109172821},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13533371686935425}],"concepts":[{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.7811213731765747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7508001327514648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6111952662467957},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6064426898956299},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.5287418365478516},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46138718724250793},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4394254982471466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4378143548965454},{"id":"https://openalex.org/C44868376","wikidata":"https://www.wikidata.org/wiki/Q3099089","display_name":"Intelligent character recognition","level":4,"score":0.4354539215564728},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.43312543630599976},{"id":"https://openalex.org/C17649283","wikidata":"https://www.wikidata.org/wiki/Q6044162","display_name":"Intelligent word recognition","level":5,"score":0.43087780475616455},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35605472326278687},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.2901599109172821},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13533371686935425},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":1,"locations":[{"id":"doi:10.1145/2583115","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2583115","pdf_url":null,"source":{"id":"https://openalex.org/S4210184050","display_name":"Journal on Computing and Cultural Heritage","issn_l":"1556-4711","issn":["1556-4711","1556-4673"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal on Computing and Cultural Heritage","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W62952443","https://openalex.org/W95646260","https://openalex.org/W247104752","https://openalex.org/W658135021","https://openalex.org/W1515477905","https://openalex.org/W1518259685","https://openalex.org/W1521064364","https://openalex.org/W1542931642","https://openalex.org/W1567150374","https://openalex.org/W1579279110","https://openalex.org/W1618905105","https://openalex.org/W1678724780","https://openalex.org/W1758892812","https://openalex.org/W1797523785","https://openalex.org/W1883432548","https://openalex.org/W1967480650","https://openalex.org/W1971281193","https://openalex.org/W1993167571","https://openalex.org/W1998042868","https://openalex.org/W1999352753","https://openalex.org/W2017962986","https://openalex.org/W2030536784","https://openalex.org/W2045798786","https://openalex.org/W2057175746","https://openalex.org/W2062361515","https://openalex.org/W2097290407","https://openalex.org/W2099256741","https://openalex.org/W2099606917","https://openalex.org/W2099930951","https://openalex.org/W2102372511","https://openalex.org/W2104853049","https://openalex.org/W2108444897","https://openalex.org/W2114859834","https://openalex.org/W2119605622","https://openalex.org/W2124386111","https://openalex.org/W2126833203","https://openalex.org/W2128060444","https://openalex.org/W2133059825","https://openalex.org/W2133503046","https://openalex.org/W2142069714","https://openalex.org/W2142159465","https://openalex.org/W2145072179","https://openalex.org/W2148596671","https://openalex.org/W2148694408","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2162395775","https://openalex.org/W2167292282","https://openalex.org/W2168002178","https://openalex.org/W2177274842","https://openalex.org/W2548695521","https://openalex.org/W2595373313","https://openalex.org/W3097096317","https://openalex.org/W4285719527","https://openalex.org/W4400827182","https://openalex.org/W4406726441"],"related_works":["https://openalex.org/W2218402054","https://openalex.org/W4384296853","https://openalex.org/W954954433","https://openalex.org/W2183182603","https://openalex.org/W2557740161","https://openalex.org/W3044341113","https://openalex.org/W1539564004","https://openalex.org/W2168844671","https://openalex.org/W2385138842","https://openalex.org/W2011042697"],"abstract_inverted_index":{"Coin":[0],"classification":[1,17],"is":[2,52,62,151,225,241],"one":[3,53,206],"of":[4,8,12,54,70,85,111,124,128,144,174,187,202,232],"the":[5,50,55,67,83,109,129,133,142,148,188,200,209,213,219,222,233,253,261],"main":[6],"aspects":[7],"numismatics.":[9],"The":[10],"introduction":[11],"an":[13,63,71,217],"automated":[14],"image-based":[15,72],"coin":[16,36,73,89,116],"system":[18],"could":[19],"assist":[20],"numismatists":[21,29],"in":[22,66,108,162],"their":[23,35,112],"everyday":[24],"work":[25],"and":[26,59,104,135,140,176,199,228,245,258],"allow":[27],"hobby":[28],"to":[30,41,207,268],"gain":[31],"additional":[32],"information":[33],"on":[34,106,153,243,248,252],"collection":[37],"by":[38],"uploading":[39],"images":[40],"a":[42,79,122,171,194],"respective":[43,189],"Web":[44],"site.":[45],"For":[46],"Roman":[47,87],"Republican":[48,88],"coins,":[49],"inscription":[51],"most":[56],"significant":[57],"features,":[58],"its":[60],"recognition":[61,74,84,94,113,157,230,240,247,263],"essential":[64],"part":[65],"successful":[68],"research":[69],"system.":[75],"This":[76],"article":[77],"presents":[78],"novel":[80],"way":[81],"for":[82,99,170,184,196,212],"ancient":[86],"legends.":[90],"Traditional":[91],"optical":[92],"character":[93,239],"(OCR)":[95],"strategies":[96],"were":[97],"designed":[98],"printed":[100],"or":[101],"handwritten":[102],"texts":[103],"rely":[105],"binarization":[107,136],"course":[110],"process.":[114],"Since":[115],"legends":[117],"are":[118,127,160,168,177,236],"simply":[119],"embossed":[120],"onto":[121],"piece":[123],"metal,":[125],"they":[126],"same":[130],"color":[131],"as":[132],"background":[134],"becomes":[137],"error":[138],"prone":[139],"prohibits":[141],"use":[143,201],"standard":[145],"OCR.":[146],"Therefore,":[147],"proposed":[149,234],"method":[150,235],"based":[152],"state-of-the-art":[154],"scene":[155],"text":[156],"methods":[158],"that":[159],"rooted":[161],"object":[163],"recognition.":[164],"S":[165,254],"ift":[166,255],"descriptors":[167],"computed":[169],"dense":[172],"grid":[173],"keypoints":[175],"tested":[178],"using":[179],"support":[180],"vector":[181],"machines":[182],"trained":[183],"each":[185],"letter":[186],"alphabet.":[190],"Each":[191],"descriptor":[192],"receives":[193],"score":[195],"every":[197],"letter,":[198],"pictorial":[203],"structures":[204],"allows":[205],"detect":[208],"optimal":[210],"configuration":[211],"lexicon":[214],"words":[215],"within":[216],"image;":[218],"word":[220,229,246,262],"causing":[221],"lowest":[223],"costs":[224],"recognized.":[226],"Character":[227],"capabilities":[231],"evaluated":[237],"individually;":[238],"benchmarked":[242],"three":[244],"different":[249],"datasets.":[250],"Depending":[251],"configuration,":[256],"lexicon,":[257],"dataset":[259],"used,":[260],"rates":[264],"range":[265],"from":[266],"29%":[267],"67%.":[269]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
