{"id":"https://openalex.org/W2093197312","doi":"https://doi.org/10.1109/digitalheritage.2013.6743802","title":"ATHENA: Automatic text height extraction for the analysis of old handwritten manuscripts","display_name":"ATHENA: Automatic text height extraction for the analysis of old handwritten manuscripts","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2093197312","doi":"https://doi.org/10.1109/digitalheritage.2013.6743802","mag":"2093197312"},"language":"en","primary_location":{"id":"doi:10.1109/digitalheritage.2013.6743802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/digitalheritage.2013.6743802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Digital Heritage International Congress (DigitalHeritage)","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/A5066740670","display_name":"Ruggero Pintus","orcid":"https://orcid.org/0000-0003-1786-7068"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruggero Pintus","raw_affiliation_strings":["Yale University","Yale University  ;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale University","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Yale University  ;","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115604899","display_name":"Ying Yang","orcid":"https://orcid.org/0000-0002-9571-553X"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Yang","raw_affiliation_strings":["Yale University","Yale University  ;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale University","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Yale University  ;","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064638062","display_name":"Holly Rushmeier","orcid":"https://orcid.org/0000-0001-5241-0886"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Holly Rushmeier","raw_affiliation_strings":["Yale University","Yale University  ;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yale University","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Yale University  ;","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5525,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72205229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"605","last_page":"612"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9890999794006348,"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":0.7477611303329468},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6411164999008179},{"id":"https://openalex.org/keywords/delicacy","display_name":"Delicacy","score":0.541115939617157},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.534334659576416},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5141041874885559},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4856621026992798},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4800166189670563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47934871912002563},{"id":"https://openalex.org/keywords/digital-library","display_name":"Digital library","score":0.4450586438179016},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.17017048597335815},{"id":"https://openalex.org/keywords/poetry","display_name":"Poetry","score":0.11681044101715088},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08661094307899475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7477611303329468},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6411164999008179},{"id":"https://openalex.org/C2781059922","wikidata":"https://www.wikidata.org/wiki/Q2312129","display_name":"Delicacy","level":2,"score":0.541115939617157},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.534334659576416},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5141041874885559},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4856621026992798},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4800166189670563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47934871912002563},{"id":"https://openalex.org/C513874922","wikidata":"https://www.wikidata.org/wiki/Q212805","display_name":"Digital library","level":3,"score":0.4450586438179016},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.17017048597335815},{"id":"https://openalex.org/C164913051","wikidata":"https://www.wikidata.org/wiki/Q482","display_name":"Poetry","level":2,"score":0.11681044101715088},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08661094307899475},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/digitalheritage.2013.6743802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/digitalheritage.2013.6743802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Digital Heritage International Congress (DigitalHeritage)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7200000286102295,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1484881293","https://openalex.org/W1507914755","https://openalex.org/W1535334545","https://openalex.org/W1542278998","https://openalex.org/W1543412398","https://openalex.org/W1544461933","https://openalex.org/W1591968955","https://openalex.org/W1607777186","https://openalex.org/W1977415836","https://openalex.org/W1978608969","https://openalex.org/W1982907973","https://openalex.org/W2001297828","https://openalex.org/W2020719504","https://openalex.org/W2021209973","https://openalex.org/W2026381598","https://openalex.org/W2038481242","https://openalex.org/W2060011982","https://openalex.org/W2079352267","https://openalex.org/W2084980974","https://openalex.org/W2099306567","https://openalex.org/W2103377156","https://openalex.org/W2106199535","https://openalex.org/W2109645316","https://openalex.org/W2110224595","https://openalex.org/W2110237603","https://openalex.org/W2111099669","https://openalex.org/W2111301113","https://openalex.org/W2127802104","https://openalex.org/W2128060444","https://openalex.org/W2129997204","https://openalex.org/W2133059825","https://openalex.org/W2134842516","https://openalex.org/W2151537777","https://openalex.org/W2160072137","https://openalex.org/W2161833674","https://openalex.org/W3098821875","https://openalex.org/W4298109262","https://openalex.org/W6632237287","https://openalex.org/W6632689997","https://openalex.org/W6635291806","https://openalex.org/W6656987207","https://openalex.org/W6680096826","https://openalex.org/W6682308466"],"related_works":["https://openalex.org/W2386571685","https://openalex.org/W1974410377","https://openalex.org/W1542062497","https://openalex.org/W2370060234","https://openalex.org/W3089381466","https://openalex.org/W43331303","https://openalex.org/W2362005324","https://openalex.org/W2885835934","https://openalex.org/W3171126006","https://openalex.org/W2392865215"],"abstract_inverted_index":{"A":[0],"massive":[1],"digital":[2,26],"acquisition":[3],"of":[4,7,24,66,69,86,95,105],"huge":[5,102],"sets":[6],"deteriorating":[8],"historical":[9],"documents":[10],"is":[11,28,98],"mandatory":[12],"due":[13],"to":[14,57,78],"their":[15],"value":[16],"and":[17,21,45,72,89,112,124],"delicacy.":[18],"The":[19,93],"study":[20],"the":[22,34,64,84,96],"browsing":[23],"such":[25,118],"libraries":[27],"becoming":[29],"crucial":[30],"for":[31,43],"scholars":[32],"in":[33,83],"Cultural":[35],"Heritage":[36],"field,":[37],"but":[38],"it":[39],"requires":[40],"automatic":[41,59],"tools":[42],"analyzing":[44],"indexing":[46],"those":[47],"dataset":[48],"items.":[49],"We":[50],"present":[51],"here":[52],"a":[53,80,101],"layout":[54],"analysis":[55],"method":[56,97],"perform":[58],"text":[60,126],"height":[61],"estimation,":[62],"without":[63],"need":[65],"any":[67],"kind":[68],"manual":[70],"intervention":[71],"user":[73],"defined":[74],"parameters.":[75],"It":[76],"proves":[77],"be":[79],"robust":[81],"technique":[82],"case":[85],"very":[87],"noisy":[88],"damaged":[90],"handwritten":[91],"manuscripts.":[92],"effectiveness":[94],"demonstrated":[99],"on":[100],"heterogeneous":[103],"corpus":[104],"medieval":[106],"manuscripts,":[107],"with":[108],"different":[109],"writing":[110],"styles,":[111],"affected":[113],"by":[114],"other":[115],"uncontrollable":[116],"factors,":[117],"as":[119],"ink":[120],"bleed-through,":[121],"background":[122],"noise,":[123],"overtyping":[125],"lines.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
