{"id":"https://openalex.org/W2980383999","doi":"https://doi.org/10.1145/3352631.3352648","title":"BADAM","display_name":"BADAM","publication_year":2019,"publication_date":"2019-09-20","ids":{"openalex":"https://openalex.org/W2980383999","doi":"https://doi.org/10.1145/3352631.3352648","mag":"2980383999"},"language":"en","primary_location":{"id":"doi:10.1145/3352631.3352648","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3352631.3352648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Workshop on Historical Document Imaging and Processing","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/A5087646835","display_name":"Benjamin Kiessling","orcid":"https://orcid.org/0000-0001-9543-7827"},"institutions":[{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]},{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]},{"id":"https://openalex.org/I338023381","display_name":"Alexander von Humboldt Foundation","ror":"https://ror.org/012kf4317","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I338023381"]}],"countries":["DE","FR"],"is_corresponding":true,"raw_author_name":"Benjamin Kiessling","raw_affiliation_strings":["Alexander von Humboldt-Chair for Digital Humanities, Leipzig University, Leipzig, Germany Universit\u00e9 PSL, Paris, France"],"affiliations":[{"raw_affiliation_string":"Alexander von Humboldt-Chair for Digital Humanities, Leipzig University, Leipzig, Germany Universit\u00e9 PSL, Paris, France","institution_ids":["https://openalex.org/I338023381","https://openalex.org/I926574661","https://openalex.org/I2746051580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005020217","display_name":"Daniel St\u00f6kl Ben Ezra","orcid":"https://orcid.org/0000-0001-5668-493X"},"institutions":[{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]},{"id":"https://openalex.org/I159885104","display_name":"\u00c9cole Pratique des Hautes \u00c9tudes","ror":"https://ror.org/046b3cj80","country_code":"FR","type":"education","lineage":["https://openalex.org/I159885104","https://openalex.org/I2746051580"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Daniel St\u00f6kl Ben Ezra","raw_affiliation_strings":["\u00c9cole Pratique des Hautes \u00c9tudes (EPHE), Universit\u00e9 PSL, Paris, France"],"affiliations":[{"raw_affiliation_string":"\u00c9cole Pratique des Hautes \u00c9tudes (EPHE), Universit\u00e9 PSL, Paris, France","institution_ids":["https://openalex.org/I159885104","https://openalex.org/I2746051580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089555802","display_name":"Matthew Thomas Miller","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Thomas Miller","raw_affiliation_strings":["Roshan Institute for Persian Studies, University of Maryland, College Park, Maryland"],"affiliations":[{"raw_affiliation_string":"Roshan Institute for Persian Studies, University of Maryland, College Park, Maryland","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087646835"],"corresponding_institution_ids":["https://openalex.org/I2746051580","https://openalex.org/I338023381","https://openalex.org/I926574661"],"apc_list":null,"apc_paid":null,"fwci":1.4306,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.85800322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","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/T10601","display_name":"Handwritten Text Recognition Techniques","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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9980000257492065,"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":0.9925000071525574,"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":0.8506029844284058},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.7635151147842407},{"id":"https://openalex.org/keywords/handwriting","display_name":"Handwriting","score":0.6584957838058472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6305818557739258},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.5732358694076538},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5709047317504883},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.569109320640564},{"id":"https://openalex.org/keywords/text-recognition","display_name":"Text recognition","score":0.5058929324150085},{"id":"https://openalex.org/keywords/handwriting-recognition","display_name":"Handwriting recognition","score":0.48268675804138184},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.45841193199157715},{"id":"https://openalex.org/keywords/historical-document","display_name":"Historical document","score":0.4375242590904236},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.42450380325317383},{"id":"https://openalex.org/keywords/document-layout-analysis","display_name":"Document layout analysis","score":0.4107440710067749},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3624604344367981},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35307157039642334},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2596883177757263},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.2468378245830536},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0997307300567627},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08808311820030212}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8506029844284058},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.7635151147842407},{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.6584957838058472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6305818557739258},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.5732358694076538},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5709047317504883},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.569109320640564},{"id":"https://openalex.org/C2983812711","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text recognition","level":3,"score":0.5058929324150085},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.48268675804138184},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45841193199157715},{"id":"https://openalex.org/C2778371909","wikidata":"https://www.wikidata.org/wiki/Q3771738","display_name":"Historical document","level":2,"score":0.4375242590904236},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.42450380325317383},{"id":"https://openalex.org/C72773152","wikidata":"https://www.wikidata.org/wiki/Q5287629","display_name":"Document layout analysis","level":3,"score":0.4107440710067749},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3624604344367981},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35307157039642334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2596883177757263},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2468378245830536},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0997307300567627},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08808311820030212},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3352631.3352648","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3352631.3352648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Workshop on Historical Document Imaging and Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1901129140","https://openalex.org/W1981934656","https://openalex.org/W2001803719","https://openalex.org/W2005173844","https://openalex.org/W2048733914","https://openalex.org/W2049105599","https://openalex.org/W2073465796","https://openalex.org/W2112427671","https://openalex.org/W2124410444","https://openalex.org/W2576852589","https://openalex.org/W2763660616","https://openalex.org/W2786219411","https://openalex.org/W2809706170","https://openalex.org/W2905836308","https://openalex.org/W2964332134","https://openalex.org/W3105016451","https://openalex.org/W4242177601"],"related_works":["https://openalex.org/W3003949997","https://openalex.org/W3199359807","https://openalex.org/W2110485610","https://openalex.org/W3047607512","https://openalex.org/W4390983538","https://openalex.org/W2744690920","https://openalex.org/W2787081548","https://openalex.org/W183832189","https://openalex.org/W2536878212","https://openalex.org/W1977721684"],"abstract_inverted_index":{"The":[0],"application":[1],"of":[2,19,33,46,58],"handwritten":[3],"text":[4,14,107],"recognition":[5],"to":[6,103],"historical":[7],"works":[8,50],"is":[9,40,89],"highly":[10],"dependant":[11],"on":[12,72,97],"accurate":[13],"line":[15,108],"retrieval.":[16],"A":[17,69],"number":[18],"systems":[20],"utilizing":[21],"a":[22,56,94,98],"robust":[23],"baseline":[24],"detection":[25],"paradigm":[26],"have":[27],"emerged":[28],"recently":[29],"but":[30],"the":[31,44,73],"advancement":[32],"layout":[34,83],"analysis":[35,84],"methods":[36],"for":[37,82],"challenging":[38],"scripts":[39],"held":[41],"back":[42],"by":[43,77],"lack":[45],"well-established":[47],"datasets":[48],"including":[49],"in":[51,79],"non-Latin":[52],"scripts.":[53],"We":[54],"present":[55],"dataset":[57],"400":[59],"annotated":[60],"document":[61],"images":[62,109],"from":[63,110],"different":[64],"domains":[65],"and":[66,85],"time":[67],"periods.":[68],"short":[70],"elaboration":[71],"particular":[74],"challenges":[75],"posed":[76],"handwriting":[78],"Arabic":[80],"script":[81],"subsequent":[86],"processing":[87],"steps":[88],"given.":[90],"Lastly,":[91],"we":[92],"propose":[93],"method":[95],"based":[96],"fully":[99],"convolutional":[100],"encoder-decoder":[101],"network":[102],"extract":[104],"arbitrarily":[105],"shaped":[106],"manuscripts.":[111]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2019-10-25T00:00:00"}