{"id":"https://openalex.org/W2093100897","doi":"https://doi.org/10.1145/1815330.1815348","title":"Handwritten Arabic text line segmentation using affinity propagation","display_name":"Handwritten Arabic text line segmentation using affinity propagation","publication_year":2010,"publication_date":"2010-06-09","ids":{"openalex":"https://openalex.org/W2093100897","doi":"https://doi.org/10.1145/1815330.1815348","mag":"2093100897"},"language":"en","primary_location":{"id":"doi:10.1145/1815330.1815348","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1815330.1815348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th IAPR International Workshop on Document Analysis Systems","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/A5103345623","display_name":"Jayant Kumar","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":"Jayant Kumar","raw_affiliation_strings":["University of Maryland, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028776484","display_name":"Wael AbdAlmageed","orcid":"https://orcid.org/0000-0002-8320-8530"},"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":"Wael Abd-Almageed","raw_affiliation_strings":["University of Maryland, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028502240","display_name":"Le Kang","orcid":"https://orcid.org/0000-0001-8484-8794"},"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":"Le Kang","raw_affiliation_strings":["University of Maryland, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003875781","display_name":"David Doermann","orcid":"https://orcid.org/0000-0003-1639-4561"},"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":"David Doermann","raw_affiliation_strings":["University of Maryland, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, MD","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":4.895,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.96778424,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"142"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9915000200271606,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7032157778739929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6443818211555481},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6076592803001404},{"id":"https://openalex.org/keywords/connected-component","display_name":"Connected component","score":0.607647716999054},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5920358300209045},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5531767010688782},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.518049955368042},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5156635046005249},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.48947465419769287},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.4306240677833557},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4109935760498047},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20366129279136658},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11008140444755554}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7032157778739929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6443818211555481},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6076592803001404},{"id":"https://openalex.org/C193435613","wikidata":"https://www.wikidata.org/wiki/Q2997928","display_name":"Connected component","level":2,"score":0.607647716999054},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5920358300209045},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5531767010688782},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.518049955368042},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5156635046005249},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.48947465419769287},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.4306240677833557},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4109935760498047},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20366129279136658},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11008140444755554},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1815330.1815348","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1815330.1815348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th IAPR International Workshop on Document Analysis Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5099999904632568,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1455445477","display_name":null,"funder_award_id":"IIS-0812111","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"},{"id":"https://openalex.org/G8163709735","display_name":null,"funder_award_id":"HR0011-08-C-0004 under subcontract 9500009235","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W175300340","https://openalex.org/W1550936874","https://openalex.org/W1983275987","https://openalex.org/W1991119929","https://openalex.org/W1996759799","https://openalex.org/W2012442176","https://openalex.org/W2036856086","https://openalex.org/W2060746081","https://openalex.org/W2061778266","https://openalex.org/W2068158638","https://openalex.org/W2119723957","https://openalex.org/W2120453719","https://openalex.org/W2137629015","https://openalex.org/W2138156631","https://openalex.org/W2142069714","https://openalex.org/W2145301499","https://openalex.org/W2160724638","https://openalex.org/W2161833674","https://openalex.org/W2161977046","https://openalex.org/W2165232124","https://openalex.org/W3152497808","https://openalex.org/W3185458812","https://openalex.org/W4285719527","https://openalex.org/W6677886455"],"related_works":["https://openalex.org/W4249048193","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W3000360420","https://openalex.org/W2171299904","https://openalex.org/W1931440630","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W1522196789","https://openalex.org/W744483630"],"abstract_inverted_index":{"In":[0,98],"this":[1,81],"paper,":[2],"we":[3,83,102],"present":[4,126,153],"a":[5,49,63,70,136,144,154],"novel":[6],"graph-based":[7],"method":[8,112,134],"for":[9],"extracting":[10],"handwritten":[11,128],"text":[12,27,86,108,129,166],"lines":[13,87,167],"in":[14,127],"monochromatic":[15],"Arabic":[16,148],"document":[17,149],"images.":[18,150],"Our":[19],"approach":[20],"consists":[21],"of":[22,39,146,172],"two":[23,89],"steps":[24],"-":[25],"Coarse":[26],"line":[28,36],"estimation":[29],"using":[30,88,135],"primary":[31,59],"components":[32,41,105],"which":[33,42],"define":[34],"the":[35,99,163,170],"and":[37,95,116,121,139],"assignment":[38],"diacritic":[40],"are":[43],"more":[44],"difficult":[45],"to":[46,61,74,106,118,168],"associate":[47],"with":[48],"given":[50],"line.":[51,109],"We":[52,67,131,151],"first":[53],"estimate":[54],"local":[55],"orientation":[56],"at":[57],"each":[58,107],"component":[60],"build":[62],"sparse":[64],"similarity":[65],"graph.":[66],"then,":[68],"use":[69],"shortest":[71],"path":[72],"algorithm":[73],"compute":[75],"similarities":[76],"between":[77,165],"non-neighboring":[78],"components.":[79],"From":[80],"graph,":[82],"obtain":[84],"coarse":[85],"estimates":[90],"obtained":[91],"from":[92],"Affinity":[93],"propagation":[94],"Breadth-first":[96],"search.":[97],"second":[100],"step,":[101],"assign":[103],"secondary":[104],"The":[110],"proposed":[111],"is":[113],"very":[114],"fast":[115],"robust":[117],"non-uniform":[119],"skew":[120],"character":[122],"size":[123],"variations,":[124],"normally":[125],"lines.":[130],"evaluate":[132],"our":[133,173],"pixel-matching":[137],"criteria,":[138],"report":[140],"96%":[141],"accuracy":[142],"on":[143,157],"dataset":[145],"125":[147],"also":[152],"proximity":[155],"analysis":[156],"datasets":[158],"generated":[159],"by":[160],"artificially":[161],"decreasing":[162],"spacings":[164],"demonstrate":[169],"robustness":[171],"approach.":[174]},"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":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}