{"id":"https://openalex.org/W2047837124","doi":"https://doi.org/10.1145/2037342.2037362","title":"Text line segmentation for gray scale historical document images","display_name":"Text line segmentation for gray scale historical document images","publication_year":2011,"publication_date":"2011-09-16","ids":{"openalex":"https://openalex.org/W2047837124","doi":"https://doi.org/10.1145/2037342.2037362","mag":"2047837124"},"language":"en","primary_location":{"id":"doi:10.1145/2037342.2037362","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2037342.2037362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 Workshop on Historical Document Imaging and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/A5017664706","display_name":"Abedelkadir Asi","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Abedelkadir Asi","raw_affiliation_strings":["Ben-Gurion University of the Negev, Beer Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"Ben-Gurion University of the Negev, Beer Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001041047","display_name":"Raid Saabni","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144770","display_name":"Triangle Research and Development Center","ror":"https://ror.org/041jx2z70","country_code":"IL","type":"facility","lineage":["https://openalex.org/I4210144770"]},{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Raid Saabni","raw_affiliation_strings":["Tel-Aviv University, Tel-Aviv, Israel and TRDC, Kafr Qarea, Israel"],"affiliations":[{"raw_affiliation_string":"Tel-Aviv University, Tel-Aviv, Israel and TRDC, Kafr Qarea, Israel","institution_ids":["https://openalex.org/I4210144770","https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038998698","display_name":"Jihad El\u2010Sana","orcid":"https://orcid.org/0000-0002-1164-7040"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Jihad El-Sana","raw_affiliation_strings":["Ben-Gurion University of the Negev, Beer Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"Ben-Gurion University of the Negev, Beer Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017664706"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":null,"apc_paid":null,"fwci":2.6137,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.9155879,"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":"120","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9969000220298767,"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":0.9954000115394592,"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/segmentation","display_name":"Segmentation","score":0.6961925625801086},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6743022799491882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6381148099899292},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.5955961346626282},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5940325260162354},{"id":"https://openalex.org/keywords/medial-axis","display_name":"Medial axis","score":0.5736585855484009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5447438955307007},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.530011773109436},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.49714091420173645},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4849581718444824},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48047390580177307},{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.4608658254146576},{"id":"https://openalex.org/keywords/distance-transform","display_name":"Distance transform","score":0.4540369212627411},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.4320830702781677},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42017483711242676},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26521366834640503},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18342772126197815},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.17393538355827332},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13806134462356567},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1273864209651947}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6961925625801086},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6743022799491882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6381148099899292},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.5955961346626282},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5940325260162354},{"id":"https://openalex.org/C185877587","wikidata":"https://www.wikidata.org/wiki/Q1757407","display_name":"Medial axis","level":2,"score":0.5736585855484009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5447438955307007},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.530011773109436},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.49714091420173645},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4849581718444824},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48047390580177307},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.4608658254146576},{"id":"https://openalex.org/C73621898","wikidata":"https://www.wikidata.org/wiki/Q2940504","display_name":"Distance transform","level":3,"score":0.4540369212627411},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.4320830702781677},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42017483711242676},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26521366834640503},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18342772126197815},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17393538355827332},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13806134462356567},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1273864209651947},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2037342.2037362","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2037342.2037362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 Workshop on Historical Document Imaging and Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.361.7809","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.361.7809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bgu.ac.il/~dinitz/Course/SS-12/GrayLineExtraction.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G4606782266","display_name":null,"funder_award_id":"8716","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8486631416","display_name":null,"funder_award_id":"1266/09","funder_id":"https://openalex.org/F4320322252","funder_display_name":"Israel Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320322252","display_name":"Israel Science Foundation","ror":"https://ror.org/04sazxf24"},{"id":"https://openalex.org/F4320323051","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W30902120","https://openalex.org/W193256255","https://openalex.org/W1982691792","https://openalex.org/W1982907973","https://openalex.org/W2001908502","https://openalex.org/W2002825326","https://openalex.org/W2015432638","https://openalex.org/W2018377917","https://openalex.org/W2038481242","https://openalex.org/W2055408294","https://openalex.org/W2101995674","https://openalex.org/W2109993328","https://openalex.org/W2110224595","https://openalex.org/W2112692009","https://openalex.org/W2119702532","https://openalex.org/W2124507288","https://openalex.org/W2131132193","https://openalex.org/W2135164809","https://openalex.org/W2137369573","https://openalex.org/W2137975285","https://openalex.org/W2148645152","https://openalex.org/W2151477212","https://openalex.org/W2153164716","https://openalex.org/W2155864424","https://openalex.org/W2156301828","https://openalex.org/W2158284624","https://openalex.org/W2161833674","https://openalex.org/W2163237111","https://openalex.org/W2163288728","https://openalex.org/W2167929403","https://openalex.org/W2170192492","https://openalex.org/W2181527342","https://openalex.org/W2751659465","https://openalex.org/W3098821875","https://openalex.org/W3137241515","https://openalex.org/W4365399336","https://openalex.org/W6679569432","https://openalex.org/W6682795762","https://openalex.org/W6683079365","https://openalex.org/W6683836486"],"related_works":["https://openalex.org/W2724608728","https://openalex.org/W1985781770","https://openalex.org/W2024335283","https://openalex.org/W4376876536","https://openalex.org/W2036322673","https://openalex.org/W2123687462","https://openalex.org/W2094193800","https://openalex.org/W2156994097","https://openalex.org/W2112271857","https://openalex.org/W1770622929"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"a":[5,47,57,61,65,77],"new":[6],"approach":[7],"for":[8],"text":[9,54,58,78,92],"line":[10,59,79],"segmentation":[11],"that":[12,51,67],"works":[13],"directly":[14,24],"on":[15,25,108,119],"gray-scale":[16,27],"document":[17],"images.":[18],"Our":[19],"algorithm":[20],"constructs":[21],"distance":[22,111],"transform":[23],"the":[26,53,81,85,91,109],"images,":[28],"which":[29,104],"is":[30,46,64],"used":[31],"to":[32,101],"compute":[33],"two":[34,70],"types":[35],"of":[36,49,56,90],"seams:":[37],"medial":[38,44,74,95],"seams":[39,83,98],"and":[40,60,80,87,96,122],"separating":[41,62,82,97],"seams.":[42],"A":[43],"seam":[45,63,75],"chain":[48],"pixels":[50],"crosses":[52],"area":[55],"path":[66],"passes":[68],"between":[69],"consecutive":[71],"rows.":[72],"The":[73,94],"determines":[76],"define":[84],"upper":[86],"lower":[88],"boundaries":[89],"line.":[93],"propagate":[99],"according":[100],"energy":[102],"maps,":[103],"are":[105],"defined":[106],"based":[107],"constructed":[110],"transform.":[112],"We":[113],"have":[114],"performed":[115],"various":[116],"experimental":[117],"results":[118],"different":[120],"datasets":[121],"received":[123],"encouraging":[124],"results.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
