{"id":"https://openalex.org/W1967372293","doi":"https://doi.org/10.1109/icsai.2014.7009397","title":"Table frame line detection in low quality document images based on Hough transform","display_name":"Table frame line detection in low quality document images based on Hough transform","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W1967372293","doi":"https://doi.org/10.1109/icsai.2014.7009397","mag":"1967372293"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2014.7009397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2014.7009397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014)","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/A5102713976","display_name":"Yangyang Tian","orcid":"https://orcid.org/0000-0002-9015-397X"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangyang Tian","raw_affiliation_strings":["Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021881939","display_name":"Chenqiang Gao","orcid":"https://orcid.org/0000-0003-4174-4148"},"institutions":[{"id":"https://openalex.org/I4391767988","display_name":"State Key Laboratory of Digital Publishing Technology","ror":"https://ror.org/021s6g098","country_code":null,"type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I4391767988"]},{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenqiang Gao","raw_affiliation_strings":["Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing, China","State Key Laboratory of Digital Publishing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"State Key Laboratory of Digital Publishing Technology, Beijing, China","institution_ids":["https://openalex.org/I4391767988"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100668774","display_name":"Xiaoming Huang","orcid":"https://orcid.org/0000-0003-4254-2820"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]},{"id":"https://openalex.org/I4391767988","display_name":"State Key Laboratory of Digital Publishing Technology","ror":"https://ror.org/021s6g098","country_code":null,"type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I4391767988"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Huang","raw_affiliation_strings":["Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing, China","State Key Laboratory of Digital Publishing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"State Key Laboratory of Digital Publishing Technology, Beijing, China","institution_ids":["https://openalex.org/I4391767988"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102713976"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":0.4877,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66680085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"818","last_page":"822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9990000128746033,"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":0.9955000281333923,"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/hough-transform","display_name":"Hough transform","score":0.8998626470565796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7227259874343872},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.7041594982147217},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6539802551269531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.639132022857666},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6047067046165466},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5793309211730957},{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.5434080362319946},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5059263110160828},{"id":"https://openalex.org/keywords/lookup-table","display_name":"Lookup table","score":0.47135061025619507},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4251289963722229},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37698638439178467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24651086330413818},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1449359655380249}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.8998626470565796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7227259874343872},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.7041594982147217},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6539802551269531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.639132022857666},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6047067046165466},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5793309211730957},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.5434080362319946},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5059263110160828},{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.47135061025619507},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4251289963722229},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37698638439178467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24651086330413818},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1449359655380249},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai.2014.7009397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2014.7009397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1520959026","https://openalex.org/W1997689135","https://openalex.org/W2046941907","https://openalex.org/W2055079758","https://openalex.org/W2092772700","https://openalex.org/W2106255337","https://openalex.org/W2110148866","https://openalex.org/W2117462434","https://openalex.org/W2126667706","https://openalex.org/W2136379584","https://openalex.org/W2150673968","https://openalex.org/W2168459394","https://openalex.org/W6676454619"],"related_works":["https://openalex.org/W2030098947","https://openalex.org/W1974777989","https://openalex.org/W2003466055","https://openalex.org/W2363834444","https://openalex.org/W2070077862","https://openalex.org/W2354863620","https://openalex.org/W2891733042","https://openalex.org/W4285771710","https://openalex.org/W4309876063","https://openalex.org/W4366818668"],"abstract_inverted_index":{"Table":[0],"detection":[1,35],"is":[2,67,85],"of":[3,8,72,109],"importance":[4],"in":[5,36,59,130],"the":[6,31,89,110,131,138],"field":[7],"document":[9,62,73,134],"images":[10,29,39,74,135],"analysis":[11],"and":[12,75,105],"processing,":[13],"especially":[14],"table":[15,34,55,99,103],"frame":[16,56,107],"line":[17,57],"detection.":[18],"Although":[19],"a":[20,42,50,93,126],"great":[21],"success":[22],"has":[23],"been":[24],"achieved":[25],"for":[26],"high":[27],"quality":[28,38,61,133],"during":[30],"past":[32],"decade,":[33],"low":[37,60,132],"still":[40],"remains":[41],"challenge.":[43],"To":[44],"address":[45],"this":[46,122],"problem,":[47],"we":[48,97],"proposed":[49],"neoteric":[51],"method":[52,123],"to":[53,69,87,102,137],"detect":[54,70,106],"automatically":[58],"images.":[63],"Firstly,":[64],"Radon":[65],"transform":[66,115],"adopted":[68],"skew":[71],"then":[76],"correct":[77],"it.":[78],"Secondly,":[79],"run":[80],"length":[81],"smoothing":[82],"algorithm":[83],"(RLSA)":[84],"used":[86],"extract":[88],"lines":[90,108],"longer":[91],"than":[92],"predefined":[94],"threshold.":[95],"Thirdly,":[96],"locate":[98],"regions":[100],"according":[101],"features":[104],"detected":[111],"tables":[112],"using":[113],"Hough":[114],"method.":[116,140],"The":[117],"experimental":[118],"results":[119],"show":[120],"that":[121],"could":[124],"obtain":[125],"better":[127],"performance":[128],"even":[129],"compared":[136],"conventional":[139]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}