{"id":"https://openalex.org/W291541533","doi":null,"title":"The Geometric Layout Analysis of the Document Image Using Connected Components Method and Median Filter","display_name":"The Geometric Layout Analysis of the Document Image Using Connected Components Method and Median Filter","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W291541533","mag":"291541533"},"language":"en","primary_location":{"id":"mag:2202828155","doi":null,"is_oa":false,"landing_page_url":"http://dspace.kci.go.kr/handle/kci/1756040","pdf_url":null,"source":{"id":"https://openalex.org/S4306496539","display_name":"\ud55c\uad6d\ud1b5\uc2e0\ud559\ud68c\ub17c\ubb38\uc9c0","issn_l":"1226-4717","issn":["1226-4717","2287-3880"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["kci-registered"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"\ud55c\uad6d\ud1b5\uc2e0\ud559\ud68c\ub17c\ubb38\uc9c0","raw_type":null},"parent_works":[],"lineage":["https://openalex.org/W291541533"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":[],"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/A5066535998","display_name":"Dae-Geun Jang","orcid":"https://orcid.org/0000-0002-8393-2836","observed_orcids":["https://orcid.org/0000-0002-8393-2836"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\uc7a5\ub300\uadfc","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5091760425","display_name":"Chan-Sik Hwang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\ud669\ucc2c\uc2dd","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"805","last_page":"813"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.0,"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/T12734","display_name":"Information Systems and Technology Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/connected-components","display_name":"connected components","score":0.8429999947547913},{"id":"https://openalex.org/keywords/region-based-segmentation","display_name":"region-based segmentation","score":0.6660000085830688},{"id":"https://openalex.org/keywords/document-image-binarization","display_name":"document image binarization","score":0.5979999899864197},{"id":"https://openalex.org/keywords/document-digitization","display_name":"document digitization","score":0.4259999990463257}],"concepts":[{"id":"https://openalex.org/C72773152","wikidata":"https://www.wikidata.org/wiki/Q5287629","display_name":"Document layout analysis","level":3,"score":0.8344447612762451},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6671082973480225},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.637830376625061},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6331210136413574},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5783981680870056},{"id":"https://openalex.org/C2778371909","wikidata":"https://www.wikidata.org/wiki/Q3771738","display_name":"Historical document","level":2,"score":0.5555868744850159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.516056478023529},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.513391375541687},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5110048055648804},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.45890066027641296},{"id":"https://openalex.org/C188985296","wikidata":"https://www.wikidata.org/wiki/Q868954","display_name":"Page layout","level":2,"score":0.41689449548721313},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40967899560928345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4093294143676758},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35439008474349976},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3340662717819214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17651253938674927},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10013815760612488},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"mag:2202828155","doi":null,"is_oa":false,"landing_page_url":"http://dspace.kci.go.kr/handle/kci/1756040","pdf_url":null,"source":{"id":"https://openalex.org/S4306496539","display_name":"\ud55c\uad6d\ud1b5\uc2e0\ud559\ud68c\ub17c\ubb38\uc9c0","issn_l":"1226-4717","issn":["1226-4717","2287-3880"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["kci-registered"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"\ud55c\uad6d\ud1b5\uc2e0\ud559\ud68c\ub17c\ubb38\uc9c0","raw_type":null},{"id":"mag:291541533","doi":null,"is_oa":false,"landing_page_url":"https://www.koreascience.kr/article/JAKO200215875826230.page","pdf_url":null,"source":{"id":"https://openalex.org/S4306496539","display_name":"\ud55c\uad6d\ud1b5\uc2e0\ud559\ud68c\ub17c\ubb38\uc9c0","issn_l":"1226-4717","issn":["1226-4717","2287-3880"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["kci-registered"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"The Journal of Korean Institute of Communications and Information Sciences","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W50680186","https://openalex.org/W2048495639","https://openalex.org/W2112096890","https://openalex.org/W3110844054","https://openalex.org/W2049067732","https://openalex.org/W2055729280","https://openalex.org/W1550936874","https://openalex.org/W7099296407","https://openalex.org/W2786527349","https://openalex.org/W2120233736"],"abstract_inverted_index":{"Document":[0],"image":[1],"should":[2],"be":[3,23],"classified":[4],"into":[5,26,101],"detailed":[6,102],"regions":[7,103],"as":[8],"text,":[9],"picture,":[10],"table":[11,85,144],"and":[12,35,40,77,79,91,120,131,154],"etc":[13],"through":[14],"the":[15,32,38,46,54,58,66,74,80,84,88,99,140,143,151],"geometric":[16,55],"layout":[17,34,56,112],"analysis":[18],"if":[19,110],"paper":[20],"documents":[21],"can":[22,97],"converted":[24],"automatically":[25],"electronic":[27],"documents.":[28],"However,":[29],"complexity":[30],"of":[31,37,42,57,73],"document":[33,59,100],"variety":[36],"size":[39,130],"density":[41,132],"a":[43,70],"picture":[44],"are":[45,133,160],"reason":[47],"to":[48,52,150,165],"make":[49],"it":[50],"difficult":[51],"analyze":[53],"images.":[60],"In":[61,135],"this":[62,137],"paper,":[63],"we":[64],"propose":[65],"method":[67,96,108,116,138],"which":[68],"have":[69],"better":[71],"performance":[72],"region":[75,86],"segmentation":[76],"classifications,":[78],"line":[81],"extraction":[82],"in":[83],"than":[87],"commercial":[89],"softwares":[90],"previous":[92],"methods.":[93],"The":[94],"proposed":[95],"segment":[98],"by":[104,122],"using":[105,123],"connected":[106],"components":[107],"even":[109,157],"its":[111],"is":[113],"complex.":[114],"This":[115],"also":[117],"classifies":[118],"texts":[119,163],"pictures":[121],"separable":[124],"median":[125,148],"filter":[126,149],"even.":[127],"Though":[128],"their":[129],"diverse,":[134],"addition,":[136],"extracts":[139],"lines":[141,159],"from":[142],"adapting":[145],"one":[146],"dimensional":[147],"each":[152],"horizontal":[153],"vertical":[155],"direction,":[156],"though":[158],"deformed":[161],"or":[162],"attached":[164],"them.":[166]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}