{"id":"https://openalex.org/W2894355315","doi":"https://doi.org/10.1109/icis.2018.8466395","title":"Segmentation of Heterogeneous Documents into Homogeneous Components using Morphological Operations","display_name":"Segmentation of Heterogeneous Documents into Homogeneous Components using Morphological Operations","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2894355315","doi":"https://doi.org/10.1109/icis.2018.8466395","mag":"2894355315"},"language":"en","primary_location":{"id":"doi:10.1109/icis.2018.8466395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2018.8466395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","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/A5061204834","display_name":"Nasid Habib Barna","orcid":"https://orcid.org/0009-0007-8953-1391"},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Nasid Habib Barna","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Dhaka, Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049012590","display_name":"Tisa Islam Erana","orcid":null},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Tisa Islam Erana","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Dhaka, Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076066930","display_name":"Shabbir Ahmed","orcid":"https://orcid.org/0000-0003-0756-3239"},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Shabbir Ahmed","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Dhaka, Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081655403","display_name":"Hasnain Heickal","orcid":null},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Hasnain Heickal","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Dhaka, Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.212,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56472056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"513","last_page":"518"},"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/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"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":0.7849969267845154},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7316585183143616},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6731759309768677},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.6538861989974976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5614933371543884},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5387730002403259},{"id":"https://openalex.org/keywords/halftone","display_name":"Halftone","score":0.4874601364135742},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4607904851436615},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4540877342224121},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.42600977420806885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3908175230026245},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3770354390144348},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32029497623443604},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3058619499206543},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1935427486896515},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08934766054153442}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7849969267845154},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7316585183143616},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6731759309768677},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.6538861989974976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5614933371543884},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5387730002403259},{"id":"https://openalex.org/C2777635815","wikidata":"https://www.wikidata.org/wiki/Q1110021","display_name":"Halftone","level":3,"score":0.4874601364135742},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4607904851436615},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4540877342224121},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.42600977420806885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3908175230026245},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3770354390144348},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32029497623443604},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3058619499206543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1935427486896515},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08934766054153442},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icis.2018.8466395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2018.8466395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.44999998807907104,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1803442612","https://openalex.org/W2046941907","https://openalex.org/W2063541573","https://openalex.org/W2085361026","https://openalex.org/W2094549658","https://openalex.org/W2164743563","https://openalex.org/W2184798753","https://openalex.org/W2533973874","https://openalex.org/W6638364139","https://openalex.org/W6686510215"],"related_works":["https://openalex.org/W4251316475","https://openalex.org/W387710534","https://openalex.org/W608034372","https://openalex.org/W2049375232","https://openalex.org/W4378219109","https://openalex.org/W2383705254","https://openalex.org/W4378446391","https://openalex.org/W2381832910","https://openalex.org/W1990318175","https://openalex.org/W2403754046"],"abstract_inverted_index":{"The":[0,123,146],"research":[1],"on":[2],"document":[3,39,47,65,108],"layout":[4],"analysis":[5],"has":[6],"been":[7],"widespread":[8],"over":[9],"a":[10,37,44,173],"large":[11],"arena":[12],"recently":[13],"and":[14,53,56,87,110,158,169,180],"is":[15,25,144],"craving":[16],"for":[17],"more":[18],"efficiency":[19],"day":[20],"by":[21],"day.":[22],"Document":[23],"segmentation":[24,40,88,99,138],"an":[26,63,103,112,163],"important":[27],"preprocessing":[28],"step":[29],"before":[30],"analyzing":[31],"the":[32,96,130,134],"layouts.":[33],"This":[34],"paper":[35,147],"presents":[36],"language-independent":[38],"system":[41,100],"that":[42],"segments":[43,118],"heterogeneous":[45,107],"printed":[46],"into":[48],"homogeneous":[49,67,117],"components":[50,68],"like":[51],"halftones":[52],"graphics,":[54],"texts":[55,181],"tables":[57,86],"including":[58],"its":[59],"individual":[60],"cells.":[61],"From":[62],"input":[64,104],"page":[66,98,109],"are":[69],"segmented":[70],"in":[71],"three":[72,75],"steps":[73],"with":[74,114,119],"separate":[76],"modules,":[77],"which":[78,101],"are-":[79],"extraction":[80,84],"of":[81,85,89,106,136,166,176],"halftone":[82],"images,":[83],"text":[90],"blocks.":[91],"These":[92],"modules":[93,124],"altogether":[94],"build":[95],"whole":[97],"takes":[102],"image":[105,137,179],"produces":[111],"output":[113],"explicitly":[115],"indicated":[116],"colored":[120],"bounding":[121],"boxes.":[122],"use":[125],"morphological":[126],"operations":[127],"to":[128],"detect":[129],"components.":[131],"To":[132],"improve":[133],"performance":[135],"Residual":[139],"Image":[140],"Fragments":[141],"Retrieval":[142],"(RIFR)":[143],"proposed.":[145],"also":[148],"proposes":[149],"Text":[150],"Extraction":[151],"from":[152],"Table":[153,168],"Cells":[154],"(TETC).":[155],"Combining":[156],"RIFR":[157],"TETC":[159],"together":[160],"we":[161],"get":[162],"overall":[164],"accuracy":[165,175],"93%.":[167],"cell":[170],"detection":[171],"have":[172,182],"higher":[174],"96%":[177],"whereas":[178],"around":[183],"90%":[184],"accuracy.":[185]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}