{"id":"https://openalex.org/W2064734215","doi":"https://doi.org/10.4018/jdls.2011070101","title":"Efficient Word Segmentation and Baseline Localization in Handwritten Documents Using Isothetic Covers","display_name":"Efficient Word Segmentation and Baseline Localization in Handwritten Documents Using Isothetic Covers","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2064734215","doi":"https://doi.org/10.4018/jdls.2011070101","mag":"2064734215"},"language":"en","primary_location":{"id":"doi:10.4018/jdls.2011070101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jdls.2011070101","pdf_url":null,"source":{"id":"https://openalex.org/S143974849","display_name":"International Journal of Digital Library Systems","issn_l":"1947-9077","issn":["1947-9077","1947-9085"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Library Systems","raw_type":"journal-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/A5067084265","display_name":"Mousumi Dutt","orcid":"https://orcid.org/0000-0003-2401-2885"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mousumi Dutt","raw_affiliation_strings":["Bengal Engineering and Science University,\u00a0India"],"affiliations":[{"raw_affiliation_string":"Bengal Engineering and Science University,\u00a0India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022471155","display_name":"Aisharjya Sarkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aisharjya Sarkar","raw_affiliation_strings":["Bengal Engineering and Science University,\u00a0India"],"affiliations":[{"raw_affiliation_string":"Bengal Engineering and Science University,\u00a0India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000053244","display_name":"Arindam Biswas","orcid":"https://orcid.org/0000-0002-2141-0215"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arindam Biswas","raw_affiliation_strings":["Bengal Engineering and Science University,\u00a0India"],"affiliations":[{"raw_affiliation_string":"Bengal Engineering and Science University,\u00a0India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079109005","display_name":"Partha Bhowmick","orcid":"https://orcid.org/0000-0003-2765-7777"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Partha Bhowmick","raw_affiliation_strings":["Indian Institute of Technology, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067730042","display_name":"Bhargab B. Bhattacharya","orcid":"https://orcid.org/0000-0002-5890-2483"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bhargab B. Bhattacharya","raw_affiliation_strings":["Indian Statistical institute India"],"affiliations":[{"raw_affiliation_string":"Indian Statistical institute India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067084265"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.12639828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":"3","first_page":"1","last_page":"13"},"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9979000091552734,"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":0.9976000189781189,"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":0.7527431845664978},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6322515606880188},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6226491332054138},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.6183682084083557},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6178911924362183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5317610502243042},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.48420003056526184},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.46945399045944214},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.45294684171676636},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.446550577878952},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43029019236564636},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42819908261299133},{"id":"https://openalex.org/keywords/digitization","display_name":"Digitization","score":0.416897714138031},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.17463010549545288},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15619498491287231},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15393021702766418},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0937904417514801}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7527431845664978},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6322515606880188},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6226491332054138},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.6183682084083557},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6178911924362183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5317610502243042},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.48420003056526184},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.46945399045944214},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.45294684171676636},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.446550577878952},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43029019236564636},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42819908261299133},{"id":"https://openalex.org/C2779308522","wikidata":"https://www.wikidata.org/wiki/Q843958","display_name":"Digitization","level":2,"score":0.416897714138031},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.17463010549545288},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15619498491287231},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15393021702766418},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0937904417514801},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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":2,"locations":[{"id":"doi:10.4018/jdls.2011070101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jdls.2011070101","pdf_url":null,"source":{"id":"https://openalex.org/S143974849","display_name":"International Journal of Digital Library Systems","issn_l":"1947-9077","issn":["1947-9077","1947-9085"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Library Systems","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jdls00:v:2:y:2011:i:3:p:1-13","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdls.2011070101","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.699999988079071,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W266146702","https://openalex.org/W581160234","https://openalex.org/W585491742","https://openalex.org/W1559832317","https://openalex.org/W1909199407","https://openalex.org/W1979032706","https://openalex.org/W1987525689","https://openalex.org/W1999431203","https://openalex.org/W2019446722","https://openalex.org/W2024077020","https://openalex.org/W2027465414","https://openalex.org/W2048641976","https://openalex.org/W2078397375","https://openalex.org/W2078546077","https://openalex.org/W2089685945","https://openalex.org/W2096301085","https://openalex.org/W2106471458","https://openalex.org/W2123112585","https://openalex.org/W2123621455","https://openalex.org/W2124475023","https://openalex.org/W2128906168","https://openalex.org/W2130851192","https://openalex.org/W2132032936","https://openalex.org/W2133059825","https://openalex.org/W2138270545","https://openalex.org/W2145546391","https://openalex.org/W2149597185","https://openalex.org/W2163374925","https://openalex.org/W3149336535","https://openalex.org/W6633357085"],"related_works":["https://openalex.org/W1539704186","https://openalex.org/W2136735429","https://openalex.org/W170547082","https://openalex.org/W4254109238","https://openalex.org/W2399890175","https://openalex.org/W4308177873","https://openalex.org/W3202479762","https://openalex.org/W2480493049","https://openalex.org/W2587876411","https://openalex.org/W2358332176"],"abstract_inverted_index":{"Analysis":[0],"of":[1,12,49,112,135,161],"handwritten":[2,40,58],"documents":[3],"is":[4,43,84,145],"a":[5,29,39,57,78,105,130],"challenging":[6],"task":[7],"in":[8,38,56,98,129,139],"the":[9,54,65,70,92,109,115,126,140,143],"modern":[10],"era":[11],"document":[13],"digitization.":[14],"It":[15,42],"requires":[16],"efficient":[17],"preprocessing":[18],"which":[19],"includes":[20],"word":[21,33,127],"segmentation":[22,34],"and":[23,35,133,152,164],"baseline":[24,36],"detection.":[25],"This":[26],"paper":[27],"proposes":[28],"novel":[30],"approach":[31],"toward":[32],"detection":[37],"document.":[41,59],"based":[44],"on":[45],"certain":[46],"structural":[47],"properties":[48],"isothetic":[50,66],"covers":[51,67],"tightly":[52],"enclosing":[53],"words":[55,71],"For":[60],"an":[61,87,99],"appropriate":[62],"grid":[63,82],"size,":[64],"successfully":[68],"segregate":[69],"so":[72],"that":[73,90],"each":[74],"cover":[75],"corresponds":[76],"to":[77,121,147],"particular":[79],"word.":[80],"The":[81],"size":[83],"selected":[85],"by":[86,103,156],"adaptive":[88],"technique":[89],"classifies":[91],"inter-cover":[93],"distances":[94],"into":[95],"two":[96],"classes":[97],"unsupervised":[100],"manner.":[101],"Finally,":[102],"using":[104],"geometric":[106],"heuristic":[107],"with":[108,159],"horizontal":[110],"chords":[111],"these":[113],"covers,":[114],"corresponding":[116],"baselines":[117],"are":[118],"extracted.":[119],"Owing":[120],"its":[122],"traversal":[123],"strategy":[124],"along":[125],"boundaries":[128],"combinatorial":[131],"manner":[132],"usage":[134],"limited":[136],"operations":[137],"strictly":[138],"integer":[141],"domain,":[142],"method":[144],"found":[146],"be":[148],"quite":[149],"fast,":[150],"efficient,":[151],"robust,":[153],"as":[154],"demonstrated":[155],"experimental":[157],"results":[158],"datasets":[160],"both":[162],"Bengali":[163],"English":[165],"handwritings.":[166]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}