{"id":"https://openalex.org/W2002405902","doi":"https://doi.org/10.1109/icdim.2011.6093371","title":"Converting Myanmar printed document image into machine understandable text format","display_name":"Converting Myanmar printed document image into machine understandable text format","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2002405902","doi":"https://doi.org/10.1109/icdim.2011.6093371","mag":"2002405902"},"language":"en","primary_location":{"id":"doi:10.1109/icdim.2011.6093371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2011.6093371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Sixth International Conference on Digital Information Management","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/A5058066099","display_name":"Htwe Pa Pa Win","orcid":null},"institutions":[{"id":"https://openalex.org/I80293557","display_name":"University of Computer Studies Yangon","ror":"https://ror.org/019ad8130","country_code":"MM","type":"education","lineage":["https://openalex.org/I80293557"]}],"countries":["MM"],"is_corresponding":true,"raw_author_name":"Htwe Pa Pa Win","raw_affiliation_strings":["University of Computer Studies, Yangon, Myanmar","University of Computer studies, Yangon, Myanmar"],"affiliations":[{"raw_affiliation_string":"University of Computer Studies, Yangon, Myanmar","institution_ids":["https://openalex.org/I80293557"]},{"raw_affiliation_string":"University of Computer studies, Yangon, Myanmar","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035464770","display_name":"Phyo Thu Thu Khine","orcid":null},"institutions":[{"id":"https://openalex.org/I80293557","display_name":"University of Computer Studies Yangon","ror":"https://ror.org/019ad8130","country_code":"MM","type":"education","lineage":["https://openalex.org/I80293557"]}],"countries":["MM"],"is_corresponding":false,"raw_author_name":"Phyo Thu Thu Khine","raw_affiliation_strings":["University of Computer Studies, Yangon, Myanmar","University of Computer studies, Yangon, Myanmar"],"affiliations":[{"raw_affiliation_string":"University of Computer Studies, Yangon, Myanmar","institution_ids":["https://openalex.org/I80293557"]},{"raw_affiliation_string":"University of Computer studies, Yangon, Myanmar","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021527339","display_name":"Khin Nwe Ni Tun","orcid":null},"institutions":[{"id":"https://openalex.org/I80293557","display_name":"University of Computer Studies Yangon","ror":"https://ror.org/019ad8130","country_code":"MM","type":"education","lineage":["https://openalex.org/I80293557"]}],"countries":["MM"],"is_corresponding":false,"raw_author_name":"Khin Nwe Ni Tun","raw_affiliation_strings":["University of Computer Studies, Yangon, Myanmar","University of Computer studies, Yangon, Myanmar"],"affiliations":[{"raw_affiliation_string":"University of Computer Studies, Yangon, Myanmar","institution_ids":["https://openalex.org/I80293557"]},{"raw_affiliation_string":"University of Computer studies, Yangon, Myanmar","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058066099"],"corresponding_institution_ids":["https://openalex.org/I80293557"],"apc_list":null,"apc_paid":null,"fwci":0.2576,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.55490952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"96","last_page":"101"},"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":0.9972000122070312,"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":0.9836999773979187,"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":0.8176913261413574},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.7675497531890869},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.7233737707138062},{"id":"https://openalex.org/keywords/document-layout-analysis","display_name":"Document layout analysis","score":0.7091206312179565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6120080947875977},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5614475011825562},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.48893943428993225},{"id":"https://openalex.org/keywords/document-processing","display_name":"Document processing","score":0.4678545594215393},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46080565452575684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4600294828414917},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43673068284988403},{"id":"https://openalex.org/keywords/document-image-processing","display_name":"Document image processing","score":0.43167707324028015},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4185490608215332},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.41709455847740173},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39499014616012573},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39495551586151123},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3360726833343506}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8176913261413574},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.7675497531890869},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.7233737707138062},{"id":"https://openalex.org/C72773152","wikidata":"https://www.wikidata.org/wiki/Q5287629","display_name":"Document layout analysis","level":3,"score":0.7091206312179565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6120080947875977},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5614475011825562},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.48893943428993225},{"id":"https://openalex.org/C67905146","wikidata":"https://www.wikidata.org/wiki/Q5287646","display_name":"Document processing","level":2,"score":0.4678545594215393},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46080565452575684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4600294828414917},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43673068284988403},{"id":"https://openalex.org/C2988504005","wikidata":"https://www.wikidata.org/wiki/Q379942","display_name":"Document image processing","level":4,"score":0.43167707324028015},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4185490608215332},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.41709455847740173},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39499014616012573},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39495551586151123},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3360726833343506},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdim.2011.6093371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2011.6093371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Sixth International Conference on Digital Information Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6499999761581421,"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/W1589066315","https://openalex.org/W1914340875","https://openalex.org/W1924623951","https://openalex.org/W1985393501","https://openalex.org/W2063990196","https://openalex.org/W2084610474","https://openalex.org/W2097068046","https://openalex.org/W2100193719","https://openalex.org/W2109943925","https://openalex.org/W2115972950","https://openalex.org/W2154045346","https://openalex.org/W2154899272","https://openalex.org/W2158030311","https://openalex.org/W2188599188","https://openalex.org/W2189495545","https://openalex.org/W2291729050","https://openalex.org/W2307384519","https://openalex.org/W2504476312","https://openalex.org/W2515744184","https://openalex.org/W2539384509","https://openalex.org/W3144864501","https://openalex.org/W4285719527","https://openalex.org/W6635249025","https://openalex.org/W6640209863","https://openalex.org/W6640392262","https://openalex.org/W6696759380","https://openalex.org/W6697805586","https://openalex.org/W6724979563","https://openalex.org/W6726394270","https://openalex.org/W6792443010"],"related_works":["https://openalex.org/W2016860631","https://openalex.org/W2131730163","https://openalex.org/W2573990671","https://openalex.org/W2096747878","https://openalex.org/W3090423411","https://openalex.org/W2000372441","https://openalex.org/W182542749","https://openalex.org/W2268591602","https://openalex.org/W2244000356","https://openalex.org/W4297207721"],"abstract_inverted_index":{"The":[0,28,99,136],"large":[1],"amount":[2],"of":[3,30,101,118,132,144,153],"Myanmar":[4,38,57,69,120,145],"document":[5,21,47],"images":[6],"are":[7,92,105,138],"getting":[8],"archived":[9],"by":[10,82],"the":[11,31,77,90,102,115,119,133,151,154],"Digital":[12],"Libraries,":[13],"an":[14,53],"efficient":[15],"strategy":[16],"is":[17,80,125],"needed":[18],"to":[19,72,113],"convert":[20,68],"image":[22,79],"into":[23],"machine":[24,73],"understandable":[25,74],"text":[26,71],"format.":[27],"state":[29],"art":[32],"OCR":[33,54],"systems":[34],"can't":[35],"do":[36],"for":[37,46,56,127,130],"scripts":[39],"as":[40],"our":[41],"language":[42],"pose":[43],"many":[44],"challenges":[45],"understanding.":[48],"Therefore,":[49],"this":[50],"paper":[51],"plans":[52],"system":[55],"Printed":[58],"Document":[59],"(OCRMPD)":[60],"with":[61,94,107],"several":[62],"proposed":[63,155],"methods":[64],"that":[65],"can":[66],"automatically":[67],"printed":[70,146],"text.":[75],"Firstly,":[76],"input":[78],"enhanced":[81],"making":[83],"some":[84],"correction":[85],"on":[86,141],"noise":[87],"variants.":[88],"Then,":[89],"characters":[91,104],"segmented":[93],"a":[95,108,142],"novel":[96],"segmentation":[97],"method.":[98],"features":[100],"isolated":[103],"extracted":[106],"hybrid":[109],"feature":[110],"extraction":[111],"method":[112],"overcome":[114],"similarity":[116],"problems":[117],"scripts.":[121],"Finally,":[122],"hierarchical":[123],"mechanism":[124],"used":[126],"SVM":[128],"classifier":[129],"recognition":[131],"character":[134],"image.":[135],"experiments":[137],"carried":[139],"out":[140],"variety":[143],"documents":[147],"and":[148],"results":[149],"show":[150],"efficiency":[152],"algorithms.":[156]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}