{"id":"https://openalex.org/W2094068374","doi":"https://doi.org/10.1109/dicta.2012.6411736","title":"An Optimal Approach Towards Recognizing Broken Thai Characters in OCR Systems","display_name":"An Optimal Approach Towards Recognizing Broken Thai Characters in OCR Systems","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2094068374","doi":"https://doi.org/10.1109/dicta.2012.6411736","mag":"2094068374"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2012.6411736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2012.6411736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)","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/A5067333736","display_name":"Chaivatna Sumetphong","orcid":null},"institutions":[{"id":"https://openalex.org/I25399158","display_name":"Mahidol University","ror":"https://ror.org/01znkr924","country_code":"TH","type":"education","lineage":["https://openalex.org/I25399158"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Chaivatna Sumetphong","raw_affiliation_strings":["Faculty of Information and Communication Technology, Mahidol University, Bangkok, Thailand","Fac. of Inf. & Commun. Technol., Mahidol Univ., Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Faculty of Information and Communication Technology, Mahidol University, Bangkok, Thailand","institution_ids":["https://openalex.org/I25399158"]},{"raw_affiliation_string":"Fac. of Inf. & Commun. Technol., Mahidol Univ., Bangkok, Thailand","institution_ids":["https://openalex.org/I25399158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066276856","display_name":"Supachai Tangwongsan","orcid":null},"institutions":[{"id":"https://openalex.org/I25399158","display_name":"Mahidol University","ror":"https://ror.org/01znkr924","country_code":"TH","type":"education","lineage":["https://openalex.org/I25399158"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Supachai Tangwongsan","raw_affiliation_strings":["Faculty of Information and Communication Technology, Mahidol University, Bangkok, Thailand","Fac. of Inf. & Commun. Technol., Mahidol Univ., Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Faculty of Information and Communication Technology, Mahidol University, Bangkok, Thailand","institution_ids":["https://openalex.org/I25399158"]},{"raw_affiliation_string":"Fac. of Inf. & Commun. Technol., Mahidol Univ., Bangkok, Thailand","institution_ids":["https://openalex.org/I25399158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067333736"],"corresponding_institution_ids":["https://openalex.org/I25399158"],"apc_list":null,"apc_paid":null,"fwci":1.0982,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80437382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9884999990463257,"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":0.6378951668739319},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.5353911519050598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4800533056259155},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3251320421695709},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3220154643058777},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12076374888420105}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6378951668739319},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.5353911519050598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4800533056259155},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3251320421695709},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3220154643058777},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12076374888420105}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta.2012.6411736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2012.6411736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W71929821","https://openalex.org/W1996152514","https://openalex.org/W1997313482","https://openalex.org/W2011339487","https://openalex.org/W2019999160","https://openalex.org/W2045566081","https://openalex.org/W2050764409","https://openalex.org/W2092539148","https://openalex.org/W2110025586","https://openalex.org/W2115170584","https://openalex.org/W2115296920","https://openalex.org/W2119702532","https://openalex.org/W2125034313","https://openalex.org/W2134102553","https://openalex.org/W2154646934","https://openalex.org/W2167011514","https://openalex.org/W2167283987","https://openalex.org/W2539993145","https://openalex.org/W4242234918","https://openalex.org/W6602956623","https://openalex.org/W6673410513","https://openalex.org/W6677646624"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,21,41,90,95,106],"novel":[4],"technique":[5,26,101],"for":[6,28,54],"recognizing":[7],"broken":[8],"Thai":[9,14,43,86,96,107,113],"characters":[10],"found":[11],"in":[12],"degraded":[13],"text":[15],"documents":[16],"by":[17,36],"modeling":[18],"it":[19],"as":[20],"set-partitioning":[22],"problem":[23],"(SPP).":[24],"The":[25,99],"searches":[27],"the":[29,33,46,50,81],"optimal":[30,55],"set-partition":[31],"of":[32,49],"connected":[34],"components":[35],"which":[37],"each":[38],"subset":[39],"yields":[40],"reconstructed":[42],"character.":[44],"Given":[45],"non-linear":[47],"nature":[48],"objective":[51],"function":[52],"needed":[53],"set-partitioning,":[56],"we":[57,61,88],"design":[58],"an":[59,74],"algorithm":[60],"call":[62],"Heuristic":[63],"Incremental":[64],"Integer":[65],"Programming":[66],"(HIIP),":[67],"that":[68],"employs":[69],"integer":[70],"programming":[71],"(IP)":[72],"with":[73,116],"incremental":[75],"approach":[76,93],"using":[77],"heuristics":[78],"to":[79,105],"hasten":[80],"convergence.":[82],"To":[83],"generate":[84],"corrected":[85],"words,":[87],"adopt":[89],"probabilistic":[91],"generative":[92],"based":[94],"dictionary":[97],"corpus.":[98],"proposed":[100],"is":[102],"applied":[103],"successfully":[104],"historical":[108],"document":[109,115],"and":[110],"poor":[111],"quality":[112],"fax":[114],"promising":[117],"accuracy":[118],"rates":[119],"over":[120],"93%.":[121]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}