{"id":"https://openalex.org/W2968080842","doi":"https://doi.org/10.1145/3341069.3342991","title":"A Study on Features for Improving Performance of Chinese OCR by Machine Learning","display_name":"A Study on Features for Improving Performance of Chinese OCR by Machine Learning","publication_year":2019,"publication_date":"2019-06-22","ids":{"openalex":"https://openalex.org/W2968080842","doi":"https://doi.org/10.1145/3341069.3342991","mag":"2968080842"},"language":"en","primary_location":{"id":"doi:10.1145/3341069.3342991","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3341069.3342991","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3341069.3342991","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3341069.3342991","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100741253","display_name":"Chul Kim","orcid":"https://orcid.org/0000-0003-4360-6101"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chul Kim","raw_affiliation_strings":["George Mason University, Korea, Incheon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"George Mason University, Korea, Incheon, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113838162","display_name":"Jang Su Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jang Su Kim","raw_affiliation_strings":["Pyongyang University of Science and Technology, Pyongyang, Democratic People's Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pyongyang University of Science and Technology, Pyongyang, Democratic People's Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048366793","display_name":"U Ju Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"U Ju Kim","raw_affiliation_strings":["Pyongyang University of Science and Technology, Pyongyang, Democratic People's Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pyongyang University of Science and Technology, Pyongyang, Democratic People's Republic of Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100741253"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.43121156,"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":"51","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9764999747276306,"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":0.9764999747276306,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.953499972820282,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.932699978351593,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7368782758712769},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.4711030125617981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4602597653865814},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34007006883621216},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0936046838760376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7368782758712769},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.4711030125617981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4602597653865814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34007006883621216},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0936046838760376}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341069.3342991","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3341069.3342991","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3341069.3342991","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3341069.3342991","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3341069.3342991","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3341069.3342991","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2968080842.pdf","grobid_xml":"https://content.openalex.org/works/W2968080842.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W1903460367","https://openalex.org/W2003635330","https://openalex.org/W2107283705","https://openalex.org/W2129318848","https://openalex.org/W2774447512","https://openalex.org/W4235157178"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W3046775127","https://openalex.org/W4205958290","https://openalex.org/W3107474891","https://openalex.org/W3209574120","https://openalex.org/W3170094116"],"abstract_inverted_index":{"This":[0],"paper":[1],"discusses":[2],"a":[3,14],"method":[4],"to":[5,30],"improve":[6],"the":[7,38,86,97,100],"performance":[8],"of":[9,25,41,102],"Chinese":[10,32,48],"OCR":[11,33,49],"by":[12,70,90],"choosing":[13],"proper":[15],"feature":[16,53],"vector":[17],"and":[18,35,78,104],"synthetic":[19,75],"classification.":[20,72],"We":[21,73,83],"compare":[22],"two":[23],"groups":[24],"features":[26,42,61,76],"which":[27],"are":[28],"used":[29],"implement":[31],"System":[34],"demonstrate":[36],"that":[37,85],"first":[39],"group":[40],"is":[43,88],"more":[44],"useful":[45],"for":[46,59,63],"static":[47],"System.":[50],"By":[51],"now":[52],"extractions":[54],"have":[55,67],"been":[56,68],"done":[57,69],"either":[58],"local":[60],"or":[62],"global":[64],"features.":[65],"Classifications":[66],"single":[71],"propose":[74],"extraction":[77],"classification":[79],"in":[80,99],"this":[81],"paper.":[82],"find":[84],"result":[87,98],"improved":[89],"machine":[91],"learning":[92],"method.":[93],"Later":[94],"we":[95],"apply":[96],"area":[101],"off-":[103],"on-line":[105],"signature":[106],"verification":[107],"system.":[108]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}