{"id":"https://openalex.org/W2039014990","doi":"https://doi.org/10.1109/icdar.2007.4377006","title":"Integrated Segmentation and Recognition of Mixed Chinese/English Document","display_name":"Integrated Segmentation and Recognition of Mixed Chinese/English Document","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2039014990","doi":"https://doi.org/10.1109/icdar.2007.4377006","mag":"2039014990"},"language":"en","primary_location":{"id":"doi:10.1109/icdar.2007.4377006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2007.4377006","pdf_url":null,"source":{"id":"https://openalex.org/S4210215987","display_name":"Proceedings of the International Conference on Document Analysis and Recognition","issn_l":"1520-5363","issn":["1520-5363","2379-2140"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2","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/A5072032572","display_name":"Yi Xia","orcid":"https://orcid.org/0000-0001-5863-7272"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Y. Xia","raw_affiliation_strings":["Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, China","[Chinese Acad. of Sci, Beijing]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"[Chinese Acad. of Sci, Beijing]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101410361","display_name":"Baihua Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"B.-H. Xiao","raw_affiliation_strings":["Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, China","[Chinese Acad. of Sci, Beijing]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"[Chinese Acad. of Sci, Beijing]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100785431","display_name":"Chenhao Wang","orcid":"https://orcid.org/0009-0009-0612-9845"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C.-H. Wang","raw_affiliation_strings":["Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, China","[Chinese Acad. of Sci, Beijing]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"[Chinese Acad. of Sci, Beijing]","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113405195","display_name":"Ruiting Dai","orcid":"https://orcid.org/0009-0005-9944-8749"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"R.-W. Dai","raw_affiliation_strings":["Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, China","[Chinese Acad. of Sci, Beijing]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"[Chinese Acad. of Sci, Beijing]","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4496,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.51884058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"704","last_page":"708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9764000177383423,"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/T13523","display_name":"Mathematics, Computing, and Information Processing","score":0.9603999853134155,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7722463607788086},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7314832210540771},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6959516406059265},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6589192152023315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6136336326599121},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5859442949295044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5543604493141174},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5308657288551331},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48277750611305237},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4544619917869568},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4353596568107605},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4194496273994446},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3714750111103058},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.202061265707016},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11146482825279236}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7722463607788086},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7314832210540771},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6959516406059265},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6589192152023315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6136336326599121},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5859442949295044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5543604493141174},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5308657288551331},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48277750611305237},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4544619917869568},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4353596568107605},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4194496273994446},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3714750111103058},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.202061265707016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11146482825279236},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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":1,"locations":[{"id":"doi:10.1109/icdar.2007.4377006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2007.4377006","pdf_url":null,"source":{"id":"https://openalex.org/S4210215987","display_name":"Proceedings of the International Conference on Document Analysis and Recognition","issn_l":"1520-5363","issn":["1520-5363","2379-2140"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W156841489","https://openalex.org/W1529004121","https://openalex.org/W1954834096","https://openalex.org/W2008618256","https://openalex.org/W2084525555","https://openalex.org/W2112274905","https://openalex.org/W2112355528","https://openalex.org/W2143613380","https://openalex.org/W2151976818","https://openalex.org/W2168664361","https://openalex.org/W2362389669","https://openalex.org/W6631809330","https://openalex.org/W6640843748","https://openalex.org/W6676939961","https://openalex.org/W6680975291","https://openalex.org/W6685067430"],"related_works":["https://openalex.org/W4251972423","https://openalex.org/W1503216044","https://openalex.org/W2393609567","https://openalex.org/W2369369044","https://openalex.org/W2354143083","https://openalex.org/W2372906645","https://openalex.org/W4319998713","https://openalex.org/W2353650902","https://openalex.org/W2347884623","https://openalex.org/W2366269494"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,13,34,39,45,71],"general":[4],"frame":[5],"to":[6,16,85],"integrate":[7],"segmentation":[8,78],"and":[9,11,65,79,88],"recognition":[10,64],"gives":[12],"novel":[14],"method":[15,29],"identify":[17],"lingual":[18],"attribute":[19],"of":[20,27,59,90],"mixed":[21],"Chinese/English":[22],"characters.":[23],"The":[24],"outstanding":[25],"performance":[26],"this":[28],"is":[30,42,50,83],"as":[31,44],"follows.":[32],"First,":[33],"text-":[35],"line":[36],"rather":[37],"than":[38],"character":[40,63,67],"segment":[41],"regarded":[43],"process":[46],"unit.":[47],"Second,":[48],"multi-feature":[49],"adopted":[51,74],"based":[52],"on":[53],"multi-phase":[54],"segmentation.":[55],"Third,":[56],"two":[57],"types":[58],"feedbacks,":[60],"including":[61],"from":[62,66],"feature":[68],"statistic":[69],"within":[70],"text-line,":[72],"are":[73],"throughout":[75],"the":[76,86],"whole":[77],"recognition.":[80],"Fourth,":[81],"it":[82],"adaptive":[84],"quality":[87],"genre":[89],"documents.":[91]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
