{"id":"https://openalex.org/W2073467609","doi":"https://doi.org/10.1145/2632856.2632925","title":"Structure Context Clues for Chinese Text Detection","display_name":"Structure Context Clues for Chinese Text Detection","publication_year":2014,"publication_date":"2014-07-10","ids":{"openalex":"https://openalex.org/W2073467609","doi":"https://doi.org/10.1145/2632856.2632925","mag":"2073467609"},"language":"en","primary_location":{"id":"doi:10.1145/2632856.2632925","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2632856.2632925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of International Conference on Internet Multimedia Computing and Service","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/A5100412926","display_name":"Lin Li","orcid":"https://orcid.org/0000-0003-0426-6546"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Lin","raw_affiliation_strings":["Computer Science Department, Xiamen University, 13015916257, P.R. China"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Xiamen University, 13015916257, P.R. China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076485255","display_name":"Yanyun Qu","orcid":"https://orcid.org/0000-0002-8926-4162"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyun Qu","raw_affiliation_strings":["Computer Science Department, Xiamen University, 15710658634, P.R. China"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Xiamen University, 15710658634, P.R. China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037902413","display_name":"Weimin Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Liao","raw_affiliation_strings":["Computer Science Department, Xiamen University, 15711588318, P.R. China"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Xiamen University, 15711588318, P.R. China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100412926"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.2439,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59978997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"327","last_page":"331"},"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":0.998199999332428,"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":0.9944999814033508,"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":0.7594599723815918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6902000904083252},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6638151407241821},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6377420425415039},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6223194599151611},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5856594443321228},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5658339262008667},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5430963635444641},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5286170840263367},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.520756721496582},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4376850128173828},{"id":"https://openalex.org/keywords/chinese-characters","display_name":"Chinese characters","score":0.43687424063682556},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4276200830936432},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31285446882247925},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2360718548297882},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14721035957336426},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06303530931472778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7594599723815918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6902000904083252},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6638151407241821},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6377420425415039},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6223194599151611},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5856594443321228},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5658339262008667},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5430963635444641},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5286170840263367},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.520756721496582},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4376850128173828},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.43687424063682556},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4276200830936432},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31285446882247925},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2360718548297882},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14721035957336426},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06303530931472778},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2632856.2632925","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2632856.2632925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1521064364","https://openalex.org/W1539000009","https://openalex.org/W1555230242","https://openalex.org/W1607307044","https://openalex.org/W1998042868","https://openalex.org/W2017278151","https://openalex.org/W2024959534","https://openalex.org/W2027883219","https://openalex.org/W2036887016","https://openalex.org/W2061802763","https://openalex.org/W2076014259","https://openalex.org/W2083954025","https://openalex.org/W2131447359","https://openalex.org/W2131673214","https://openalex.org/W2134378185","https://openalex.org/W2137718414","https://openalex.org/W2141178575","https://openalex.org/W2147237076","https://openalex.org/W2153635508","https://openalex.org/W2166949156","https://openalex.org/W2241639651","https://openalex.org/W3120421331"],"related_works":["https://openalex.org/W2107628111","https://openalex.org/W2363102944","https://openalex.org/W2394004323","https://openalex.org/W2398764543","https://openalex.org/W2027335291","https://openalex.org/W4210328553","https://openalex.org/W1980417906","https://openalex.org/W2171903035","https://openalex.org/W2106598802","https://openalex.org/W2071206959"],"abstract_inverted_index":{"In":[0],"this":[1,110],"paper,":[2],"we":[3,47,79,113,129,157],"focus":[4],"on":[5,22,166],"Chinese":[6,43,89,160],"text":[7,44,126],"detection":[8],"in":[9,61,109],"a":[10,100,106,137,142],"natural":[11],"scene":[12],"image.":[13],"Different":[14],"from":[15],"the":[16,54,68,75,115,122,133,173,177],"existing":[17],"methods":[18],"which":[19,38,85,167],"usually":[20],"rely":[21],"complicated":[23],"features":[24,34,84],"or":[25],"heavy":[26],"learning":[27],"models,":[28],"our":[29,159,168,180],"method":[30],"introduces":[31],"simple":[32,82],"structure":[33,83,116],"and":[35,67,127,141],"context":[36,117,123],"groups":[37],"are":[39,71,86,102],"very":[40],"effective":[41],"for":[42,88],"detection.":[45],"Specifically,":[46],"firstly":[48],"extract":[49],"connected":[50],"components":[51],"by":[52,73,136],"using":[53],"Maximally":[55],"Stable":[56],"Extremal":[57],"Region":[58],"algorithm":[59],"(MSER)":[60],"multiple":[62],"channels":[63],"of":[64,99,121,151,179],"color":[65],"space":[66],"candidate":[69,94],"regions":[70,135],"generated":[72],"combining":[74],"extraction":[76],"results.":[77],"Secondly,":[78],"design":[80],"some":[81],"special":[87],"characters":[90],"to":[91,104,131],"filter":[92,132,140],"non-text":[93,134],"regions.":[95],"Some":[96],"detached":[97],"parts":[98],"character":[101,108],"merged":[103],"form":[105],"whole":[107],"stage.":[111],"Finally,":[112],"propose":[114],"clues.":[118],"Making":[119],"use":[120],"difference":[124],"between":[125],"non-text,":[128],"further":[130],"context-based":[138],"group":[139],"Supported":[143],"Vector":[144],"Machine":[145],"(SVM)":[146],"classifier":[147],"trained":[148],"with":[149],"Histogram":[150],"Oriented":[152],"Gradients":[153],"(HOG)":[154],"features.":[155],"Furthermore,":[156],"build":[158],"Character":[161],"Street":[162],"View":[163],"(CCSV)":[164],"dataset,":[165],"approach":[169],"is":[170],"implemented.":[171],"And":[172],"experimental":[174],"results":[175],"demonstrate":[176],"availability":[178],"method.":[181]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}