{"id":"https://openalex.org/W2608792855","doi":"https://doi.org/10.1109/icpr.2016.7900156","title":"A novel text structure feature extractor for Chinese scene text detection and recognition","display_name":"A novel text structure feature extractor for Chinese scene text detection and recognition","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2608792855","doi":"https://doi.org/10.1109/icpr.2016.7900156","mag":"2608792855"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7900156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5088322622","display_name":"Xiaohang Ren","orcid":"https://orcid.org/0000-0002-6223-0667"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaohang Ren","raw_affiliation_strings":["Institute of Image Communication and Information Processing, Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Information Processing, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437924","display_name":"Kai Chen","orcid":"https://orcid.org/0000-0001-6384-0355"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Chen","raw_affiliation_strings":["Institute of Image Communication and Information Processing, Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Information Processing, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019708391","display_name":"Xiaokang Yang","orcid":"https://orcid.org/0000-0003-4029-3322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Yang","raw_affiliation_strings":["Institute of Image Communication and Information Processing, Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Information Processing, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101704070","display_name":"Yi Zhou","orcid":"https://orcid.org/0000-0002-3982-9145"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhou","raw_affiliation_strings":["Institute of Image Communication and Information Processing, Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Information Processing, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014610561","display_name":"Jianhua He","orcid":"https://orcid.org/0000-0002-5738-8507"},"institutions":[{"id":"https://openalex.org/I169199633","display_name":"Aston University","ror":"https://ror.org/05j0ve876","country_code":"GB","type":"education","lineage":["https://openalex.org/I169199633"]},{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Jianhua He","raw_affiliation_strings":["Institute of Image Communication and Information Processing, Shanghai Jiao Tong University","School of Engineering and Applied Science, Aston University"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Information Processing, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Engineering and Applied Science, Aston University","institution_ids":["https://openalex.org/I169199633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100327195","display_name":"Jun Sun","orcid":"https://orcid.org/0000-0002-0967-4859"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Sun","raw_affiliation_strings":["Institute of Image Communication and Information Processing, Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Information Processing, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088322622"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.1695,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62196251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"20","issue":null,"first_page":"3380","last_page":"3385"},"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":0.9868000149726868,"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":0.9854999780654907,"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":0.7694523334503174},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.738410472869873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6763973832130432},{"id":"https://openalex.org/keywords/text-recognition","display_name":"Text recognition","score":0.6622309684753418},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5904187560081482},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5735986232757568},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5528205037117004},{"id":"https://openalex.org/keywords/text-detection","display_name":"Text detection","score":0.5276032090187073},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4194675087928772},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14662575721740723},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.06781083345413208},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06738561391830444}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7694523334503174},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.738410472869873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6763973832130432},{"id":"https://openalex.org/C2983812711","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text recognition","level":3,"score":0.6622309684753418},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5904187560081482},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5735986232757568},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5528205037117004},{"id":"https://openalex.org/C2983589003","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text detection","level":3,"score":0.5276032090187073},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4194675087928772},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14662575721740723},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.06781083345413208},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06738561391830444},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2016.7900156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:discovery.dundee.ac.uk:openaire_cris_publications/a25f0252-4f60-46dd-94d9-11c558308d5a","is_oa":false,"landing_page_url":"https://discovery.dundee.ac.uk/en/publications/a25f0252-4f60-46dd-94d9-11c558308d5a","pdf_url":null,"source":{"id":"https://openalex.org/S4306400523","display_name":"Discovery Research Portal (University of Dundee)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177639307","host_organization_name":"University of Dundee","host_organization_lineage":["https://openalex.org/I177639307"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ren, X, Chen, K, Yang, X, Zhou, Y, He, J & Sun, J 2016, A novel text structure feature extractor for Chinese scene text detection and recognition. in 2016 23rd International Conference on Pattern Recognition, ICPR 2016., 7900156, Proceedings - International Conference on Pattern Recognition, vol. 0, IEEE, pp. 3380-3385, 23rd International Conference on Pattern Recognition, ICPR 2016, Cancun, Mexico, 4/12/16. https://doi.org/10.1109/ICPR.2016.7900156","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6100000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W117491841","https://openalex.org/W1491389626","https://openalex.org/W1505315132","https://openalex.org/W1607307044","https://openalex.org/W1720745709","https://openalex.org/W1827297289","https://openalex.org/W1922126009","https://openalex.org/W1976382093","https://openalex.org/W1978729128","https://openalex.org/W1981283549","https://openalex.org/W1998042868","https://openalex.org/W2008806374","https://openalex.org/W2014286161","https://openalex.org/W2066448589","https://openalex.org/W2096820674","https://openalex.org/W2120831521","https://openalex.org/W2131163834","https://openalex.org/W2131447359","https://openalex.org/W2131673214","https://openalex.org/W2142159465","https://openalex.org/W2148214126","https://openalex.org/W2153182373","https://openalex.org/W2181538338","https://openalex.org/W2953301748","https://openalex.org/W6629590909","https://openalex.org/W6636382570","https://openalex.org/W6637484576","https://openalex.org/W6638685980","https://openalex.org/W6679774445","https://openalex.org/W6685933971"],"related_works":["https://openalex.org/W4312663241","https://openalex.org/W4221004363","https://openalex.org/W2963299604","https://openalex.org/W3211262047","https://openalex.org/W950386562","https://openalex.org/W2363517123","https://openalex.org/W2894624991","https://openalex.org/W3179752470","https://openalex.org/W4296586882","https://openalex.org/W2903260224"],"abstract_inverted_index":{"Scene":[0],"text":[1,16,52,69,87,93,96,105,110,134,144,173,180,189],"information":[2],"extraction":[3,17,88],"plays":[4],"an":[5],"important":[6],"role":[7],"in":[8,22,34,76,155,167,196],"many":[9],"computer":[10],"vision":[11],"applications.":[12],"Unlike":[13],"most":[14,129],"existing":[15],"algorithms":[18,184],"for":[19,56,102],"English":[20],"texts,":[21,29],"this":[23,40],"paper,":[24],"we":[25,43],"focus":[26],"on":[27,186],"Chinese":[28,57,60,104],"which":[30,72,126],"are":[31,147],"more":[32],"complex":[33],"stroke":[35],"and":[36,66,107,170,182],"structure.":[37],"To":[38],"tackle":[39],"challenging":[41,130],"problem,":[42],"propose":[44],"a":[45],"novel":[46],"convolutional":[47,153],"neural":[48],"network":[49],"(CNN)":[50],"based":[51,185],"structure":[53,70,97,111,135,145,190],"feature":[54,99,174,191],"extractor":[55,192],"texts.":[58],"Each":[59],"character":[61],"contains":[62],"its":[63],"specific":[64],"types":[65,142],"combination":[67],"of":[68,123,132,143,172],"components,":[71],"is":[73,100,116,127],"rarely":[74],"seen":[75],"backgrounds.":[77],"Thus,":[78],"different":[79],"from":[80],"the":[81,95,120,128,156,160,163,168,177,187],"features":[82],"only":[83],"applicable":[84],"to":[85,118],"one":[86],"stage":[89],"(text":[90],"detection":[91,106,181],"or":[92],"recognition),":[94],"component":[98,112,124,136,146],"suitable":[101],"both":[103,179],"recognition.":[108],"A":[109],"detector":[113],"(TSCD)":[114],"layer":[115],"designed":[117,152],"detect":[119],"large":[121],"amount":[122],"types,":[125],"part":[131],"extracting":[133],"features.":[137],"Through":[138],"statistical":[139],"classification":[140],"various":[141],"detected":[148],"by":[149],"their":[150],"specially":[151],"units":[154],"TSCD":[157,161],"layer.":[158],"With":[159],"layer,":[162],"CNN":[164],"has":[165],"improvements":[166],"accuracy":[169],"uniqueness":[171],"description.":[175],"In":[176],"evaluation,":[178],"recognition":[183],"proposed":[188],"achieve":[193],"state-of-the-art":[194],"results":[195],"two":[197],"datasets.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}