{"id":"https://openalex.org/W2019478948","doi":"https://doi.org/10.1109/tpami.2014.2388210","title":"Multi-Orientation Scene Text Detection with Adaptive Clustering","display_name":"Multi-Orientation Scene Text Detection with Adaptive Clustering","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2019478948","doi":"https://doi.org/10.1109/tpami.2014.2388210","mag":"2019478948","pmid":"https://pubmed.ncbi.nlm.nih.gov/26353137"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2014.2388210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2014.2388210","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5074514262","display_name":"Xu-Cheng Yin","orcid":"https://orcid.org/0000-0003-0023-0220"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu-Cheng Yin","raw_affiliation_strings":["Department of Computer Science and Technology and also with the Beijing Key Laboratory of Materials Science Knowledge Engineering, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","[Department of Computer Science and Technology and also with the Beijing Key Laboratory of Materials Science Knowledge Engineering, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology and also with the Beijing Key Laboratory of Materials Science Knowledge Engineering, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"[Department of Computer Science and Technology and also with the Beijing Key Laboratory of Materials Science Knowledge Engineering, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China]","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070967152","display_name":"Wei-Yi Pei","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Yi Pei","raw_affiliation_strings":["Department of Computer Science and Technology, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433042","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-5579-7094"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055393039","display_name":"Hongwei Hao","orcid":"https://orcid.org/0000-0003-2019-516X"},"institutions":[{"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"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-Wei Hao","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China","Institute of Automation Chinese Academy of Sciences  Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation Chinese Academy of Sciences  Beijing China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074514262"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":23.3955,"has_fulltext":false,"cited_by_count":276,"citation_normalized_percentile":{"value":0.99594537,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"37","issue":"9","first_page":"1930","last_page":"1937"},"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":0.9983999729156494,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9958999752998352,"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":0.8173525333404541},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7671105265617371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6848917007446289},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6182005405426025},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5983511209487915},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5581905841827393},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5004103183746338},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.47205764055252075},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4525935649871826},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4471842050552368},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42396894097328186},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34689104557037354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8173525333404541},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7671105265617371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6848917007446289},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6182005405426025},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5983511209487915},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5581905841827393},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5004103183746338},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.47205764055252075},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4525935649871826},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4471842050552368},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42396894097328186},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34689104557037354},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2014.2388210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2014.2388210","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:26353137","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26353137","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8799999952316284}],"awards":[{"id":"https://openalex.org/G1153650145","display_name":null,"funder_award_id":"61473036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3054780963","display_name":null,"funder_award_id":"61175020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4837588559","display_name":null,"funder_award_id":"61105018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"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":52,"referenced_works":["https://openalex.org/W1456051393","https://openalex.org/W1521064364","https://openalex.org/W1547848520","https://openalex.org/W1607307044","https://openalex.org/W1663973292","https://openalex.org/W1964797636","https://openalex.org/W1972065312","https://openalex.org/W1972730516","https://openalex.org/W1978854150","https://openalex.org/W1981717329","https://openalex.org/W1982907973","https://openalex.org/W1986965125","https://openalex.org/W1988461287","https://openalex.org/W1992257524","https://openalex.org/W2006408850","https://openalex.org/W2006653496","https://openalex.org/W2008806374","https://openalex.org/W2014286161","https://openalex.org/W2017278151","https://openalex.org/W2023415694","https://openalex.org/W2056435187","https://openalex.org/W2061802763","https://openalex.org/W2065613686","https://openalex.org/W2077839943","https://openalex.org/W2083868436","https://openalex.org/W2083954025","https://openalex.org/W2090914336","https://openalex.org/W2096100960","https://openalex.org/W2117154949","https://openalex.org/W2122221966","https://openalex.org/W2131163834","https://openalex.org/W2131447359","https://openalex.org/W2131673214","https://openalex.org/W2135164809","https://openalex.org/W2135231474","https://openalex.org/W2135431879","https://openalex.org/W2137718414","https://openalex.org/W2142159465","https://openalex.org/W2148214126","https://openalex.org/W2149266633","https://openalex.org/W2163237111","https://openalex.org/W2594639291","https://openalex.org/W3098821875","https://openalex.org/W6628481903","https://openalex.org/W6631165897","https://openalex.org/W6632893558","https://openalex.org/W6636382570","https://openalex.org/W6642274394","https://openalex.org/W6642972425","https://openalex.org/W6677328822","https://openalex.org/W6679774445","https://openalex.org/W6680152204"],"related_works":["https://openalex.org/W1457719682","https://openalex.org/W2056593505","https://openalex.org/W119019269","https://openalex.org/W2546942002","https://openalex.org/W4245549600","https://openalex.org/W2970216048","https://openalex.org/W2382607599","https://openalex.org/W2015538044","https://openalex.org/W2374959876","https://openalex.org/W2026066288"],"abstract_inverted_index":{"Text":[0],"detection":[1,77],"in":[2],"natural":[3],"scene":[4,28,75,132,180],"images":[5],"is":[6,127,162,186],"an":[7,72],"important":[8],"prerequisite":[9],"for":[10,42],"many":[11],"content-based":[12],"image":[13],"analysis":[14],"tasks,":[15],"while":[16],"most":[17],"current":[18],"research":[19],"efforts":[20],"only":[21],"focus":[22],"on":[23,87,129,149],"horizontal":[24,27],"or":[25],"near":[26],"text.":[29],"In":[30],"this":[31,88],"paper,":[32],"first":[33],"we":[34,70],"present":[35],"a":[36,176],"unified":[37],"distance":[38],"metric":[39],"learning":[40],"framework":[41],"adaptive":[43,89],"hierarchical":[44,112],"clustering,":[45,107,113],"which":[46,79,185],"can":[47],"simultaneously":[48],"learn":[49],"similarity":[50],"weights":[51],"(to":[52,62],"adaptively":[53],"combine":[54],"different":[55],"feature":[56],"similarities)":[57],"and":[58,114,143,146,174],"the":[59,65,150,156,168],"clustering":[60],"threshold":[61],"automatically":[63],"determine":[64],"number":[66],"of":[67,97,123,159],"clusters).":[68],"Then,":[69],"propose":[71],"effective":[73],"multi-orientation":[74,151,179],"text":[76,81,92,133,152,181],"system,":[78],"constructs":[80],"candidates":[82,93],"by":[83],"grouping":[84,101,104,109,116],"characters":[85],"based":[86],"clustering.":[90,120],"Our":[91],"construction":[94],"method":[95],"consists":[96],"several":[98,130],"sequential":[99],"coarse-to-fine":[100],"steps:":[102],"morphology-based":[103],"via":[105,110,118],"single-link":[106],"orientation-based":[108],"divisive":[111,119],"projection-based":[115],"also":[117,172],"The":[121],"effectiveness":[122],"our":[124,160],"proposed":[125],"system":[126,161],"evaluated":[128],"public":[131],"databases,":[134],"e.g.,":[135],"ICDAR":[136],"Robust":[137],"Reading":[138],"Competition":[139],"data":[140,153,182],"sets":[141],"(2011":[142],"2013),":[144],"MSRA-TD500":[145],"NEOCR.":[147],"Specifically,":[148],"set":[154,183],"MSRA-TD500,":[155],"f":[157],"measure":[158],"71":[163],"percent,":[164],"much":[165],"better":[166],"than":[167],"state-of-the-art":[169],"performance.":[170],"We":[171],"construct":[173],"release":[175],"practical":[177],"challenging":[178],"(USTB-SV1K),":[184],"available":[187],"at":[188],"http://prir.ustb.edu.cn/TexStar/MOMV-text-detection/.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":28},{"year":2019,"cited_by_count":45},{"year":2018,"cited_by_count":43},{"year":2017,"cited_by_count":50},{"year":2016,"cited_by_count":27},{"year":2015,"cited_by_count":5}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
