{"id":"https://openalex.org/W4206736354","doi":"https://doi.org/10.1109/ucet54125.2021.9674949","title":"Adaptive Inclined Text Detection in Natural Scenes Fusing Convolutional Recurrent Neural Network","display_name":"Adaptive Inclined Text Detection in Natural Scenes Fusing Convolutional Recurrent Neural Network","publication_year":2021,"publication_date":"2021-11-04","ids":{"openalex":"https://openalex.org/W4206736354","doi":"https://doi.org/10.1109/ucet54125.2021.9674949"},"language":"en","primary_location":{"id":"doi:10.1109/ucet54125.2021.9674949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ucet54125.2021.9674949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on UK-China Emerging Technologies (UCET)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5054803490","display_name":"Yijian Gao","orcid":"https://orcid.org/0009-0004-3683-4290"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijian Gao","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101992666","display_name":"Yu Gao","orcid":"https://orcid.org/0000-0001-7622-0112"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Gao","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046729236","display_name":"Zhixuan Wang","orcid":"https://orcid.org/0000-0002-1044-214X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixuan Wang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068780772","display_name":"Xiaorui Lin","orcid":"https://orcid.org/0009-0005-5251-637X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorui Lin","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103052017","display_name":"Zhuoling Xiao","orcid":"https://orcid.org/0000-0002-8118-2330"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoling Xiao","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"246","last_page":"251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":1.0,"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":1.0,"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":0.9945999979972839,"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"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9944999814033508,"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":0.7793272137641907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.72261643409729},{"id":"https://openalex.org/keywords/text-detection","display_name":"Text detection","score":0.7143839001655579},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6454641222953796},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5890525579452515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.564032793045044},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.45509761571884155},{"id":"https://openalex.org/keywords/recall-rate","display_name":"Recall rate","score":0.4382432699203491},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42978575825691223},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3969743847846985},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39391061663627625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34566158056259155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08445996046066284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7793272137641907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.72261643409729},{"id":"https://openalex.org/C2983589003","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text detection","level":3,"score":0.7143839001655579},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6454641222953796},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5890525579452515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.564032793045044},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.45509761571884155},{"id":"https://openalex.org/C2987098735","wikidata":"https://www.wikidata.org/wiki/Q3808900","display_name":"Recall rate","level":2,"score":0.4382432699203491},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42978575825691223},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3969743847846985},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39391061663627625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34566158056259155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08445996046066284},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ucet54125.2021.9674949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ucet54125.2021.9674949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on UK-China Emerging Technologies (UCET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5799999833106995}],"awards":[{"id":"https://openalex.org/G7017687580","display_name":"\u81ea\u6211\u8fdb\u5316\u7684\u9ad8\u5ea6\u81ea\u4e3b\u878d\u5408\u5b9a\u4f4d\u6280\u672f\u7814\u7a76","funder_award_id":"61973056","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":38,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W639708223","https://openalex.org/W1903029394","https://openalex.org/W1972065312","https://openalex.org/W2008806374","https://openalex.org/W2065042463","https://openalex.org/W2104636679","https://openalex.org/W2127141656","https://openalex.org/W2148214126","https://openalex.org/W2194187530","https://openalex.org/W2294053032","https://openalex.org/W2339589954","https://openalex.org/W2519818067","https://openalex.org/W2555182955","https://openalex.org/W2593539516","https://openalex.org/W2593572697","https://openalex.org/W2605982830","https://openalex.org/W2751748110","https://openalex.org/W2754613063","https://openalex.org/W2788069964","https://openalex.org/W2890807499","https://openalex.org/W2902494497","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963517393","https://openalex.org/W2998621280","https://openalex.org/W3019570724","https://openalex.org/W3035679705","https://openalex.org/W3082397598","https://openalex.org/W3106228955","https://openalex.org/W3106250896","https://openalex.org/W3127561923","https://openalex.org/W6618372016","https://openalex.org/W6642972425","https://openalex.org/W6744133147","https://openalex.org/W6744179516","https://openalex.org/W6748446516","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3014346679","https://openalex.org/W2946993372","https://openalex.org/W3185687119","https://openalex.org/W2790258970","https://openalex.org/W2078446911","https://openalex.org/W2279343407","https://openalex.org/W2086626536","https://openalex.org/W1981906153","https://openalex.org/W1014191188","https://openalex.org/W4281800409"],"abstract_inverted_index":{"Image":[0],"text":[1,25,34,45,51,58,65],"detection":[2,46,66,84],"and":[3,28,43,55,68,94],"recognition":[4],"has":[5],"always":[6],"been":[7],"one":[8],"of":[9,17,24],"the":[10,15,22,73,82,98],"most":[11],"important":[12],"topics":[13],"in":[14,35],"field":[16],"intelligent":[18],"information":[19],"processing.":[20],"Given":[21],"diversity":[23],"size,":[26],"orientation":[27],"complex":[29],"background":[30],"problems":[31],"while":[32],"detecting":[33],"natural":[36],"scenes,":[37],"this":[38],"paper":[39],"proposes":[40],"a":[41,50],"robust":[42,67],"adaptive":[44],"algorithm.":[47],"We":[48,70],"present":[49],"box":[52,59],"grouping":[53],"strategy":[54],"an":[56],"inclined":[57,64],"fitting":[60],"approach":[61],"to":[62,80],"make":[63],"accurate.":[69],"also":[71],"fuse":[72],"Convolutional":[74],"Recurrent":[75],"Neural":[76],"Network":[77],"(CRNN)":[78],"behind":[79],"eliminate":[81],"error":[83],"results.":[85],"Our":[86],"algorithm":[87],"achieves":[88],"0.84":[89],"accuracy,":[90],"0.76":[91],"recall":[92],"rate":[93],"0.8":[95],"F-Measure":[96],"on":[97],"MSRA-TD500":[99],"dataset.":[100]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}