{"id":"https://openalex.org/W3071622281","doi":"https://doi.org/10.1109/iske47853.2019.9170424","title":"Text Detection by Fusing Text Edge Semantics in Arbitrary Shapes","display_name":"Text Detection by Fusing Text Edge Semantics in Arbitrary Shapes","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3071622281","doi":"https://doi.org/10.1109/iske47853.2019.9170424","mag":"3071622281"},"language":"en","primary_location":{"id":"doi:10.1109/iske47853.2019.9170424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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/A5025296558","display_name":"Ziping Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziping Gao","raw_affiliation_strings":["Southwest Jiaotong University,The School of Information The School of Information,Chengdu,China","The School of Information The School of Information, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,The School of Information The School of Information,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"The School of Information The School of Information, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026744328","display_name":"Bo Peng","orcid":"https://orcid.org/0000-0002-8539-180X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Peng","raw_affiliation_strings":["Southwest Jiaotong University,The School of Information The School of Information,Chengdu,China","The School of Information The School of Information, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,The School of Information The School of Information,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"The School of Information The School of Information, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070559820","display_name":"Tianrui Li","orcid":"https://orcid.org/0000-0001-7780-104X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianrui Li","raw_affiliation_strings":["Southwest Jiaotong University,The School of Information The School of Information,Chengdu,China","The School of Information The School of Information, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,The School of Information The School of Information,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"The School of Information The School of Information, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24369417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"463","last_page":"469"},"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9914000034332275,"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":0.9908999800682068,"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":0.7736297845840454},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.7338817119598389},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6677363514900208},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6339309215545654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6231401562690735},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5421590805053711},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5127023458480835},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47773927450180054},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4474579393863678},{"id":"https://openalex.org/keywords/text-detection","display_name":"Text detection","score":0.42831701040267944},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39037370681762695},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21216043829917908},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.061746686697006226}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7736297845840454},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7338817119598389},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6677363514900208},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6339309215545654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6231401562690735},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5421590805053711},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5127023458480835},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47773927450180054},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4474579393863678},{"id":"https://openalex.org/C2983589003","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text detection","level":3,"score":0.42831701040267944},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39037370681762695},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21216043829917908},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.061746686697006226}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske47853.2019.9170424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170424","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1922126009","https://openalex.org/W2001999290","https://openalex.org/W2056518953","https://openalex.org/W2519818067","https://openalex.org/W2550687635","https://openalex.org/W2565639579","https://openalex.org/W2593539516","https://openalex.org/W2604243686","https://openalex.org/W2605076167","https://openalex.org/W2605982830","https://openalex.org/W2613718673","https://openalex.org/W2772800855","https://openalex.org/W2784050770","https://openalex.org/W2810028092","https://openalex.org/W2875814315","https://openalex.org/W2906333459","https://openalex.org/W2962773189","https://openalex.org/W2962799407","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963236355","https://openalex.org/W2963299604","https://openalex.org/W2963420686","https://openalex.org/W2963647456","https://openalex.org/W3102695566","https://openalex.org/W3106228955","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6639824700","https://openalex.org/W6729791593","https://openalex.org/W6743731764","https://openalex.org/W6746206475","https://openalex.org/W6757320581","https://openalex.org/W6765623483","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2028037572","https://openalex.org/W2315652488","https://openalex.org/W2039365229","https://openalex.org/W2145843506","https://openalex.org/W2379089757","https://openalex.org/W4293054829","https://openalex.org/W2056407677","https://openalex.org/W2128085731","https://openalex.org/W2551441443","https://openalex.org/W2388577840"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,53],"propose":[4],"a":[5,39,55,78],"method":[6,95],"of":[7,81],"fusing":[8],"text":[9,14,22,24,44,56,65,83,92],"edge":[10,27,35],"semantics":[11,57],"(FTES)":[12],"for":[13],"semantic":[15,25,28,32],"segmentation.":[16],"FTES":[17],"divides":[18],"an":[19,68],"image":[20],"containing":[21,77],"into":[23],"region,":[26,33],"region":[29,36,41,45,93],"and":[30,85],"background":[31,47],"where":[34],"is":[37],"as":[38],"transitional":[40],"that":[42,89],"splits":[43],"from":[46],"region.":[48],"At":[49],"the":[50,86],"same":[51],"time,":[52],"design":[54],"segmentation":[58],"network":[59],"FTES-Net":[60],"to":[61],"detect":[62],"arbitrarily":[63],"shaped":[64],"regions":[66],"in":[67],"images.":[69],"We":[70],"perform":[71],"experiments":[72],"on":[73],"two":[74],"public":[75],"datasets":[76],"large":[79],"number":[80],"non-linear":[82],"regions,":[84],"results":[87],"show":[88],"our":[90],"proposed":[91],"detection":[94],"can":[96],"achieve":[97],"comparable":[98],"results.":[99]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
