{"id":"https://openalex.org/W2790258970","doi":"https://doi.org/10.1109/icip.2017.8296908","title":"Scene text detection based on skeleton-cut detector","display_name":"Scene text detection based on skeleton-cut detector","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2790258970","doi":"https://doi.org/10.1109/icip.2017.8296908","mag":"2790258970"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5100603785","display_name":"Xiang He","orcid":"https://orcid.org/0000-0003-1158-5633"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang He","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110814145","display_name":"Yonghong Song","orcid":"https://orcid.org/0000-0001-5978-3781"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Song","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046450643","display_name":"Yuanlin Zhang","orcid":"https://orcid.org/0000-0003-0960-3636"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanlin Zhang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":null,"first_page":"3375","last_page":"3379"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.989799976348877,"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":0.9891999959945679,"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/recall-rate","display_name":"Recall rate","score":0.7554819583892822},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.729482889175415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7281551957130432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7106812596321106},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6203312277793884},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6188713312149048},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6099607944488525},{"id":"https://openalex.org/keywords/text-detection","display_name":"Text detection","score":0.5833531022071838},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5531564354896545},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5416854023933411},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5337038636207581},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4956721067428589},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4112362563610077},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4003005623817444},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20358768105506897}],"concepts":[{"id":"https://openalex.org/C2987098735","wikidata":"https://www.wikidata.org/wiki/Q3808900","display_name":"Recall rate","level":2,"score":0.7554819583892822},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.729482889175415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7281551957130432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7106812596321106},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6203312277793884},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6188713312149048},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6099607944488525},{"id":"https://openalex.org/C2983589003","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text detection","level":3,"score":0.5833531022071838},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5531564354896545},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5416854023933411},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5337038636207581},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4956721067428589},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4112362563610077},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4003005623817444},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20358768105506897},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8296908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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":30,"referenced_works":["https://openalex.org/W1026856040","https://openalex.org/W1972065312","https://openalex.org/W1976047850","https://openalex.org/W1976382093","https://openalex.org/W1992257524","https://openalex.org/W2006408850","https://openalex.org/W2017278151","https://openalex.org/W2023415694","https://openalex.org/W2056435187","https://openalex.org/W2056518953","https://openalex.org/W2061802763","https://openalex.org/W2065613686","https://openalex.org/W2078997308","https://openalex.org/W2091675061","https://openalex.org/W2113295334","https://openalex.org/W2122221966","https://openalex.org/W2122410182","https://openalex.org/W2124404372","https://openalex.org/W2128854450","https://openalex.org/W2135231474","https://openalex.org/W2137718414","https://openalex.org/W2142159465","https://openalex.org/W2148214126","https://openalex.org/W2158710217","https://openalex.org/W2217433794","https://openalex.org/W2239285313","https://openalex.org/W2343052201","https://openalex.org/W2517021335","https://openalex.org/W6626567896","https://openalex.org/W6642972425"],"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":{"As":[0],"the":[1,17,31,39,81,85,108],"structural":[2],"information":[3],"of":[4,80,110],"an":[5],"object":[6],"can":[7],"be":[8],"well":[9],"descripted":[10],"by":[11,140],"edge":[12,46,82],"pixels,":[13],"we":[14,37],"observe":[15],"that":[16,122],"greatest":[18],"challenge":[19],"for":[20],"locating":[21],"text":[22,58,78],"edges":[23],"on":[24,94,114],"scene":[25],"image":[26],"is":[27,104],"how":[28],"to":[29,56,75,106,138,144],"handle":[30],"edge-adhesion":[32,66],"problem.":[33],"In":[34],"this":[35],"paper":[36],"propose":[38],"Skeleton-cut":[40],"Text":[41],"Detector,":[42],"which":[43],"take":[44],"text-specific":[45],"cues":[47],"such":[48],"as":[49],"a":[50,90],"novel":[51],"presentation":[52],"skeleton":[53,142],"into":[54],"account":[55],"hunt":[57],"efficiently":[59],"with":[60],"improved":[61],"recall":[62],"rate.":[63],"To":[64],"address":[65],"problem,":[67],"skeleton-junctions":[68],"detection":[69],"and":[70,119],"elimination":[71],"are":[72,87],"performed":[73],"first":[74],"cut":[76],"candidate":[77],"out":[79],"map.":[83],"Then":[84],"candidates":[86],"verified":[88],"through":[89],"two-stage":[91],"classifier":[92],"based":[93],"properties":[95],"like":[96,147],"concentration":[97],"ratio.":[98],"Finally":[99],"iteratively":[100],"local":[101],"refinement":[102],"(IRL)":[103],"applied":[105],"enhance":[107],"overlap":[109],"proposals.":[111],"Experimental":[112],"results":[113],"public":[115],"benchmarks,":[116],"ICDAR":[117],"2013":[118],"MSRA,":[120],"demonstrate":[121],"our":[123,132],"algorithm":[124],"achieves":[125],"state-of-the-art":[126],"performance.":[127],"Moreover":[128],"in":[129],"severe":[130],"scenarios,":[131],"proposed":[133],"method":[134],"shows":[135],"stronger":[136],"adaptability":[137],"texts":[139],"exploiting":[141],"compared":[143],"conventional":[145],"presentations":[146],"MSERs.":[148]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}