{"id":"https://openalex.org/W2013360608","doi":"https://doi.org/10.1109/tip.2014.2317980","title":"Scene Text Recognition in Mobile Applications by Character Descriptor and Structure Configuration","display_name":"Scene Text Recognition in Mobile Applications by Character Descriptor and Structure Configuration","publication_year":2014,"publication_date":"2014-04-16","ids":{"openalex":"https://openalex.org/W2013360608","doi":"https://doi.org/10.1109/tip.2014.2317980","mag":"2013360608","pmid":"https://pubmed.ncbi.nlm.nih.gov/24759989"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2014.2317980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2317980","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","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/A5038048230","display_name":"Chucai Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I121847817","display_name":"The Graduate Center, CUNY","ror":"https://ror.org/00awd9g61","country_code":"US","type":"education","lineage":["https://openalex.org/I121847817"]},{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chucai Yi","raw_affiliation_strings":["Graduate Center, City University of New York, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Graduate Center, City University of New York, New York, NY, USA","institution_ids":["https://openalex.org/I174216632","https://openalex.org/I121847817"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074244244","display_name":"Yingli Tian","orcid":"https://orcid.org/0000-0003-4458-360X"},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]},{"id":"https://openalex.org/I121847817","display_name":"The Graduate Center, CUNY","ror":"https://ror.org/00awd9g61","country_code":"US","type":"education","lineage":["https://openalex.org/I121847817"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingli Tian","raw_affiliation_strings":["Graduate Center, City University of New York, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Graduate Center, City University of New York, New York, NY, USA","institution_ids":["https://openalex.org/I174216632","https://openalex.org/I121847817"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038048230"],"corresponding_institution_ids":["https://openalex.org/I121847817","https://openalex.org/I174216632"],"apc_list":null,"apc_paid":null,"fwci":5.1213,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.96464452,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"23","issue":"7","first_page":"2972","last_page":"2982"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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":0.9980000257492065,"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":0.8242605924606323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.715576171875},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6801811456680298},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6261531710624695},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.5634936094284058},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5115833878517151},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.5056867599487305},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49012741446495056},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.4878089725971222},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4620012938976288},{"id":"https://openalex.org/keywords/text-detection","display_name":"Text detection","score":0.4482005536556244},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32138222455978394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8242605924606323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.715576171875},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6801811456680298},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6261531710624695},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5634936094284058},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5115833878517151},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.5056867599487305},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49012741446495056},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.4878089725971222},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4620012938976288},{"id":"https://openalex.org/C2983589003","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text detection","level":3,"score":0.4482005536556244},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32138222455978394},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014956","descriptor_name":"Writing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014956","descriptor_name":"Writing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014956","descriptor_name":"Writing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D063731","descriptor_name":"Mobile Applications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D063731","descriptor_name":"Mobile Applications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D063731","descriptor_name":"Mobile Applications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2014.2317980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2317980","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","raw_type":"journal-article"},{"id":"pmid:24759989","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24759989","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G1866772820","display_name":null,"funder_award_id":"W911NF-09-1-0565","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G2025273420","display_name":null,"funder_award_id":"EFRI-1137172","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2419155976","display_name":null,"funder_award_id":"IIP-1343402","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2828186369","display_name":null,"funder_award_id":"DTFH61-12-H-00002","funder_id":"https://openalex.org/F4320332393","funder_display_name":"Federal Highway Administration"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332393","display_name":"Federal Highway Administration","ror":"https://ror.org/0473rr271"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1521064364","https://openalex.org/W1579279110","https://openalex.org/W1603112761","https://openalex.org/W1972065312","https://openalex.org/W1973772835","https://openalex.org/W1998042868","https://openalex.org/W2001642682","https://openalex.org/W2006408850","https://openalex.org/W2016847844","https://openalex.org/W2049951199","https://openalex.org/W2051997013","https://openalex.org/W2061802763","https://openalex.org/W2062857082","https://openalex.org/W2067946238","https://openalex.org/W2069472161","https://openalex.org/W2076014259","https://openalex.org/W2077916012","https://openalex.org/W2089439257","https://openalex.org/W2090746339","https://openalex.org/W2104093257","https://openalex.org/W2104309475","https://openalex.org/W2131447359","https://openalex.org/W2134378185","https://openalex.org/W2135431879","https://openalex.org/W2139923216","https://openalex.org/W2140132917","https://openalex.org/W2142159465","https://openalex.org/W2146248127","https://openalex.org/W2159460562","https://openalex.org/W2161969291","https://openalex.org/W2166949156","https://openalex.org/W2168356304","https://openalex.org/W3097096317","https://openalex.org/W4213116910","https://openalex.org/W4254238410","https://openalex.org/W6631165897","https://openalex.org/W6636145598","https://openalex.org/W6642972425","https://openalex.org/W6649973027","https://openalex.org/W6650820226","https://openalex.org/W6663505188","https://openalex.org/W6669621667","https://openalex.org/W6672807307"],"related_works":["https://openalex.org/W2073139667","https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W2773500201","https://openalex.org/W2061273563","https://openalex.org/W4287995534","https://openalex.org/W2743258233","https://openalex.org/W2998168123","https://openalex.org/W2285052147","https://openalex.org/W2806866760"],"abstract_inverted_index":{"Text":[0],"characters":[1],"and":[2,32,78,143],"strings":[3],"in":[4,106],"natural":[5,18],"scene":[6,19,42,63,103,125,147],"can":[7],"provide":[8],"valuable":[9],"information":[10,127],"for":[11],"many":[12],"applications.":[13],"Extracting":[14],"text":[15,30,43,47,50,60,104,126,148,163],"directly":[16],"from":[17,45,62,129],"images":[20],"or":[21],"videos":[22],"is":[23,97,114,165],"a":[24,39,68],"challenging":[25],"task":[26],"because":[27],"of":[28,41,102,120,146,162],"diverse":[29],"patterns":[31],"variant":[33],"background":[34],"interferences.":[35],"This":[36],"paper":[37],"proposes":[38],"method":[40,123],"recognition":[44,164],"detected":[46],"regions.":[48],"In":[49],"detection,":[51],"our":[52,121,159],"previously":[53],"proposed":[54,122,160],"algorithms":[55],"are":[56],"applied":[57],"to":[58,116],"obtain":[59],"regions":[61],"image.":[64],"First,":[65],"we":[66,81],"design":[67,96,142],"discriminative":[69],"character":[70,83,87],"descriptor":[71],"by":[72,89],"combining":[73],"several":[74],"state-of-the-art":[75],"feature":[76],"detectors":[77],"descriptors.":[79],"Second,":[80],"model":[82],"structure":[84],"at":[85],"each":[86],"class":[88],"designing":[90],"stroke":[91],"configuration":[92],"maps.":[93],"Our":[94],"algorithm":[95,141],"compatible":[98],"with":[99,167],"the":[100,118,168],"application":[101],"extraction":[105,128],"smart":[107],"mobile":[108],"devices.":[109],"An":[110],"Android-based":[111],"demo":[112,133],"system":[113,134],"developed":[115],"show":[117],"effectiveness":[119],"on":[124,153],"nearby":[130],"objects.":[131],"The":[132,150],"also":[135],"provides":[136],"us":[137],"some":[138],"insight":[139],"into":[140],"performance":[144],"improvement":[145],"extraction.":[149],"evaluation":[151],"results":[152],"benchmark":[154],"data":[155],"sets":[156],"demonstrate":[157],"that":[158],"scheme":[161],"comparable":[166],"best":[169],"existing":[170],"methods.":[171]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
