{"id":"https://openalex.org/W2142159465","doi":"https://doi.org/10.1109/cvpr.2010.5540041","title":"Detecting text in natural scenes with stroke width transform","display_name":"Detecting text in natural scenes with stroke width transform","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2142159465","doi":"https://doi.org/10.1109/cvpr.2010.5540041","mag":"2142159465"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5540041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","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/A5033775389","display_name":"Boris Epshtein","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Boris Epshtein","raw_affiliation_strings":["Microsoft Corporation, USA","MICROSOFT CORP"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"MICROSOFT CORP","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075016938","display_name":"Eyal Ofek","orcid":"https://orcid.org/0000-0003-4750-1569"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eyal Ofek","raw_affiliation_strings":["Microsoft Corporation, USA","MICROSOFT CORP"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"MICROSOFT CORP","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020421532","display_name":"Yonatan Wexler","orcid":"https://orcid.org/0009-0009-9485-478X"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yonatan Wexler","raw_affiliation_strings":["Microsoft Corporation, USA","MICROSOFT CORP"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"MICROSOFT CORP","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033775389"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":65.3013,"has_fulltext":false,"cited_by_count":1514,"citation_normalized_percentile":{"value":0.99957046,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2963","last_page":"2970"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9983999729156494,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9977999925613403,"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":0.7596352100372314},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6769023537635803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.66513592004776},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.6427373886108398},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6212222576141357},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5787688493728638},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.5625245571136475},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5309785008430481},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4728943407535553},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.43298566341400146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39080727100372314},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2757105827331543},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07895904779434204}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7596352100372314},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6769023537635803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.66513592004776},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.6427373886108398},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6212222576141357},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5787688493728638},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.5625245571136475},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5309785008430481},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4728943407535553},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.43298566341400146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39080727100372314},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2757105827331543},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07895904779434204},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2010.5540041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.188.187","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.188.187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/%7Eywexler/papers/2010TextDetection.pdf","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/2509a351-7887-4325-94bf-d8be6da24204","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/2509a351-7887-4325-94bf-d8be6da24204","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Epshtein , B , Ofek , E & Wexler , Y 2010 , Detecting text in natural scenes with stroke width transform . in 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition . , 5540041 , IEEE , pp. 2963-2970 , 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition , 13/06/10 . https://doi.org/10.1109/CVPR.2010.5540041","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7799999713897705,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W313004809","https://openalex.org/W1480779007","https://openalex.org/W1523056352","https://openalex.org/W1972774730","https://openalex.org/W1974954013","https://openalex.org/W2009854331","https://openalex.org/W2012801633","https://openalex.org/W2017962986","https://openalex.org/W2024959534","https://openalex.org/W2027883219","https://openalex.org/W2041282092","https://openalex.org/W2105864700","https://openalex.org/W2114449851","https://openalex.org/W2117586922","https://openalex.org/W2120831521","https://openalex.org/W2131673214","https://openalex.org/W2133059825","https://openalex.org/W2137500378","https://openalex.org/W2139196191","https://openalex.org/W2140132917","https://openalex.org/W2142082467","https://openalex.org/W2142300461","https://openalex.org/W2145023731","https://openalex.org/W2164816590","https://openalex.org/W2165569569","https://openalex.org/W2911709767","https://openalex.org/W4234755959","https://openalex.org/W6610984472","https://openalex.org/W6675954980","https://openalex.org/W6677747695","https://openalex.org/W6679774445","https://openalex.org/W6758330063"],"related_works":["https://openalex.org/W2368019753","https://openalex.org/W2333930193","https://openalex.org/W2737356002","https://openalex.org/W2246241526","https://openalex.org/W2374150061","https://openalex.org/W4301122218","https://openalex.org/W2081340182","https://openalex.org/W2369703001","https://openalex.org/W2372323577","https://openalex.org/W2321432690"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2],"novel":[3],"image":[4,17],"operator":[5,34],"that":[6,60],"seeks":[7],"to":[8,47,74],"find":[9],"the":[10,24,49,61,65,72],"value":[11],"of":[12,26],"stroke":[13],"width":[14],"for":[15,51],"each":[16],"pixel,":[18],"and":[19,37,44,80],"demonstrate":[20],"its":[21],"use":[22],"on":[23],"task":[25],"text":[27],"detection":[28],"in":[29,77],"natural":[30],"images.":[31],"The":[32],"suggested":[33,62],"is":[35],"local":[36],"data":[38],"dependent,":[39],"which":[40],"makes":[41],"it":[42],"fast":[43],"robust":[45],"enough":[46],"eliminate":[48],"need":[50],"multi-scale":[52],"computation":[53],"or":[54],"scanning":[55],"windows.":[56],"Extensive":[57],"testing":[58],"shows":[59],"scheme":[63],"outperforms":[64],"latest":[66],"published":[67],"algorithms.":[68],"Its":[69],"simplicity":[70],"allows":[71],"algorithm":[73],"detect":[75],"texts":[76],"many":[78],"fonts":[79],"languages.":[81]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":52},{"year":2022,"cited_by_count":75},{"year":2021,"cited_by_count":109},{"year":2020,"cited_by_count":103},{"year":2019,"cited_by_count":156},{"year":2018,"cited_by_count":138},{"year":2017,"cited_by_count":154},{"year":2016,"cited_by_count":151},{"year":2015,"cited_by_count":167},{"year":2014,"cited_by_count":139},{"year":2013,"cited_by_count":107},{"year":2012,"cited_by_count":61}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
