{"id":"https://openalex.org/W2151048293","doi":"https://doi.org/10.1109/iccvw.2011.6130223","title":"Towards robust and efficient text sign reading from a mobile phone","display_name":"Towards robust and efficient text sign reading from a mobile phone","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2151048293","doi":"https://doi.org/10.1109/iccvw.2011.6130223","mag":"2151048293"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2011.6130223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","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/A5058207668","display_name":"Ana B. Cambra","orcid":null},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"A. B. Cambra","raw_affiliation_strings":["DIIS, Instituto de Investigaci\u00f3n en Ingenier\u00eda de Arag\u00f3n, University of Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIIS, Instituto de Investigaci\u00f3n en Ingenier\u00eda de Arag\u00f3n, University of Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074342722","display_name":"Ana C. Murillo","orcid":"https://orcid.org/0000-0002-7580-9037"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"A. C. Murillo","raw_affiliation_strings":["DIIS, Instituto de Investigaci\u00f3n en Ingenier\u00eda de Arag\u00f3n, University of Zaragoza, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIIS, Instituto de Investigaci\u00f3n en Ingenier\u00eda de Arag\u00f3n, University of Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7851,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77222864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"64","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9973999857902527,"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":0.8374172449111938},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.8169459104537964},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.763380765914917},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.6875998973846436},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.627333402633667},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47888773679733276},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4777790307998657},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.4768013656139374},{"id":"https://openalex.org/keywords/gsm-services","display_name":"GSM services","score":0.4759661555290222},{"id":"https://openalex.org/keywords/text-detection","display_name":"Text detection","score":0.45584505796432495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43520307540893555},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4340531527996063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4194689095020294},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.3985488712787628},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24994951486587524},{"id":"https://openalex.org/keywords/mobile-technology","display_name":"Mobile technology","score":0.20535162091255188},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15124154090881348},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11332806944847107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8374172449111938},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.8169459104537964},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.763380765914917},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.6875998973846436},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.627333402633667},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47888773679733276},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4777790307998657},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.4768013656139374},{"id":"https://openalex.org/C205789325","wikidata":"https://www.wikidata.org/wiki/Q15811187","display_name":"GSM services","level":4,"score":0.4759661555290222},{"id":"https://openalex.org/C2983589003","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text detection","level":3,"score":0.45584505796432495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43520307540893555},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4340531527996063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4194689095020294},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.3985488712787628},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24994951486587524},{"id":"https://openalex.org/C60952562","wikidata":"https://www.wikidata.org/wiki/Q6887246","display_name":"Mobile technology","level":3,"score":0.20535162091255188},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15124154090881348},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11332806944847107},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccvw.2011.6130223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7699999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1481948459","https://openalex.org/W1488125194","https://openalex.org/W1521064364","https://openalex.org/W1982966173","https://openalex.org/W2005964041","https://openalex.org/W2033819227","https://openalex.org/W2065350108","https://openalex.org/W2098711471","https://openalex.org/W2102833797","https://openalex.org/W2117586922","https://openalex.org/W2125561172","https://openalex.org/W2131605657","https://openalex.org/W2131673214","https://openalex.org/W2143786659","https://openalex.org/W2153099487","https://openalex.org/W2166274584","https://openalex.org/W2555860637","https://openalex.org/W2911355490","https://openalex.org/W6629021407","https://openalex.org/W6631165897","https://openalex.org/W6667094255","https://openalex.org/W6675883133","https://openalex.org/W6679510917","https://openalex.org/W6679774445"],"related_works":["https://openalex.org/W2333678665","https://openalex.org/W2153308567","https://openalex.org/W4306707571","https://openalex.org/W2347980758","https://openalex.org/W2046852935","https://openalex.org/W2363708595","https://openalex.org/W1487365181","https://openalex.org/W2532376487","https://openalex.org/W3172446129","https://openalex.org/W2386505507"],"abstract_inverted_index":{"Embedded":[0],"applications":[1,22],"on":[2,19,66,75,152],"mobile":[3,24],"phones":[4],"are":[5,149],"reaching":[6],"impressive":[7],"goals":[8],"thanks":[9],"to":[10,44,55,95,102,108,121,125],"the":[11,91,134,153,156,164,171],"current":[12],"powerful":[13],"smartphones.":[14],"This":[15,116],"work":[16],"is":[17,54,119],"focused":[18],"text":[20,46,110,165],"recognition":[21,111],"from":[23],"phone":[25,154],"pictures.":[26],"Optical":[27],"Character":[28],"Recognition":[29],"(OCR)":[30],"methods":[31],"have":[32,41],"been":[33],"developed":[34],"for":[35],"a":[36,67,71,78],"longtime,":[37],"but":[38],"they":[39],"still":[40],"poor":[42],"robustness":[43],"process":[45,103],"in":[47,61,90,155,170],"general":[48,52],"scene":[49],"images.":[50],"Our":[51],"goal":[53],"study":[56],"and":[57,104],"improve":[58],"their":[59],"results,":[60],"particular":[62],"when":[63],"running":[64,74],"locally":[65,151],"phone.":[68,172],"We":[69,132],"present":[70],"realistic":[72],"prototype":[73],"iOS,":[76],"with":[77,142],"light":[79],"geometry":[80],"based":[81],"pre-processing":[82],"step":[83],"that":[84],"helps":[85],"detecting":[86],"regions":[87],"of":[88,129,137],"interest":[89],"image,":[92],"i.e.,":[93],"likely":[94],"contain":[96],"text-signs.":[97],"Then,":[98],"we":[99],"show":[100],"how":[101],"filter":[105],"these":[106],"hypothesis":[107],"facilitate":[109],"by":[112],"standard":[113,168],"OCR":[114,145],"methods.":[115],"initial":[117],"version":[118],"aimed":[120],"rectangular":[122],"shaped":[123],"signs":[124],"easily":[126],"take":[127],"advantage":[128],"geometric":[130],"cues.":[131],"demonstrate":[133],"performance":[135],"improvements":[136],"including":[138],"our":[139],"proposal":[140],"together":[141],"several":[143],"available":[144],"libraries.":[146],"All":[147],"steps":[148],"run":[150],"designed":[157],"application,":[158],"which":[159],"can":[160],"read":[161],"or":[162],"translate":[163],"using":[166],"additional":[167],"services":[169]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}