{"id":"https://openalex.org/W2050582761","doi":"https://doi.org/10.1109/icct.2013.6820417","title":"Text code recognition and its definition","display_name":"Text code recognition and its definition","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2050582761","doi":"https://doi.org/10.1109/icct.2013.6820417","mag":"2050582761"},"language":"en","primary_location":{"id":"doi:10.1109/icct.2013.6820417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct.2013.6820417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 15th IEEE International Conference on Communication Technology","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/A5100763211","display_name":"Xue Jiang","orcid":"https://orcid.org/0000-0002-1422-9258"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Xue","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114430029","display_name":"Zhiyan Wang","orcid":"https://orcid.org/0009-0000-7448-5117"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyan Wang","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"444","last_page":"448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9995999932289124,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9995999932289124,"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":0.996399998664856,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/computer-science","display_name":"Computer science","score":0.8215090036392212},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7412065267562866},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.677276611328125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.60845547914505},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5908398032188416},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5526420474052429},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5468837022781372},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.48139169812202454},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4433780014514923},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42711782455444336},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4106399416923523},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21094787120819092}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8215090036392212},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7412065267562866},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.677276611328125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.60845547914505},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5908398032188416},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5526420474052429},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5468837022781372},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.48139169812202454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4433780014514923},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42711782455444336},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4106399416923523},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21094787120819092},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct.2013.6820417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct.2013.6820417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 15th IEEE International Conference on Communication Technology","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":16,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W1964667109","https://openalex.org/W2056044878","https://openalex.org/W2070881261","https://openalex.org/W2106309274","https://openalex.org/W2117002552","https://openalex.org/W2122566658","https://openalex.org/W2122775658","https://openalex.org/W2123562158","https://openalex.org/W2124475023","https://openalex.org/W2126717082","https://openalex.org/W2133059825","https://openalex.org/W2136250599","https://openalex.org/W2154975690","https://openalex.org/W2159911488","https://openalex.org/W4251116389"],"related_works":["https://openalex.org/W2368824897","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2389120450","https://openalex.org/W55249799","https://openalex.org/W1968289971"],"abstract_inverted_index":{"A":[0],"recognition":[1,22,47,123,137],"system":[2,16,127,145],"for":[3,97],"text":[4],"code":[5],"and":[6,21,27,33,59,80],"its":[7],"application":[8],"to":[9],"an":[10,93],"embedded":[11],"machine":[12],"is":[13,56,92,128,139],"presented.":[14],"The":[15,54,73,90,120],"consists":[17,75],"of":[18,43,76,104,125],"encoding,":[19],"decoding":[20,28],"modules.":[23],"During":[24,45],"the":[25,41,46,70,87,110,126,135,144],"encoding":[26,32],"processes,":[29],"a":[30,34,57,102],"novel":[31],"mapping":[35],"mode":[36],"are":[37,52,118],"proposed":[38,116],"based":[39,63],"on":[40,64],"theories":[42],"Reed-Solomon.":[44],"process,":[48],"three":[49],"new":[50],"approaches":[51,117],"proposed.":[53],"first":[55],"partitioning":[58],"sliding":[60],"binarization":[61],"method":[62,96],"sampling":[65],"threshold,":[66],"which":[67,84],"will":[68,85],"keep":[69],"anchor":[71,88],"points.":[72,89],"second":[74],"circle":[77],"dot":[78],"filtering":[79],"connected":[81],"region":[82],"judge,":[83],"find":[86],"third":[91],"improved":[94],"projection":[95],"character":[98],"segmentation.":[99],"By":[100],"recognizing":[101],"variety":[103],"samples":[105],"from":[106],"different":[107],"mobile":[108],"phones,":[109],"experimental":[111],"results":[112],"show":[113],"that":[114,143],"our":[115],"effective.":[119],"average":[121],"correct":[122,136],"rate":[124,138],"95%.":[129],"And":[130],"combined":[131],"with":[132],"RS":[133],"method,":[134],"100%.":[140],"Experiments":[141],"demonstrate":[142],"also":[146],"meets":[147],"speed":[148],"requirement.":[149]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
