{"id":"https://openalex.org/W2148311533","doi":"https://doi.org/10.1109/icsmc.2009.5346224","title":"SwiftPost &amp;#x2014; A vision-based fast postal envelope identification system","display_name":"SwiftPost &amp;#x2014; A vision-based fast postal envelope identification system","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2148311533","doi":"https://doi.org/10.1109/icsmc.2009.5346224","mag":"2148311533"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2009.5346224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","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/A5101456403","display_name":"Xue Gao","orcid":"https://orcid.org/0000-0002-9083-6658"},"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":"Xue Gao","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080674767","display_name":"Lianwen Jin","orcid":"https://orcid.org/0000-0002-5456-0957"},"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":"Lianwen Jin","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3285,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64003585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"16","issue":null,"first_page":"3268","last_page":"3273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991000294685364,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9944000244140625,"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/alphanumeric","display_name":"Alphanumeric","score":0.7809976935386658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6604778170585632},{"id":"https://openalex.org/keywords/envelope","display_name":"Envelope (radar)","score":0.5760743618011475},{"id":"https://openalex.org/keywords/font","display_name":"Font","score":0.5545237064361572},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.5519471168518066},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5458394289016724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5013930797576904},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.4683888256549835},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.45620983839035034},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43481093645095825},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42814117670059204},{"id":"https://openalex.org/keywords/chinese-characters","display_name":"Chinese characters","score":0.4270055890083313},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17213094234466553},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12055972218513489},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11673036217689514}],"concepts":[{"id":"https://openalex.org/C2781003394","wikidata":"https://www.wikidata.org/wiki/Q737372","display_name":"Alphanumeric","level":2,"score":0.7809976935386658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604778170585632},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.5760743618011475},{"id":"https://openalex.org/C2777737414","wikidata":"https://www.wikidata.org/wiki/Q4868296","display_name":"Font","level":2,"score":0.5545237064361572},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.5519471168518066},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5458394289016724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5013930797576904},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.4683888256549835},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.45620983839035034},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43481093645095825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42814117670059204},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.4270055890083313},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17213094234466553},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12055972218513489},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11673036217689514},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2009.5346224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","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":20,"referenced_works":["https://openalex.org/W1756033901","https://openalex.org/W1909199407","https://openalex.org/W2004531766","https://openalex.org/W2014986661","https://openalex.org/W2029076385","https://openalex.org/W2054907104","https://openalex.org/W2103176932","https://openalex.org/W2110025586","https://openalex.org/W2115119106","https://openalex.org/W2117388111","https://openalex.org/W2135923403","https://openalex.org/W2140754849","https://openalex.org/W2142069714","https://openalex.org/W2142293706","https://openalex.org/W2148539800","https://openalex.org/W2154723850","https://openalex.org/W2168327439","https://openalex.org/W4206203246","https://openalex.org/W6638098620","https://openalex.org/W6681184196"],"related_works":["https://openalex.org/W4200491602","https://openalex.org/W3015507988","https://openalex.org/W3210847758","https://openalex.org/W3044341113","https://openalex.org/W2896440226","https://openalex.org/W2956037940","https://openalex.org/W1525834835","https://openalex.org/W1974753588","https://openalex.org/W2348050188","https://openalex.org/W4385187174"],"abstract_inverted_index":{"A":[0,44],"vision-based":[1],"fast":[2],"postal":[3,12,37,128,190,210],"envelope":[4,107,142,206],"identification":[5],"system":[6,17,134,174,199],"for":[7],"moving":[8],"machine":[9],"printed":[10,85],"Chinese":[11,58],"envelopes":[13,27,159],"is":[14,130,192],"proposed.":[15],"Our":[16],"uses":[18],"a":[19,177],"high-speed":[20],"camera":[21],"to":[22,139],"capture":[23],"the":[24,30,36,42,84,123,137,141,185,205],"image":[25],"of":[26,46,49,88,111,127,179,189],"running":[28],"on":[29,41,97,169,204],"convey":[31],"device":[32],"and":[33,39,66,70,117,122,144,161,184],"then":[34],"recognizes":[35],"address":[38,129,191],"postcode":[40],"envelopes.":[43],"vocabulary":[45],"4590":[47],"categories":[48],"characters":[50,59,103,113],"are":[51],"supported,":[52],"which":[53,153],"include":[54,76],"4516":[55],"frequently":[56],"used":[57,156],"defined":[60],"in":[61,150,157,209],"GB2312-80,":[62],"62":[63],"alphanumeric":[64],"characters,":[65],"12":[67],"punctuation":[68],"marks":[69],"symbols.":[71],"The":[72,94,163],"supported":[73],"font":[74,86],"styles":[75],"Song,":[77,79],"Fang":[78],"Kai,":[80],"Hei,":[81],"etc.":[82],"with":[83,108,166],"size":[87],"no":[89],"less":[90],"than":[91],"7.5":[92],"points.":[93],"experimental":[95,164],"results":[96,147,165],"761":[98],"mail":[99],"images":[100,143],"representing":[101],"25,060":[102],"show":[104],"that":[105,172],"an":[106,109],"average":[110],"32.9":[112],"can":[114,154,175,200],"be":[115,155,201],"processed":[116],"recognized":[118],"within":[119],"81.38":[120],"milliseconds":[121],"character":[124,186],"recognition":[125,146,187],"rate":[126,188],"98.72%.":[131],"Furthermore,":[132],"our":[133,173,198],"also":[135],"provides":[136],"function":[138],"store":[140],"their":[145],"into":[148],"database":[149],"real":[151],"time,":[152],"subsequent":[158],"tracking":[160],"management.":[162],"live":[167],"mails":[168,181],"site":[170],"indicate":[171],"reach":[176],"speed":[178],"21,000":[180],"per":[182],"hour,":[183],"as":[193,195],"high":[194],"98.92%.":[196],"Besides,":[197],"conveniently":[202],"equipped":[203],"processing":[207],"devices":[208],"service":[211],"center.":[212]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
