{"id":"https://openalex.org/W2969807709","doi":"https://doi.org/10.1109/hpsr.2019.8808000","title":"Fast QR code detection based on BING and AdaBoost-SVM","display_name":"Fast QR code detection based on BING and AdaBoost-SVM","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2969807709","doi":"https://doi.org/10.1109/hpsr.2019.8808000","mag":"2969807709"},"language":"en","primary_location":{"id":"doi:10.1109/hpsr.2019.8808000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpsr.2019.8808000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 20th International Conference on High Performance Switching and Routing (HPSR)","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/A5100629588","display_name":"Baoxi Yuan","orcid":"https://orcid.org/0000-0002-5220-879X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Baoxi Yuan","raw_affiliation_strings":["Beijing Jiurui Technology co., LTD, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiurui Technology co., LTD, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319872","display_name":"Yang Li","orcid":"https://orcid.org/0000-0003-1837-541X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Shaanxi Key Laboratory of Integrated and Intelligent Navigation, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Integrated and Intelligent Navigation, Xi'an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085386121","display_name":"Fan Jiang","orcid":"https://orcid.org/0000-0002-8968-5178"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Jiang","raw_affiliation_strings":["Xi \u2018an University of Posts and Telecommunications, Xi'an, China","Xi 'an University of Posts and Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xi \u2018an University of Posts and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"Xi 'an University of Posts and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101499299","display_name":"Xiaojie Xu","orcid":"https://orcid.org/0000-0001-6776-6092"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaojie Xu","raw_affiliation_strings":["Shaanxi Key Laboratory of Integrated and Intelligent Navigation, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Integrated and Intelligent Navigation, Xi'an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068584787","display_name":"Jianhua Zhao","orcid":"https://orcid.org/0000-0002-4997-766X"},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Zhao","raw_affiliation_strings":["School of Information Engineering, Xijing University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Xijing University, Xi'an, China","institution_ids":["https://openalex.org/I4210162994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011248032","display_name":"Deyue Zhang","orcid":"https://orcid.org/0000-0003-0669-7796"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deyue Zhang","raw_affiliation_strings":["Unit 95949 of CPLA, HeBei, China"],"affiliations":[{"raw_affiliation_string":"Unit 95949 of CPLA, HeBei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068876730","display_name":"Jianxin Guo","orcid":"https://orcid.org/0000-0003-3655-8914"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianxin Guo","raw_affiliation_strings":["Shaanxi Key Laboratory of Integrated and Intelligent Navigation, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Integrated and Intelligent Navigation, Xi'an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109518512","display_name":"Yuqian Wang","orcid":"https://orcid.org/0000-0002-3816-8007"},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqian Wang","raw_affiliation_strings":["School of Science, Xijing University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Science, Xijing University, Xi'an, China","institution_ids":["https://openalex.org/I4210162994"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071771834","display_name":"Shanwen Zhang","orcid":"https://orcid.org/0000-0002-4534-5358"},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanwen Zhang","raw_affiliation_strings":["School of Information Engineering, Xijing University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Xijing University, Xi'an, China","institution_ids":["https://openalex.org/I4210162994"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5100629588"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4631,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.9144886,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13270","display_name":"QR Code Applications and Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13270","display_name":"QR Code Applications and Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9921000003814697,"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":0.9799000024795532,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8037952780723572},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6687740087509155},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.6346693634986877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5553834438323975},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4887211322784424},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.43466517329216003},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4302186369895935},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42722517251968384},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41535523533821106},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41426950693130493},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.3133522868156433},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24273517727851868},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.083812415599823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8037952780723572},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6687740087509155},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.6346693634986877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5553834438323975},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4887211322784424},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.43466517329216003},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4302186369895935},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42722517251968384},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41535523533821106},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41426950693130493},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.3133522868156433},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24273517727851868},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.083812415599823},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/hpsr.2019.8808000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpsr.2019.8808000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 20th International Conference on High Performance Switching and Routing (HPSR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W639708223","https://openalex.org/W1558286666","https://openalex.org/W1582243283","https://openalex.org/W1588276153","https://openalex.org/W1974132963","https://openalex.org/W2010181071","https://openalex.org/W2077761443","https://openalex.org/W2084842363","https://openalex.org/W2088049833","https://openalex.org/W2114847928","https://openalex.org/W2159482611","https://openalex.org/W2571847170","https://openalex.org/W2761601495","https://openalex.org/W2769608195","https://openalex.org/W2784045347","https://openalex.org/W2792426547","https://openalex.org/W2796347433","https://openalex.org/W2801085366","https://openalex.org/W2963037989","https://openalex.org/W2963351448"],"related_works":["https://openalex.org/W2057981026","https://openalex.org/W2256021896","https://openalex.org/W2122866860","https://openalex.org/W2134986978","https://openalex.org/W2398368608","https://openalex.org/W1583737874","https://openalex.org/W1994424557","https://openalex.org/W2024449420","https://openalex.org/W3084145657","https://openalex.org/W2380937280"],"abstract_inverted_index":{"In":[0,34,93],"industry":[1],"4.0,":[2],"the":[3,17,38,68,81,87,94,105,136,141,148,159,167,174,186,198],"most":[4,25],"popular":[5],"way":[6],"to":[7,13,36,101],"identify":[8],"and":[9,63,114,131,139,189],"track":[10],"objects":[11],"is":[12,22,67,79,99,126,154],"add":[14],"tags.":[15],"Because":[16],"cost":[18],"of":[19,42,89,107,117,143,150,200],"smart":[20,47],"tag":[21,54],"still":[23,27],"high,":[24],"companies":[26],"use":[28],"cheap":[29],"barcodes":[30],"or":[31],"QR":[32,53,191],"codes.":[33],"order":[35],"solve":[37],"real-time":[39],"positioning":[40,194],"problem":[41],"upgrading":[43],"traditional":[44],"tags":[45],"into":[46],"tags,":[48],"this":[49],"paper":[50],"proposes":[51],"a":[52,146],"location":[55],"method":[56,98],"based":[57,162],"on":[58,163,173],"Binarized":[59],"Normed":[60],"Gradients":[61],"(BING)":[62],"AdaBoost-SVM.":[64],"BING":[65,108],"algorithm":[66,73,169,195],"fastest":[69],"general":[70],"object":[71],"detection":[72],"at":[74],"present,":[75],"but":[76],"its":[77],"disadvantage":[78],"that":[80],"recall":[82],"rate":[83],"decreases":[84],"sharply":[85],"with":[86,158],"increase":[88],"Intersection-over-Union":[90],"(IoU)":[91],"threshold.":[92],"proposed":[95,168],"algorithm,":[96],"Adaboost-SVM":[97],"introduced":[100],"make":[102],"up":[103],"for":[104,128],"shortcomings":[106],"algorithm.":[109],"More":[110],"specifically,":[111],"before":[112],"training":[113,137],"prediction":[115,153],"process":[116],"Adaboost-SVM,":[118],"Contrast":[119],"Limited":[120],"Adaptive":[121],"Histogram":[122],"Equalization":[123],"(CLAHE)":[124],"mechanism":[125],"used":[127],"image":[129,152],"enhancement,":[130],"thus":[132],"can":[133,183],"greatly":[134],"shorten":[135],"time":[138],"improve":[140],"precision":[142,149],"prediction.":[144],"As":[145],"result,":[147],"low-quality":[151],"significantly":[155,184],"improved.":[156],"Compared":[157],"existing":[160],"methods":[161],"Neural":[164],"Network":[165],"(NN),":[166],"does":[170],"not":[171],"depend":[172],"parallel":[175],"acceleration":[176],"hardware":[177,187,202],"such":[178],"as":[179],"GPU,":[180],"hence,":[181],"it":[182],"reduce":[185],"cost,":[188],"expand":[190],"code":[192],"automatic":[193],"utilization":[196],"in":[197],"field":[199],"lower":[201],"requirements.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}