{"id":"https://openalex.org/W3119386446","doi":"https://doi.org/10.1109/siu49456.2020.9302141","title":"Multiple Barcode Detection with Mask R-CNN","display_name":"Multiple Barcode Detection with Mask R-CNN","publication_year":2020,"publication_date":"2020-10-05","ids":{"openalex":"https://openalex.org/W3119386446","doi":"https://doi.org/10.1109/siu49456.2020.9302141","mag":"3119386446"},"language":"en","primary_location":{"id":"doi:10.1109/siu49456.2020.9302141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","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/A5003867156","display_name":"Enes Polat","orcid":"https://orcid.org/0000-0002-3307-1089"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Enes Polat","raw_affiliation_strings":["Atat&#x00FC;rk &#x00DC;niversitesi,Erzurum,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Atat&#x00FC;rk &#x00DC;niversitesi,Erzurum,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019874212","display_name":"Hussein M.A. Mohammed","orcid":"https://orcid.org/0000-0001-5491-5669"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hussein Mahmood Abdo Mohammed","raw_affiliation_strings":["Atat&#x00FC;rk &#x00DC;niversitesi,Erzurum,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Atat&#x00FC;rk &#x00DC;niversitesi,Erzurum,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059263945","display_name":"Asl\u0131 Nur \u00d6mero\u011flu","orcid":"https://orcid.org/0000-0001-6262-4968"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Asli Nur Omeroglu","raw_affiliation_strings":["Atat&#x00FC;rk &#x00DC;niversitesi,Erzurum,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Atat&#x00FC;rk &#x00DC;niversitesi,Erzurum,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077004422","display_name":"Nida Kumbasar","orcid":"https://orcid.org/0000-0001-5497-4618"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nida Kumbasar","raw_affiliation_strings":["Atat&#x00FC;rk &#x00DC;niversitesi,Erzurum,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Atat&#x00FC;rk &#x00DC;niversitesi,Erzurum,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029983008","display_name":"\u0130brahim Y\u00fccel \u00d6zbek","orcid":"https://orcid.org/0000-0002-5734-7430"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"I. Yucel Ozbek","raw_affiliation_strings":["Atat&#x00FC;rk &#x00DC;niversitesi,Erzurum,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Atat&#x00FC;rk &#x00DC;niversitesi,Erzurum,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111533530","display_name":"Emin Argun Oral","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emin Argun Oral","raw_affiliation_strings":["Atat&#x00FC;rk &#x00DC;niversitesi,Erzurum,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Atat&#x00FC;rk &#x00DC;niversitesi,Erzurum,T&#x00FC;rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3924,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87411298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13270","display_name":"QR Code Applications and Technologies","score":1.0,"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":1.0,"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/T11393","display_name":"Biosensors and Analytical Detection","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.958299994468689,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/barcode","display_name":"Barcode","score":0.9543676376342773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7861912846565247},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.6058885455131531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6006976366043091},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5658966898918152},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5186744928359985},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5136246085166931},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.47160348296165466},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4687250852584839},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.46344947814941406},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4526231288909912},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41005799174308777},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30966800451278687},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06924763321876526}],"concepts":[{"id":"https://openalex.org/C2776841711","wikidata":"https://www.wikidata.org/wiki/Q856","display_name":"Barcode","level":2,"score":0.9543676376342773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7861912846565247},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6058885455131531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6006976366043091},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5658966898918152},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5186744928359985},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5136246085166931},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.47160348296165466},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4687250852584839},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.46344947814941406},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4526231288909912},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41005799174308777},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30966800451278687},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06924763321876526},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu49456.2020.9302141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu49456.2020.9302141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1582243283","https://openalex.org/W1902041153","https://openalex.org/W2115018301","https://openalex.org/W2136590411","https://openalex.org/W2372506239","https://openalex.org/W2513174007","https://openalex.org/W2565639579","https://openalex.org/W2744699359","https://openalex.org/W2766206664","https://openalex.org/W2949660381","https://openalex.org/W2967506941"],"related_works":["https://openalex.org/W3192357901","https://openalex.org/W3036286480","https://openalex.org/W2387360586","https://openalex.org/W4287027631","https://openalex.org/W4237171675","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W2962677013"],"abstract_inverted_index":{"Almost":[0],"all":[1,52],"products":[2,126],"on":[3,124],"the":[4,26,36,55,78,81,85,88,93,101,111,119],"market":[5],"today":[6],"have":[7,24,95],"a":[8,21,139],"unique":[9],"code":[10],"or":[11],"ID":[12],"associated":[13],"with":[14,155],"them.":[15],"This":[16],"special":[17],"identification":[18],"is":[19,65],"called":[20],"barcode.":[22],"Barcodes":[23],"been":[25,96],"subject":[27],"of":[28,49,80,105,142],"extensive":[29],"research":[30],"in":[31,41,58,84,92,118],"recent":[32],"years":[33],"due":[34],"to":[35,76,115],"high":[37],"demand":[38],"for":[39],"automation":[40],"various":[42,125],"industrial":[43],"environments.":[44],"Fast":[45],"and":[46,132,138],"accurate":[47],"reading":[48],"barcodes,":[50],"where":[51],"details":[53],"about":[54],"product":[56],"used":[57,75],"many":[59],"commercial":[60],"applications":[61],"can":[62],"be":[63],"learned,":[64],"very":[66],"important.":[67],"In":[68,87],"this":[69,116,148],"study,":[70],"Mask":[71,89,156],"R-CNN":[72],"algorithm":[73],"was":[74,145,153],"determine":[77],"regions":[79],"1B":[82],"barcodes":[83,91,123],"image.":[86],"R-CNN,":[90],"image":[94],"detected,":[97],"as":[98,100,108,110],"well":[99,109],"bounding":[102,120],"box":[103],"position":[104],"each":[106],"barcode,":[107],"pixel":[112],"information":[113],"corresponding":[114],"class":[117],"box.":[121],"Colored":[122],"taken":[127],"at":[128,133],"different":[129,134],"ambient":[130],"lights":[131],"angles":[135],"were":[136],"collected":[137],"data":[140],"set":[141],"1114":[143],"images":[144],"prepared.":[146],"Using":[147],"dataset,":[149],"74.41":[150],"%":[151],"accuracy":[152],"achieved":[154],"R-CNN.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
