{"id":"https://openalex.org/W4220985848","doi":"https://doi.org/10.1109/icce53296.2022.9730217","title":"Barcode Image Identification Based on Maximum a Posterior Probability","display_name":"Barcode Image Identification Based on Maximum a Posterior Probability","publication_year":2022,"publication_date":"2022-01-07","ids":{"openalex":"https://openalex.org/W4220985848","doi":"https://doi.org/10.1109/icce53296.2022.9730217"},"language":"en","primary_location":{"id":"doi:10.1109/icce53296.2022.9730217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce53296.2022.9730217","pdf_url":null,"source":{"id":"https://openalex.org/S4363608007","display_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","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/A5100359358","display_name":"Dong-Wook Kim","orcid":"https://orcid.org/0000-0002-4668-743X"},"institutions":[{"id":"https://openalex.org/I70591777","display_name":"Jeonju University","ror":"https://ror.org/015v9d997","country_code":"KR","type":"education","lineage":["https://openalex.org/I70591777"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dongwook Kim","raw_affiliation_strings":["Jeonju University,Dept. of Inform. & Telecom. Engineering,Jeonju,South Korea","Dept. of Inform. &#x0026"],"affiliations":[{"raw_affiliation_string":"Jeonju University,Dept. of Inform. & Telecom. Engineering,Jeonju,South Korea","institution_ids":["https://openalex.org/I70591777"]},{"raw_affiliation_string":"Dept. of Inform. &#x0026","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069226047","display_name":"Jungsoo Kang","orcid":"https://orcid.org/0009-0001-0542-6575"},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungsoo Kang","raw_affiliation_strings":["Jinoid Corp.,Seoul,South Korea","Jinoid Corp., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Jinoid Corp.,Seoul,South Korea","institution_ids":["https://openalex.org/I4210131320"]},{"raw_affiliation_string":"Jinoid Corp., Seoul, South Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100359358"],"corresponding_institution_ids":["https://openalex.org/I70591777"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02537703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13270","display_name":"QR Code Applications and Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9635999798774719,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9541000127792358,"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/barcode","display_name":"Barcode","score":0.9951781630516052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7448444962501526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7039995789527893},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6407394409179688},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6196376085281372},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5983051061630249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5730888843536377},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4599967896938324},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.44688883423805237}],"concepts":[{"id":"https://openalex.org/C2776841711","wikidata":"https://www.wikidata.org/wiki/Q856","display_name":"Barcode","level":2,"score":0.9951781630516052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7448444962501526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7039995789527893},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6407394409179688},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6196376085281372},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5983051061630249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5730888843536377},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4599967896938324},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.44688883423805237},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/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/icce53296.2022.9730217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce53296.2022.9730217","pdf_url":null,"source":{"id":"https://openalex.org/S4363608007","display_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","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":3,"referenced_works":["https://openalex.org/W1940398440","https://openalex.org/W2161053615","https://openalex.org/W3016418803"],"related_works":["https://openalex.org/W2256570403","https://openalex.org/W2074156223","https://openalex.org/W4391927655","https://openalex.org/W2103246366","https://openalex.org/W2901653204","https://openalex.org/W2102526470","https://openalex.org/W2613659923","https://openalex.org/W4378447789","https://openalex.org/W3207557903","https://openalex.org/W1980504858"],"abstract_inverted_index":{"This":[0,72],"paper":[1],"presents":[2],"a":[3,26,79],"new":[4],"method":[5,74],"robust":[6,33],"to":[7,84],"noise":[8,40],"for":[9],"vision-based":[10],"barcode":[11,19,36,49,58,67,86],"recognition.":[12],"We":[13],"propose":[14],"an":[15],"effective":[16],"and":[17,45,55],"stable":[18],"recognition":[20,34,59],"technique":[21],"based":[22,64],"on":[23,65],"the":[24,43,48,57,62],"maximum":[25],"posterior":[27],"probability":[28],"of":[29,35,47,81],"observation":[30],"signals.":[31],"For":[32],"image":[37],"mixed":[38],"with":[39],"signals,":[41],"first,":[42],"center":[44],"angle":[46],"area":[50],"are":[51],"extracted":[52],"without":[53],"rotation,":[54],"second,":[56],"techniques":[60],"using":[61],"likelihoods":[63],"multiple":[66],"scan":[68],"lines":[69],"is":[70],"proposed.":[71],"proposed":[73],"shows":[75],"superior":[76],"performance":[77],"as":[78],"result":[80],"its":[82],"application":[83],"various":[85],"images.":[87]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}