{"id":"https://openalex.org/W2156442015","doi":"https://doi.org/10.1109/wocc.2011.5872294","title":"Robust and effective component-based banknote recognition by SURF features","display_name":"Robust and effective component-based banknote recognition by SURF features","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2156442015","doi":"https://doi.org/10.1109/wocc.2011.5872294","mag":"2156442015","pmid":"https://pubmed.ncbi.nlm.nih.gov/25531008"},"language":"en","primary_location":{"id":"doi:10.1109/wocc.2011.5872294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wocc.2011.5872294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 20th Annual Wireless and Optical Communications Conference (WOCC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4270050","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042197930","display_name":"Faiz M. Hasanuzzaman","orcid":null},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Faiz M. Hasanuzzaman","raw_affiliation_strings":["Department of Electrical Engineering, City College of New York, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City College of New York, New York, NY, USA","institution_ids":["https://openalex.org/I125687163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755421","display_name":"Xiaodong Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodong Yang","raw_affiliation_strings":["Department of Electrical Engineering, City College of New York, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City College of New York, New York, NY, USA","institution_ids":["https://openalex.org/I125687163"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074244244","display_name":"Yingli Tian","orcid":"https://orcid.org/0000-0003-4458-360X"},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"YingLi Tian","raw_affiliation_strings":["Department of Electrical Engineering, City College of New York, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City College of New York, New York, NY, USA","institution_ids":["https://openalex.org/I125687163"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042197930"],"corresponding_institution_ids":["https://openalex.org/I125687163"],"apc_list":null,"apc_paid":null,"fwci":3.6622,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.94488887,"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/T14319","display_name":"Currency Recognition and Detection","score":1.0,"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/T14319","display_name":"Currency Recognition and Detection","score":1.0,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9397000074386597,"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/banknote","display_name":"Banknote","score":0.8998249769210815},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8396578431129456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8001374006271362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7472524642944336},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6747903227806091},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5849599242210388},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5629687905311584},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.466518759727478},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45618027448654175},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08794781565666199}],"concepts":[{"id":"https://openalex.org/C2779681140","wikidata":"https://www.wikidata.org/wiki/Q47433","display_name":"Banknote","level":2,"score":0.8998249769210815},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8396578431129456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8001374006271362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7472524642944336},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6747903227806091},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5849599242210388},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5629687905311584},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.466518759727478},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45618027448654175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08794781565666199},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/wocc.2011.5872294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wocc.2011.5872294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 20th Annual Wireless and Optical Communications Conference (WOCC)","raw_type":"proceedings-article"},{"id":"pmid:25531008","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25531008","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"WOCC ... : Wireless & Optical Communications Conference : the ... Annual Wireless & Optical Communications Conference. Annual Wireless & Optical Communications Conference","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.684.7016","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.684.7016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://yangxd.org/publications/papers/Banknote_TSMC.pdf","raw_type":"text"},{"id":"pmh:oai:pubmedcentral.nih.gov:4270050","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4270050","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WOCC","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:4270050","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4270050","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WOCC","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W19720318","https://openalex.org/W1452301651","https://openalex.org/W1558156353","https://openalex.org/W1677409904","https://openalex.org/W1905723784","https://openalex.org/W1971542953","https://openalex.org/W1994433676","https://openalex.org/W1996969571","https://openalex.org/W2024382637","https://openalex.org/W2027669970","https://openalex.org/W2098725208","https://openalex.org/W2099782657","https://openalex.org/W2100084842","https://openalex.org/W2111308925","https://openalex.org/W2115219969","https://openalex.org/W2124087378","https://openalex.org/W2147787341","https://openalex.org/W2151103935","https://openalex.org/W2164184474","https://openalex.org/W2197736702","https://openalex.org/W2314143684","https://openalex.org/W3214102110","https://openalex.org/W6600769931","https://openalex.org/W6628714757","https://openalex.org/W6637400245","https://openalex.org/W6674877803","https://openalex.org/W6804270185"],"related_works":["https://openalex.org/W2759006565","https://openalex.org/W2237246496","https://openalex.org/W3125869783","https://openalex.org/W2197736702","https://openalex.org/W2970516590","https://openalex.org/W2027208990","https://openalex.org/W4389034618","https://openalex.org/W2471704359","https://openalex.org/W2049930962","https://openalex.org/W1996690921"],"abstract_inverted_index":{"Camera-based":[0],"computer":[1],"vision":[2],"technology":[3],"is":[4,79],"able":[5],"to":[6,11,37,53],"assist":[7],"visually":[8,23],"impaired":[9,24],"people":[10,25],"automatically":[12],"recognize":[13],"banknotes.":[14],"A":[15],"good":[16],"banknote":[17,49,67],"recognition":[18,50,68,154],"algorithm":[19,151],"for":[20,55,66],"blind":[21],"or":[22],"should":[26],"have":[27,125],"the":[28,97,116,121],"following":[29],"features:":[30],"1)":[31],"100%":[32,153],"accuracy,":[33],"and":[34,43,86,93,111,118,142,147],"2)":[35],"robustness":[36,117],"various":[38],"conditions":[39,136],"in":[40,81,88,104],"different":[41],"environments":[42],"occlusions.":[44],"Most":[45],"existing":[46],"algorithms":[47],"of":[48,99,120,130,135,144],"are":[51],"limited":[52],"work":[54],"restricted":[56],"conditions.":[57],"In":[58],"this":[59],"paper":[60],"we":[61,124],"propose":[62],"a":[63,127,133],"component-based":[64,77],"framework":[65,78],"by":[69],"using":[70],"Speeded":[71],"Up":[72],"Robust":[73],"Features":[74],"(SURF).":[75],"The":[76,149],"effective":[80],"collecting":[82],"more":[83],"class-specific":[84],"information":[85],"robust":[87],"dealing":[89],"with":[90],"partial":[91],"occlusion":[92],"viewpoint":[94],"changes.":[95,113],"Furthermore,":[96],"evaluation":[98],"SURF":[100],"demonstrates":[101],"its":[102],"effectiveness":[103],"handling":[105],"background":[106],"noise,":[107],"image":[108],"rotation,":[109,141],"scale,":[110],"illumination":[112],"To":[114],"authenticate":[115],"generalizability":[119],"proposed":[122,150],"approach,":[123],"collected":[126],"large":[128],"dataset":[129],"banknotes":[131],"from":[132],"variety":[134],"including":[137],"occlusion,":[138],"cluttered":[139],"background,":[140],"changes":[143],"illumination,":[145],"scaling,":[146],"viewpoints.":[148],"achieves":[152],"rate":[155],"on":[156],"our":[157],"challenging":[158],"dataset.":[159]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}