{"id":"https://openalex.org/W4321063818","doi":"https://doi.org/10.1109/m2vip55626.2022.10041089","title":"Machine Vision Using Cellphone Camera: A comparison of deep networks for classifying three challenging denominations of Indian coins","display_name":"Machine Vision Using Cellphone Camera: A comparison of deep networks for classifying three challenging denominations of Indian coins","publication_year":2022,"publication_date":"2022-11-16","ids":{"openalex":"https://openalex.org/W4321063818","doi":"https://doi.org/10.1109/m2vip55626.2022.10041089"},"language":"en","primary_location":{"id":"doi:10.1109/m2vip55626.2022.10041089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip55626.2022.10041089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2306.06084","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103170979","display_name":"Keyur D. Joshi","orcid":"https://orcid.org/0000-0003-0786-7881"},"institutions":[{"id":"https://openalex.org/I52527943","display_name":"Ahmedabad University","ror":"https://ror.org/02swff503","country_code":"IN","type":"education","lineage":["https://openalex.org/I52527943"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Keyur D. Joshi","raw_affiliation_strings":["Ahmedabad University,Ahmedabad,India","Ahmedabad University, Ahmedabad, India"],"affiliations":[{"raw_affiliation_string":"Ahmedabad University,Ahmedabad,India","institution_ids":["https://openalex.org/I52527943"]},{"raw_affiliation_string":"Ahmedabad University, Ahmedabad, India","institution_ids":["https://openalex.org/I52527943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061979493","display_name":"Dhruv Shah","orcid":"https://orcid.org/0000-0002-7541-3278"},"institutions":[{"id":"https://openalex.org/I52527943","display_name":"Ahmedabad University","ror":"https://ror.org/02swff503","country_code":"IN","type":"education","lineage":["https://openalex.org/I52527943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dhruv Shah","raw_affiliation_strings":["Ahmedabad University,Ahmedabad,India","Ahmedabad University, Ahmedabad, India"],"affiliations":[{"raw_affiliation_string":"Ahmedabad University,Ahmedabad,India","institution_ids":["https://openalex.org/I52527943"]},{"raw_affiliation_string":"Ahmedabad University, Ahmedabad, India","institution_ids":["https://openalex.org/I52527943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089147157","display_name":"Varshil Shah","orcid":null},"institutions":[{"id":"https://openalex.org/I52527943","display_name":"Ahmedabad University","ror":"https://ror.org/02swff503","country_code":"IN","type":"education","lineage":["https://openalex.org/I52527943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Varshil Shah","raw_affiliation_strings":["Ahmedabad University,Ahmedabad,India","Ahmedabad University, Ahmedabad, India"],"affiliations":[{"raw_affiliation_string":"Ahmedabad University,Ahmedabad,India","institution_ids":["https://openalex.org/I52527943"]},{"raw_affiliation_string":"Ahmedabad University, Ahmedabad, India","institution_ids":["https://openalex.org/I52527943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109579382","display_name":"Nilay Gandhi","orcid":null},"institutions":[{"id":"https://openalex.org/I52527943","display_name":"Ahmedabad University","ror":"https://ror.org/02swff503","country_code":"IN","type":"education","lineage":["https://openalex.org/I52527943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nilay Gandhi","raw_affiliation_strings":["Ahmedabad University,Ahmedabad,India","Ahmedabad University, Ahmedabad, India"],"affiliations":[{"raw_affiliation_string":"Ahmedabad University,Ahmedabad,India","institution_ids":["https://openalex.org/I52527943"]},{"raw_affiliation_string":"Ahmedabad University, Ahmedabad, India","institution_ids":["https://openalex.org/I52527943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036937689","display_name":"Sanket J. Shah","orcid":null},"institutions":[{"id":"https://openalex.org/I52527943","display_name":"Ahmedabad University","ror":"https://ror.org/02swff503","country_code":"IN","type":"education","lineage":["https://openalex.org/I52527943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanket J. Shah","raw_affiliation_strings":["Ahmedabad University,Ahmedabad,India","Ahmedabad University, Ahmedabad, India"],"affiliations":[{"raw_affiliation_string":"Ahmedabad University,Ahmedabad,India","institution_ids":["https://openalex.org/I52527943"]},{"raw_affiliation_string":"Ahmedabad University, Ahmedabad, India","institution_ids":["https://openalex.org/I52527943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006107552","display_name":"Sanket Shah","orcid":"https://orcid.org/0000-0002-0617-6061"},"institutions":[{"id":"https://openalex.org/I52527943","display_name":"Ahmedabad University","ror":"https://ror.org/02swff503","country_code":"IN","type":"education","lineage":["https://openalex.org/I52527943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanket B. Shah","raw_affiliation_strings":["Ahmedabad University,Ahmedabad,India","Ahmedabad University, Ahmedabad, India"],"affiliations":[{"raw_affiliation_string":"Ahmedabad University,Ahmedabad,India","institution_ids":["https://openalex.org/I52527943"]},{"raw_affiliation_string":"Ahmedabad University, Ahmedabad, India","institution_ids":["https://openalex.org/I52527943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103170979"],"corresponding_institution_ids":["https://openalex.org/I52527943"],"apc_list":null,"apc_paid":null,"fwci":0.6118,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6870278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"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":0.9998999834060669,"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":0.9998999834060669,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7079805135726929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6362712383270264},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6018938422203064},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5738129615783691},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4512278139591217},{"id":"https://openalex.org/keywords/numeral-system","display_name":"Numeral system","score":0.4186983108520508},{"id":"https://openalex.org/keywords/digital-camera","display_name":"Digital camera","score":0.4179285764694214},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39048945903778076},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.32019034028053284}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7079805135726929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6362712383270264},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6018938422203064},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5738129615783691},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4512278139591217},{"id":"https://openalex.org/C204160518","wikidata":"https://www.wikidata.org/wiki/Q122653","display_name":"Numeral system","level":2,"score":0.4186983108520508},{"id":"https://openalex.org/C2779705975","wikidata":"https://www.wikidata.org/wiki/Q62927","display_name":"Digital camera","level":2,"score":0.4179285764694214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39048945903778076},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32019034028053284}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/m2vip55626.2022.10041089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip55626.2022.10041089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2306.06084","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.06084","pdf_url":"https://arxiv.org/pdf/2306.06084","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2306.06084","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.06084","pdf_url":"https://arxiv.org/pdf/2306.06084","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4321063818.pdf"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1515477905","https://openalex.org/W1686810756","https://openalex.org/W2015363484","https://openalex.org/W2094873793","https://openalex.org/W2141125852","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2343856849","https://openalex.org/W2571973395","https://openalex.org/W2740236408","https://openalex.org/W2963163009","https://openalex.org/W3038973386","https://openalex.org/W3046879136","https://openalex.org/W3047123689","https://openalex.org/W4200028520","https://openalex.org/W6637373629","https://openalex.org/W6927783843","https://openalex.org/W6941013422"],"related_works":["https://openalex.org/W2539042112","https://openalex.org/W587872652","https://openalex.org/W4234680390","https://openalex.org/W2378136823","https://openalex.org/W2376285871","https://openalex.org/W3202497208","https://openalex.org/W2389956414","https://openalex.org/W2379723120","https://openalex.org/W2025860571","https://openalex.org/W4313391810"],"abstract_inverted_index":{"Indian":[0],"currency":[1],"coins":[2,42],"come":[3],"in":[4,29],"a":[5,54,75,79,95,152],"variety":[6],"of":[7,25,34,78,137,151,156],"denominations.":[8],"Off":[9],"all":[10],"the":[11,26,45,62,113,125,138],"varieties":[12],"<tex":[13,18,35,39],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[14,19,36,40],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\unicode{x20B9}1,\\unicode{x20B9}2$</tex>":[15],",":[16],"and":[17,38],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\unicode{x20B9}5$</tex>":[20],"have":[21],"similar":[22],"diameters.":[23],"Majority":[24],"coin":[27,55,80,153],"styles":[28],"market":[30],"circulation":[31],"for":[32,130],"denominations":[33],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\unicode{x20B9}1$</tex>":[37],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\unicode{x20B9}2$</tex>":[41],"are":[43],"nearly":[44],"same":[46],"except":[47],"numerals":[48],"on":[49,58,82,124],"its":[50,59,83,90],"reverse":[51],"side.":[52],"If":[53],"is":[56,65],"resting":[57,81],"obverse":[60],"side,":[61],"correct":[63,91,146],"denomination":[64,92,147],"not":[66],"distinguishable":[67],"by":[68,93,105],"humans.":[69],"Therefore,":[70],"it":[71],"was":[72],"hypothesized":[73],"that":[74,135],"digital":[76,101],"image":[77],"either":[84,149],"size":[85],"could":[86],"be":[87],"classified":[88],"into":[89],"training":[94],"deep":[96,116,140],"neural":[97,117,141],"network":[98,118,142],"model.":[99],"The":[100,132],"images":[102],"were":[103,121],"generated":[104],"using":[106],"cheap":[107],"cell":[108],"phone":[109],"cameras.":[110],"To":[111],"find":[112],"most":[114],"suitable":[115],"architecture,":[119],"four":[120,139],"selected":[122],"based":[123],"preliminary":[126],"analysis":[127],"carried":[128],"out":[129],"comparison.":[131],"results":[133],"confirm":[134],"two":[136],"models":[143],"can":[144],"classify":[145],"from":[148],"side":[150],"with":[154],"accuracy":[155],"97%.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2023-02-17T00:00:00"}