{"id":"https://openalex.org/W4404032013","doi":"https://doi.org/10.1109/icccnt61001.2024.10725275","title":"Comparative Analysis of Deep Learning Models for Currency Recognition and Value Detection","display_name":"Comparative Analysis of Deep Learning Models for Currency Recognition and Value Detection","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404032013","doi":"https://doi.org/10.1109/icccnt61001.2024.10725275"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10725275","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10725275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5107294032","display_name":"Tata Kaushik","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tata Kaushik","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108568112","display_name":"A. Vani","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aasritha Sri Vani","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107294034","display_name":"N Vithyatharshana","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N Vithyatharshana","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009873216","display_name":"Meena Belwal","orcid":"https://orcid.org/0000-0002-9141-6815"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Meena Belwal","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087300004","display_name":"Sangita Khare","orcid":"https://orcid.org/0000-0002-5992-7076"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sangita Khare","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.2629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5715956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"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":0.9979000091552734,"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":0.9979000091552734,"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/currency","display_name":"Currency","score":0.6593393683433533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6537711024284363},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.533768892288208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5210520625114441},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5203168392181396},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36160844564437866},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3255343735218048},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3225322365760803},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.0801829993724823},{"id":"https://openalex.org/keywords/monetary-economics","display_name":"Monetary economics","score":0.06345260143280029}],"concepts":[{"id":"https://openalex.org/C141121606","wikidata":"https://www.wikidata.org/wiki/Q8142","display_name":"Currency","level":2,"score":0.6593393683433533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6537711024284363},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.533768892288208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5210520625114441},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5203168392181396},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36160844564437866},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3255343735218048},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3225322365760803},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0801829993724823},{"id":"https://openalex.org/C556758197","wikidata":"https://www.wikidata.org/wiki/Q580018","display_name":"Monetary economics","level":1,"score":0.06345260143280029}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10725275","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10725275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5199999809265137,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1946204979","https://openalex.org/W2127810783","https://openalex.org/W2787426119","https://openalex.org/W2791937449","https://openalex.org/W2899739675","https://openalex.org/W2900744972","https://openalex.org/W2900908033","https://openalex.org/W2912591275","https://openalex.org/W2974028037","https://openalex.org/W3028909419","https://openalex.org/W3036538309","https://openalex.org/W3038743852","https://openalex.org/W3040413393","https://openalex.org/W3134182560","https://openalex.org/W3213668515","https://openalex.org/W4308509585","https://openalex.org/W4385625527","https://openalex.org/W4386213785"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W4402473275","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Accurate":[0],"currency":[1,61],"recognition":[2],"and":[3,22,31,60,75,83,91,111,140],"conversion":[4],"are":[5],"essential":[6],"for":[7,57],"smooth":[8],"cross-border":[9],"transactions":[10],"in":[11,48,78,103,137],"today\u2019s":[12],"globalized":[13],"economy.":[14],"Yet,":[15],"the":[16,26,54,115,123,138],"wide":[17],"variety":[18],"of":[19,28,42,65,80,89,125,130],"cash":[20],"denominations":[21],"variances,":[23],"combined":[24],"with":[25,101],"complexities":[27],"deep":[29,43],"learning":[30,44],"image":[32],"processing,":[33],"make":[34],"this":[35,66,131],"work":[36],"extremely":[37],"difficult.":[38],"A":[39],"comparative":[40],"comparison":[41],"models":[45],"is":[46,68,133],"helpful":[47],"addressing":[49],"these":[50],"issues":[51],"by":[52],"identifying":[53,82],"best":[55],"method":[56],"value":[58],"identification":[59],"recognition.":[62],"The":[63,128],"objective":[64],"research":[67],"to":[69,134],"examine":[70],"how":[71,118],"well":[72,119],"ResNet50V2,":[73],"VGG16,":[74],"MobileNet":[76],"perform":[77],"terms":[79],"precisely":[81],"valuing":[84],"currencies.":[85],"Utilizing":[86],"a":[87],"sample":[88],"Thai":[90],"Indian":[92],"banknotes":[93],"from":[94],"IEEE":[95],"data":[96],"port":[97],"that":[98],"include":[99],"notes":[100],"differences":[102],"orientation":[104],"(rotated":[105],"at":[106],"180-degree":[107],"angles),":[108],"lighting":[109],"conditions,":[110],"other":[112],"environmental":[113],"factors.,":[114],"study":[116,132],"assesses":[117],"each":[120],"model":[121],"handles":[122],"complexity":[124],"money":[126],"data.":[127],"purpose":[129],"give":[135],"practitioners":[136],"banking":[139],"finance":[141],"industries":[142],"useful":[143],"insights.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
