{"id":"https://openalex.org/W4388207864","doi":"https://doi.org/10.1145/3604078.3604148","title":"Analysis of Image Pattern Classification using Hopfield Network on Letters and Thai Banknotes via MATLAB Implementation","display_name":"Analysis of Image Pattern Classification using Hopfield Network on Letters and Thai Banknotes via MATLAB Implementation","publication_year":2023,"publication_date":"2023-05-19","ids":{"openalex":"https://openalex.org/W4388207864","doi":"https://doi.org/10.1145/3604078.3604148"},"language":"en","primary_location":{"id":"doi:10.1145/3604078.3604148","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604078.3604148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Conference on Digital Image Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068980382","display_name":"Ushik Shrestha Khwakhali","orcid":"https://orcid.org/0000-0002-8453-7926"},"institutions":[{"id":"https://openalex.org/I157358134","display_name":"RMIT Vietnam","ror":"https://ror.org/004axh929","country_code":"VN","type":"education","lineage":["https://openalex.org/I157358134","https://openalex.org/I82951845"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Ushik Shrestha Khwakhali","raw_affiliation_strings":["School of Science, Engineering and Technology, RMIT University Vietnam, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-8453-7926","affiliations":[{"raw_affiliation_string":"School of Science, Engineering and Technology, RMIT University Vietnam, Vietnam","institution_ids":["https://openalex.org/I157358134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060917525","display_name":"Amulya Bhattarai","orcid":"https://orcid.org/0000-0001-9203-394X"},"institutions":[{"id":"https://openalex.org/I115748381","display_name":"Assumption University","ror":"https://ror.org/03zmqc707","country_code":"TH","type":"education","lineage":["https://openalex.org/I115748381"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Amulya Bhattarai","raw_affiliation_strings":["Assumption University, Thailand"],"raw_orcid":"https://orcid.org/0000-0001-9203-394X","affiliations":[{"raw_affiliation_string":"Assumption University, Thailand","institution_ids":["https://openalex.org/I115748381"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chinarom Hannarong","orcid":"https://orcid.org/0009-0008-7400-2830"},"institutions":[{"id":"https://openalex.org/I115748381","display_name":"Assumption University","ror":"https://ror.org/03zmqc707","country_code":"TH","type":"education","lineage":["https://openalex.org/I115748381"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Chinarom Hannarong","raw_affiliation_strings":["Assumption University, Thailand"],"raw_orcid":"https://orcid.org/0009-0008-7400-2830","affiliations":[{"raw_affiliation_string":"Assumption University, Thailand","institution_ids":["https://openalex.org/I115748381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077652984","display_name":"Siyu Deng","orcid":"https://orcid.org/0009-0009-4939-2838"},"institutions":[{"id":"https://openalex.org/I115748381","display_name":"Assumption University","ror":"https://ror.org/03zmqc707","country_code":"TH","type":"education","lineage":["https://openalex.org/I115748381"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Siyu Deng","raw_affiliation_strings":["Assumption University, Thailand"],"raw_orcid":"https://orcid.org/0009-0009-4939-2838","affiliations":[{"raw_affiliation_string":"Assumption University, Thailand","institution_ids":["https://openalex.org/I115748381"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13485518,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9991999864578247,"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":0.9991999864578247,"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/T10320","display_name":"Neural Networks and Applications","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9616000056266785,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6651890277862549},{"id":"https://openalex.org/keywords/hopfield-network","display_name":"Hopfield network","score":0.6421887874603271},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.6399202346801758},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5990905165672302},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5848937034606934},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5704663991928101},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5578010678291321},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5482141375541687},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5099900960922241},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4510294497013092},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4474484920501709},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.43774792551994324},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.42385154962539673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6651890277862549},{"id":"https://openalex.org/C46421273","wikidata":"https://www.wikidata.org/wiki/Q1407668","display_name":"Hopfield network","level":3,"score":0.6421887874603271},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.6399202346801758},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5990905165672302},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5848937034606934},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5704663991928101},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5578010678291321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5482141375541687},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5099900960922241},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4510294497013092},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4474484920501709},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.43774792551994324},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.42385154962539673},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3604078.3604148","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604078.3604148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Conference on Digital Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/27594948","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27594948","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W627140926","https://openalex.org/W2128084896","https://openalex.org/W2280929912","https://openalex.org/W2592623156","https://openalex.org/W3022294839","https://openalex.org/W3030087702","https://openalex.org/W3047607512","https://openalex.org/W3174340489","https://openalex.org/W3208020934","https://openalex.org/W4230663420","https://openalex.org/W4317382424","https://openalex.org/W4318141861"],"related_works":["https://openalex.org/W4300447733","https://openalex.org/W2218979613","https://openalex.org/W2117614743","https://openalex.org/W2122248524","https://openalex.org/W2147679702","https://openalex.org/W1628796099","https://openalex.org/W1638287849","https://openalex.org/W2094126907","https://openalex.org/W2370054079","https://openalex.org/W2625119275"],"abstract_inverted_index":{"This":[0],"paper":[1,121,136],"presents":[2],"the":[3,10,48,59,70,72,94,116,124,129,138,145,156,176,184],"analysis":[4,35,54,73,105],"of":[5,28,69,79,103,113,140,148,158,173,178,186],"Image":[6],"Pattern":[7],"Detection":[8],"using":[9,31],"Hopfield":[11,32,151,174],"algorithm.":[12],"Initially":[13],"two":[14],"simple":[15,37],"letter":[16],"patterns,":[17,71,109],"L":[18],"and":[19,25,38,46,65,89,161,171],"T":[20],"are":[21],"used":[22],"for":[23,58,76,107,115,155],"mathematical":[24],"graphical":[26],"illustration":[27],"pattern":[29],"classification":[30,157,177],"Algorithm.":[33],"Mathematical":[34],"with":[36,93,128],"comprehensive":[39],"elaboration":[40],"helps":[41],"reader":[42],"to":[43,99],"better":[44],"understand":[45],"implement":[47],"algorithm":[49,117,152],"in":[50,119,131,144,169,183],"its":[51],"applications.":[52],"The":[53,101],"is":[55,74,153,180],"further":[56],"extended":[57],"patterns":[60],"L,":[61],"T,":[62],"C,":[63],"U":[64],"Y.":[66],"For":[67],"each":[68],"done":[75,106,182],"matrix":[77,110],"size":[78],"3":[80],"\u00d7":[81,84,87,91],"3,":[82],"5":[83],"5,":[85],"10":[86,88],"28":[90,92],"noise":[95,114,132,188],"ranging":[96],"from":[97],"10%":[98],"80%.":[100],"result":[102],"comparative":[104],"different":[108,187],"sizes,":[111],"presence":[112,185],"presented":[118],"this":[120,135],"shows":[122],"that":[123],"convergence":[125,146],"ratio":[126,147],"decreases":[127],"increase":[130],"percentage.":[133],"Additionally,":[134],"explains":[137],"affect":[139],"Hebbian":[141],"learning":[142],"rule":[143],"patterns.":[149],"Finally,":[150],"applied":[154],"20":[159],"Baht":[160,163],"50":[162],"Thai":[164],"banknotes.":[165],"With":[166],"image":[167],"processing":[168],"MATLAB":[170],"application":[172],"algorithm,":[175],"banknotes":[179],"successfully":[181],"levels.":[189]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}