{"id":"https://openalex.org/W2982392882","doi":"https://doi.org/10.11591/ijece.v9i5.pp4372-4381","title":"Real-time online fingerprint image classification using adaptive hybrid techniques","display_name":"Real-time online fingerprint image classification using adaptive hybrid techniques","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2982392882","doi":"https://doi.org/10.11591/ijece.v9i5.pp4372-4381","mag":"2982392882"},"language":"en","primary_location":{"id":"doi:10.11591/ijece.v9i5.pp4372-4381","doi":"https://doi.org/10.11591/ijece.v9i5.pp4372-4381","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijece.v9i5.pp4372-4381","pdf_url":"http://ijece.iaescore.com/index.php/IJECE/article/download/18371/13049","source":{"id":"https://openalex.org/S4210235676","display_name":"International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering","issn_l":"2722-256X","issn":["2722-256X","2722-2578"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Electrical and Computer Engineering (IJECE)","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://ijece.iaescore.com/index.php/IJECE/article/download/18371/13049","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016141350","display_name":"Annapurna Mishra","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405277781","display_name":"Stradford International College","ror":"https://ror.org/03w9kkj89","country_code":"MY","type":"education","lineage":["https://openalex.org/I4405277781"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Annapurna Mishra","raw_affiliation_strings":["Silicon Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Silicon Institute of Technology","institution_ids":["https://openalex.org/I4405277781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001882647","display_name":"Satchidananda Dehuri","orcid":"https://orcid.org/0000-0003-1435-4531","observed_orcids":["https://orcid.org/0000-0003-1435-4531"]},"institutions":[{"id":"https://openalex.org/I108526665","display_name":"Fakir Mohan University","ror":"https://ror.org/00g0n6t22","country_code":"IN","type":"education","lineage":["https://openalex.org/I108526665"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satchidananda Dehuri","raw_affiliation_strings":["Fakir Mohan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fakir Mohan University","institution_ids":["https://openalex.org/I108526665"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4744,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.66301676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"9","issue":"5","first_page":"4372","last_page":"4372"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.0003000000142492354,"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/T12740","display_name":"Gait Recognition and Analysis","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/functional-link-neural-network","display_name":"functional link artificial neural network","score":0.9610000252723694},{"id":"https://openalex.org/keywords/hybrid-classifier","display_name":"hybrid classifier","score":0.7929999828338623},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.843999981880188},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.9229999780654907},{"id":"https://openalex.org/keywords/gabor-filter-bank","display_name":"Gabor filter bank","score":0.8149999976158142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7409838438034058},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7131484150886536},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6983063220977783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6944519877433777},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6108731627464294},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6093021631240845},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5345560312271118},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.481640487909317},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4310915470123291},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3478472828865051},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.11591/ijece.v9i5.pp4372-4381","doi":"https://doi.org/10.11591/ijece.v9i5.pp4372-4381","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijece.v9i5.pp4372-4381","pdf_url":"http://ijece.iaescore.com/index.php/IJECE/article/download/18371/13049","source":{"id":"https://openalex.org/S4210235676","display_name":"International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering","issn_l":"2722-256X","issn":["2722-256X","2722-2578"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Electrical and Computer Engineering (IJECE)","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:4087948","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/4087948","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"International Journal of Electrical and Computer Engineering (IJECE) 9(5) 4372-4381","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.11591/ijece.v9i5.pp4372-4381","doi":"https://doi.org/10.11591/ijece.v9i5.pp4372-4381","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijece.v9i5.pp4372-4381","pdf_url":"http://ijece.iaescore.com/index.php/IJECE/article/download/18371/13049","source":{"id":"https://openalex.org/S4210235676","display_name":"International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering","issn_l":"2722-256X","issn":["2722-256X","2722-2578"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Electrical and Computer Engineering (IJECE)","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2982392882.pdf","grobid_xml":"https://content.openalex.org/works/W2982392882.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W72693339","https://openalex.org/W1557594219","https://openalex.org/W1560461488","https://openalex.org/W1969239203","https://openalex.org/W1981358793","https://openalex.org/W2008644588","https://openalex.org/W2045765986","https://openalex.org/W2124874699","https://openalex.org/W2125313209","https://openalex.org/W2126885794","https://openalex.org/W2146848460","https://openalex.org/W2147885930","https://openalex.org/W2149715693","https://openalex.org/W2164531580","https://openalex.org/W2168081761","https://openalex.org/W2258321281","https://openalex.org/W2539745074","https://openalex.org/W2736076995","https://openalex.org/W2908447717","https://openalex.org/W2921522479","https://openalex.org/W4240307879"],"related_works":["https://openalex.org/W2967823593","https://openalex.org/W4388186167","https://openalex.org/W3002822112","https://openalex.org/W4240182617","https://openalex.org/W3141744373","https://openalex.org/W4402954039","https://openalex.org/W3012369569","https://openalex.org/W2276498535","https://openalex.org/W7116851324","https://openalex.org/W2789568086"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"three":[3],"different":[4],"hybrid":[5,85,105,117],"classification":[6,39,110],"techniques":[7],"applied":[8],"for":[9,37,55,107,153,184],"the":[10,43,91,108,113,119,159,178],"first":[11],"time":[12,22],"in":[13],"real-time":[14,56,92,154,185],"online":[15,20,57,155,186],"fingerprint":[16,58,156,187],"classification.":[17,188],"Classification":[18],"of":[19,34,46,48,90,180],"real":[21],"fingerprints":[23,93],"is":[24,162,182],"a":[25,97],"complex":[26],"task":[27],"as":[28,65,111,166],"it":[29,82],"involves":[30],"adaptation":[31,45],"and":[32,61,73,100,141,170],"tuning":[33],"classifier":[35],"parameters":[36,47],"better":[38],"accuracy.":[40],"To":[41],"accomplish":[42],"optimal":[44],"functional":[49,126,135,145],"link":[50,127,136,146],"artificial":[51,128,137,147],"neural":[52,129,138,148],"network":[53,130,139,149],"(FLANN)":[54],"classification,":[59,157],"proven":[60],"established":[62],"optimizers,":[63],"such":[64],"Biogeography":[66,123],"based":[67,124,134],"optimizer":[68,76],"(BBO),":[69],"Genetic":[70,132],"algorithm":[71,133],"(GA),":[72],"Particle":[74,142],"swarm":[75,143],"(PSO)":[77],"are":[78,94,151],"intelligently":[79],"infused":[80],"with":[81],"to":[83,168],"form":[84],"classifiers.":[86],"The":[87,173],"global":[88],"features":[89],"extracted":[95],"using":[96],"Gabor":[98],"filter-bank":[99],"then":[101],"passed":[102],"into":[103],"adaptive":[104],"classifiers":[106],"desired":[109],"per":[112],"Henry":[114],"system.":[115],"Three":[116],"classifiers,":[118],"optimized":[120,125,144],"weight":[121],"adapted":[122],"(BBO-FLANN),":[131],"(GA-FLANN)":[140],"(PSO-FLANN),":[150],"explored":[152],"where":[158],"PSO-FLANN":[160],"technique":[161],"showing":[163],"superior":[164],"performance":[165],"compared":[167],"GA-FLANN":[169],"BBO-FLANN":[171],"techniques.":[172],"best":[174],"accuracy":[175],"observed":[176],"by":[177],"application":[179],"PSO-FLANN,":[181],"98%":[183]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2019-11-08T00:00:00"}
